3250 lines
524 KiB
Plaintext
3250 lines
524 KiB
Plaintext
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– L‰æè\¸üÿ„ÀtµL‰æH‰ïèM èè»üÿH…Àu H‹”! Hƒ ë•f D ó7óDG(øóDOóG (æA(èD(ÖóYéóYçóDYÑó\åA(éóYêó\å(èóYëó\åA(èóYïf~àA(áóYçóAXêD(ÐóDYÒóDXÕA(éóYëóD\ÕfD~ÒD(ÐóDYÑHÁâ óAYÉH ÐóYÇfHnèóA\âD(ÖóDYÒóAYÐóXÁóAXâE(ÐóDYÓó\ÂóYÞóAXâóXÃf~âfH~ÀfoÅHÁà H ÐfHnÈÃf. „ @ S(ÈH‰ûHƒì0óóWóYóo&óYVóXÂóWóYVóXÂóW óYV óXÂfïÒ/ÐvW�^ W%˜^ ò l (ÐTH óZÒò\Úò¶^ f/Óv@ó¸^ (Ðó\Ñ(ÂÆÉ ÆÀ YÌYÃXÁ)$H‹D$ó~$HƒÄ0[fHnÈÃ�)d$ ó $èq¶üÿó $fïÒ(Øò…k óZÑóL$ ò\ÂfïÒó\$óZÓòYÂè±üÿó\$ò$(Ãó\$èï´üÿò$ó\$(èóZÀóL$ ò^Ðól$óYË(ÁòZÒó$踴üÿól$fod$ (Èó$ó^Íéÿÿÿf. „ �ATf(ÈI‰üSH‰óHƒìhòòVòYóo*òYRóor)l$ )t$0òXÂòVòYRòXÂòVòYRòXÂfïÒf/Ðv*f(è\ f(\$ fWÊ\ fWÚfWT$0)\$ )T$0òVj f(àfT%BF f(Úò\Üò%] f/ãvLò\Ñf#fCfÉL‰àf(\$ fÒfYâfYÙfYÐfYL$0fXÜfXÊA $AL$HƒÄh[A\Ã�ò $è´üÿH‹×i ò $f(ØfHnÐòL$ò\Ñò\$f(ÂòYÃèT¯üÿò\$ò$f(Ãò\$è:¯üÿò$òL$ò\$òD$ò^ÐòYÙf(Ãò$è
|
|||
|
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¯üÿòd$ò$f(Èò^Ìé ÿÿÿ D SH‰ûHƒì ò_òWòoòf(Ãf(âòYâòYÃòXÄf(åòYåòXÄfïäf.à‡‘ òQÀf.Äzuf/Äuoò
|
|||
|
|
çh f(Ôf(Üòd$òT$ò $èñüÿò $òT$HÇ òXÀòY³h òd$òYØòYÐòYÄò[òSòCHƒÄ [à @ ò^èò^Øf(åò^Ðë�òl$òT$ò\$ò $èÚ±üÿòl$òT$fïäò\$ò $é7ÿÿÿf. „ ATI‰üSH‰ÓH�ì˜ fóo:f(Ë)|$0óozfYË)|$@fïÿf(ÁfÉòXÇòXÁfJf(ÑfYÑòXÂfÒòXÂf.ÇŠò f/Ç…è f(Ãf)fafD(ÉfÃfÛfDÉò~f(ÐfD(õf(óòDl$0fYÕfDÆõfD(ÔòDd$8fAYöfDÆÔòDFòD\$@fYÄfÉH�|$PfAYéfAYÚfDYÌf(âf\æfXÖò6fDYÑfAYÎfD(þòEYýòÔf(àf\ãfXØòÜf(çòAYäf(Ãò^òD\üfA(àòAYãòD\üòd$HòYãòD\üf(çòAYåòD<$fD(üf(æòAYäòAXçfD(ûòEYûòAXçòD|$HòEYøòA\çfD(ûòEYüòAYÝòd$fA(àòAYåòEYÄòA\çfD(þòEYûòAXØòYt$HòAXçòD|$HòDYÿòAYûòDXüò\ßòD|$òXóf(ÚfAXÑfA\Ùòt$òÓfA\Ò)T$Pf(ÕfXÐf\ÅòÂfXÈ)L$`è—üÿÿòt$f$H�|$pòD|$)D$pfDþD)¼$€ èhüÿÿf(t$PfXt$pfïÿf(Œ$€ fXL$`f(!X fYÈfYðf(éfÉföf(ÕòYÕf(ÆòYÆòXÂf(ÑòYÑòXÂf.ø‡ä òQÀH�|$(H�t$ òt$òl$òL$ò$èIüÿò$fïíòd$ òT$(òL$f.Åòt$òl$Šx fïÿf/Ç…j òYòffD(ÜL‰àòYêfEÛfDSòDCòYÊòòDKfDYØfÆÀf(ÞfÛf(ýfYÃfA(ÚfùfAÚfE(ãfEÒfYßò{fD\àfAXÃòAÄfD(ØfD\ÛfXØf(ÁfÅfDYÐf(ÂòYÅòAÛòAYèfA\ÚA $fA(ØòYÙòYÊò\ÃfA(ÙòYÜòXÍòYçòXÃf(ßòYÞòAYñòXÃò\ÎòAD$òXÌòAL$H�Ę [A\Ãf D fL$8fW
|
|||
|
|
*V fÀL$8òL$HfW
|
|||
|
|
V f(\$0òL$Hf(L$@f^Øf^È)\$0)L$@éÊûÿÿf. „ ò^ðò^èò^Èé…þÿÿòt$òl$ò $èÙ¬üÿòt$òl$ò $éôýÿÿ SH‰ûH�ì` òòV òN@H�D$`òf0H‰âf(ØònH�L$@H�|$ òXÚòXÙò\$`f(Øò\Úò\Ùòœ$ˆ f(Úò\ØfW$U ò\Âò\ÙòXÁòœ$° ò^(ò„$Ø òF8f(ÈòXÃò\Ëò„$Ð òŒ$€ òL$hòNò„$¸ fHnÀH�„$€ fHnøf(ÑH�„$ flÇò\ÔòXÌ)D$ fHnÀH�„$À fHnøH�„$à flÇòT$pò”$ òV¾ )D$0fHnÀH�„$ fHnàf(òH�„$ òŒ$È flÄò\õòXÕòŒ$˜ )D$@fHnÀH�„$@ fHnèflÅòt$x)D$Pò´$À ò”$¨ ò”$� è °üÿò„$à òò„$ òCò„$ òCò„$@ òCH�Ä` [Ãf. „ SH‰ûHƒìó_óWóo ó(Ã(âóYâóYÃóXÄ(åóYåóXÄfïä.à‡Œ óQÀ.Äzr/Äumó
|
|||
|
|
µS (Ô(Üód$óT$ó $è)üÿó $óT$Ç óXÀóY€S ód$óYØóYÐóYÄó[óSóC HƒÄ[à D ó^èó^Ø(åó^Ðë�ól$ óT$ó\$ó $èã¯üÿól$ óT$fïäó\$ó $é<ÿÿÿ AUfïäI‰øH‰×ATUSH‰óHƒìHóo>)<$( $YÉ(Á(ÑóXÄÆÑUóXÂ(ÑÑÆÉÿóXÂóXÁ.ÄŠ¥ /Ä…œ H‹$H�l$0fDnàHÁè fDnØH‹D$A(ÄA(ËfnÐHÁè fn؉D$ ó$è&òÿÿó\$ ó$L‰ÇfH~ÆfH~ÉA(ÄA(ËèòÿÿH‰ïH‰t$0fI
|
|||
|
|
/Ä… óYÝóH‰ïót$0óYÕóYÍó\$4ó[ óT$8óSóL$<óKèÚðÿÿHƒÄH[]A\A]à € H‹D$H‹ $fïÿÆÀ ó~ oP H¾ ÿÿÿÿ‰D$ HÁè fnÈH‰È‰ÉHÁè óZÉfWËfHnÐóZÒfWÓòZúf~úfïÒfïÿHÁâ óZT$ fWÓòZùH ÑòZÒf~Òf~øH‰ $H‹L$HÁà H!ñH ʉÒH ÂH‰T$(4$^ð)4$é¹ýÿÿ D ó^Øó^Ðó^Èéîþÿÿó\$ óT$ ó $èñ¬üÿó\$ óT$ ó $écþÿÿf. „ �SH‰ûH�ìÐ óóVóN H�D$PófH‰â(ØónH�L$0H�|$óXÚóXÙó\$P(Øó\Úó\Ùó\$d(Úó\ØWKO ó\Âó\ÙóXÁó\$xó^ó„$Œ óF (ÈóXÃó\Ëó„$ˆ óL$`óL$TóNóD$|fHnÀH�D$`fHnø(ÑH�D$pflÇó\ÔóXÌ)D$fHnÀH�„$€ fHnøH�„$� flÇóT$póT$XóV ¾ )D$ fHnÀH�„$ fHnà(òóXÕóŒ$„ flÄó\õH�„$° óL$l)D$0fHnÀH�„$À fHnèóT$tflÅót$\)D$@ó´$€ óT$hèB¡üÿó„$� óó„$ óCó„$° óCó„$À óC H�ÄÐ [Ãf�ATH�=™ ¾õ UHƒìè8©üÿH‰ÇI‰Äèý¡üÿH…À„! H‰ÆH�=ÏN H‰Åèò¤üÿ„Àu Iƒ,$„Ó H�±N H�5 N ë% è¨üÿ„Àu7Iƒ,$„Ì H�ŠN H�5.N H‹? H‹8HƒÄ1À]A\馣üÿf D H‰ïèh8ýÿH‰ïè týÿH‰ïè‹ýÿH‰ïèpŸýÿH‰ïè˜ÛýÿH‰ïèÀ þÿH‰ïèèIþÿH‰ïè ŽþÿH‰ïèø¯þÿH‰ïèpÖþÿH‰ïèhÿÿH‰ïè`FÿÿH‰ïè¨ÕÿÿH�=èM èl©üÿHƒÄL‰à]A\Ã�L‰ç訣üÿH�ÖM H�5BM éGÿÿÿ D L‰ç舣üÿé'ÿÿÿH�5ôL H�=•M è`¡üÿHƒìHƒÄÃ
|
|||
|
|
data read-only, Calls GetData
|
|||
|
|
@W vtkTuple_IdLi2EE -@f -@P *f @W vtkTuple_IfLi3EE @W vtkTuple_IfLi2EE -@i -@P *i @W vtkTuple_IiLi4EE @W vtkTuple_IiLi3EE @W vtkTuple_IiLi2EE -@B -@P *B @W vtkTuple_IhLi4EE @W vtkTuple_IhLi3EE @W vtkTuple_IhLi2EE @W vtkTuple_IfLi4EE @W vtkTuple_IdLi4EE this function takes no keyword arguments vtkTuple - templated base type for containers of constant size.
|
|||
|
|
|
|||
|
|
This class is a templated data type for storing and manipulating
|
|||
|
|
tuples.
|
|||
|
|
|
|||
|
|
|
|||
|
|
Provided Types:
|
|||
|
|
|
|||
|
|
vtkTuple[float64,4] => vtkTuple<double, 4>
|
|||
|
|
vtkTuple[float32,4] => vtkTuple<float, 4>
|
|||
|
|
vtkTuple[uint8,2] => vtkTuple<unsigned char, 2>
|
|||
|
|
vtkTuple[uint8,3] => vtkTuple<unsigned char, 3>
|
|||
|
|
vtkTuple[uint8,4] => vtkTuple<unsigned char, 4>
|
|||
|
|
vtkTuple[int32,2] => vtkTuple<int, 2>
|
|||
|
|
vtkTuple[int32,3] => vtkTuple<int, 3>
|
|||
|
|
vtkTuple[int32,4] => vtkTuple<int, 4>
|
|||
|
|
vtkTuple[float32,2] => vtkTuple<float, 2>
|
|||
|
|
vtkTuple[float32,3] => vtkTuple<float, 3>
|
|||
|
|
vtkTuple[float64,2] => vtkTuple<double, 2>
|
|||
|
|
vtkTuple[float64,3] => vtkTuple<double, 3>
|
|||
|
|
vtkTuple() -> vtkTuple
|
|||
|
|
C++: vtkTuple()
|
|||
|
|
vtkTuple(scalar:float) -> vtkTuple
|
|||
|
|
C++: explicit vtkTuple(const double &scalar)
|
|||
|
|
vtkTuple(init:(float, float, float, float)) -> vtkTuple
|
|||
|
|
C++: explicit vtkTuple(const double *init)
|
|||
|
|
vtkTuple(__a:vtkTuple_IdLi4EE) -> vtkTuple
|
|||
|
|
C++: vtkTuple(const &vtkTuple<double, 4>)
|
|||
|
|
|
|||
|
|
vtkTuple<double, 4> - templated base type for containers of constant
|
|||
|
|
size.
|
|||
|
|
|
|||
|
|
This class is a templated data type for storing and manipulating
|
|||
|
|
tuples.
|
|||
|
|
|
|||
|
|
vtkTuple() -> vtkTuple
|
|||
|
|
C++: vtkTuple()
|
|||
|
|
vtkTuple(scalar:float) -> vtkTuple
|
|||
|
|
C++: explicit vtkTuple(const float &scalar)
|
|||
|
|
vtkTuple(init:(float, float, float, float)) -> vtkTuple
|
|||
|
|
C++: explicit vtkTuple(const float *init)
|
|||
|
|
vtkTuple(__a:vtkTuple_IfLi4EE) -> vtkTuple
|
|||
|
|
C++: vtkTuple(const &vtkTuple<float, 4>)
|
|||
|
|
|
|||
|
|
vtkTuple<float, 4> - templated base type for containers of constant
|
|||
|
|
size.
|
|||
|
|
|
|||
|
|
This class is a templated data type for storing and manipulating
|
|||
|
|
tuples.
|
|||
|
|
|
|||
|
|
vtkTuple() -> vtkTuple
|
|||
|
|
C++: vtkTuple()
|
|||
|
|
vtkTuple(scalar:int) -> vtkTuple
|
|||
|
|
C++: explicit vtkTuple(const unsigned char &scalar)
|
|||
|
|
vtkTuple(init:(int, int)) -> vtkTuple
|
|||
|
|
C++: explicit vtkTuple(const unsigned char *init)
|
|||
|
|
vtkTuple(__a:vtkTuple_IhLi2EE) -> vtkTuple
|
|||
|
|
C++: vtkTuple(const &vtkTuple<unsigned char, 2>)
|
|||
|
|
|
|||
|
|
vtkTuple<unsigned char, 2> - templated base type for containers of
|
|||
|
|
constant size.
|
|||
|
|
|
|||
|
|
This class is a templated data type for storing and manipulating
|
|||
|
|
tuples.
|
|||
|
|
|
|||
|
|
vtkTuple() -> vtkTuple
|
|||
|
|
C++: vtkTuple()
|
|||
|
|
vtkTuple(scalar:int) -> vtkTuple
|
|||
|
|
C++: explicit vtkTuple(const unsigned char &scalar)
|
|||
|
|
vtkTuple(init:(int, int, int)) -> vtkTuple
|
|||
|
|
C++: explicit vtkTuple(const unsigned char *init)
|
|||
|
|
vtkTuple(__a:vtkTuple_IhLi3EE) -> vtkTuple
|
|||
|
|
C++: vtkTuple(const &vtkTuple<unsigned char, 3>)
|
|||
|
|
|
|||
|
|
vtkTuple<unsigned char, 3> - templated base type for containers of
|
|||
|
|
constant size.
|
|||
|
|
|
|||
|
|
This class is a templated data type for storing and manipulating
|
|||
|
|
tuples.
|
|||
|
|
|
|||
|
|
vtkTuple() -> vtkTuple
|
|||
|
|
C++: vtkTuple()
|
|||
|
|
vtkTuple(scalar:int) -> vtkTuple
|
|||
|
|
C++: explicit vtkTuple(const unsigned char &scalar)
|
|||
|
|
vtkTuple(init:(int, int, int, int)) -> vtkTuple
|
|||
|
|
C++: explicit vtkTuple(const unsigned char *init)
|
|||
|
|
vtkTuple(__a:vtkTuple_IhLi4EE) -> vtkTuple
|
|||
|
|
C++: vtkTuple(const &vtkTuple<unsigned char, 4>)
|
|||
|
|
|
|||
|
|
vtkTuple<unsigned char, 4> - templated base type for containers of
|
|||
|
|
constant size.
|
|||
|
|
|
|||
|
|
This class is a templated data type for storing and manipulating
|
|||
|
|
tuples.
|
|||
|
|
|
|||
|
|
vtkTuple() -> vtkTuple
|
|||
|
|
C++: vtkTuple()
|
|||
|
|
vtkTuple(scalar:int) -> vtkTuple
|
|||
|
|
C++: explicit vtkTuple(const int &scalar)
|
|||
|
|
vtkTuple(init:(int, int)) -> vtkTuple
|
|||
|
|
C++: explicit vtkTuple(const int *init)
|
|||
|
|
vtkTuple(__a:vtkTuple_IiLi2EE) -> vtkTuple
|
|||
|
|
C++: vtkTuple(const &vtkTuple<int, 2>)
|
|||
|
|
|
|||
|
|
vtkTuple<int, 2> - templated base type for containers of constant
|
|||
|
|
size.
|
|||
|
|
|
|||
|
|
This class is a templated data type for storing and manipulating
|
|||
|
|
tuples.
|
|||
|
|
|
|||
|
|
vtkTuple() -> vtkTuple
|
|||
|
|
C++: vtkTuple()
|
|||
|
|
vtkTuple(scalar:int) -> vtkTuple
|
|||
|
|
C++: explicit vtkTuple(const int &scalar)
|
|||
|
|
vtkTuple(init:(int, int, int)) -> vtkTuple
|
|||
|
|
C++: explicit vtkTuple(const int *init)
|
|||
|
|
vtkTuple(__a:vtkTuple_IiLi3EE) -> vtkTuple
|
|||
|
|
C++: vtkTuple(const &vtkTuple<int, 3>)
|
|||
|
|
|
|||
|
|
vtkTuple<int, 3> - templated base type for containers of constant
|
|||
|
|
size.
|
|||
|
|
|
|||
|
|
This class is a templated data type for storing and manipulating
|
|||
|
|
tuples.
|
|||
|
|
|
|||
|
|
vtkTuple() -> vtkTuple
|
|||
|
|
C++: vtkTuple()
|
|||
|
|
vtkTuple(scalar:int) -> vtkTuple
|
|||
|
|
C++: explicit vtkTuple(const int &scalar)
|
|||
|
|
vtkTuple(init:(int, int, int, int)) -> vtkTuple
|
|||
|
|
C++: explicit vtkTuple(const int *init)
|
|||
|
|
vtkTuple(__a:vtkTuple_IiLi4EE) -> vtkTuple
|
|||
|
|
C++: vtkTuple(const &vtkTuple<int, 4>)
|
|||
|
|
|
|||
|
|
vtkTuple<int, 4> - templated base type for containers of constant
|
|||
|
|
size.
|
|||
|
|
|
|||
|
|
This class is a templated data type for storing and manipulating
|
|||
|
|
tuples.
|
|||
|
|
|
|||
|
|
vtkTuple() -> vtkTuple
|
|||
|
|
C++: vtkTuple()
|
|||
|
|
vtkTuple(scalar:float) -> vtkTuple
|
|||
|
|
C++: explicit vtkTuple(const float &scalar)
|
|||
|
|
vtkTuple(init:(float, float)) -> vtkTuple
|
|||
|
|
C++: explicit vtkTuple(const float *init)
|
|||
|
|
vtkTuple(__a:vtkTuple_IfLi2EE) -> vtkTuple
|
|||
|
|
C++: vtkTuple(const &vtkTuple<float, 2>)
|
|||
|
|
|
|||
|
|
vtkTuple<float, 2> - templated base type for containers of constant
|
|||
|
|
size.
|
|||
|
|
|
|||
|
|
This class is a templated data type for storing and manipulating
|
|||
|
|
tuples.
|
|||
|
|
|
|||
|
|
vtkTuple() -> vtkTuple
|
|||
|
|
C++: vtkTuple()
|
|||
|
|
vtkTuple(scalar:float) -> vtkTuple
|
|||
|
|
C++: explicit vtkTuple(const float &scalar)
|
|||
|
|
vtkTuple(init:(float, float, float)) -> vtkTuple
|
|||
|
|
C++: explicit vtkTuple(const float *init)
|
|||
|
|
vtkTuple(__a:vtkTuple_IfLi3EE) -> vtkTuple
|
|||
|
|
C++: vtkTuple(const &vtkTuple<float, 3>)
|
|||
|
|
|
|||
|
|
vtkTuple<float, 3> - templated base type for containers of constant
|
|||
|
|
size.
|
|||
|
|
|
|||
|
|
This class is a templated data type for storing and manipulating
|
|||
|
|
tuples.
|
|||
|
|
|
|||
|
|
vtkTuple() -> vtkTuple
|
|||
|
|
C++: vtkTuple()
|
|||
|
|
vtkTuple(scalar:float) -> vtkTuple
|
|||
|
|
C++: explicit vtkTuple(const double &scalar)
|
|||
|
|
vtkTuple(init:(float, float)) -> vtkTuple
|
|||
|
|
C++: explicit vtkTuple(const double *init)
|
|||
|
|
vtkTuple(__a:vtkTuple_IdLi2EE) -> vtkTuple
|
|||
|
|
C++: vtkTuple(const &vtkTuple<double, 2>)
|
|||
|
|
|
|||
|
|
vtkTuple<double, 2> - templated base type for containers of constant
|
|||
|
|
size.
|
|||
|
|
|
|||
|
|
This class is a templated data type for storing and manipulating
|
|||
|
|
tuples.
|
|||
|
|
|
|||
|
|
vtkTuple() -> vtkTuple
|
|||
|
|
C++: vtkTuple()
|
|||
|
|
vtkTuple(scalar:float) -> vtkTuple
|
|||
|
|
C++: explicit vtkTuple(const double &scalar)
|
|||
|
|
vtkTuple(init:(float, float, float)) -> vtkTuple
|
|||
|
|
C++: explicit vtkTuple(const double *init)
|
|||
|
|
vtkTuple(__a:vtkTuple_IdLi3EE) -> vtkTuple
|
|||
|
|
C++: vtkTuple(const &vtkTuple<double, 3>)
|
|||
|
|
|
|||
|
|
vtkTuple<double, 3> - templated base type for containers of constant
|
|||
|
|
size.
|
|||
|
|
|
|||
|
|
This class is a templated data type for storing and manipulating
|
|||
|
|
tuples.
|
|||
|
|
|
|||
|
|
vtkmodules.vtkCommonMath.vtkTuple_IdLi3EE GetSize(self) -> int
|
|||
|
|
C++: int GetSize()
|
|||
|
|
|
|||
|
|
Get the size of the tuple.
|
|||
|
|
GetData(self) -> Pointer
|
|||
|
|
C++: double *GetData()
|
|||
|
|
|
|||
|
|
Get a pointer to the underlying data of the tuple.
|
|||
|
|
Compare(self, other:vtkTuple_IdLi3EE, tol:float) -> bool
|
|||
|
|
C++: bool Compare(const vtkTuple<double, 3> &other,
|
|||
|
|
const double &tol)
|
|||
|
|
|
|||
|
|
Equality operator with a tolerance to allow fuzzy comparisons.
|
|||
|
|
vtkmodules.vtkCommonMath.vtkTuple_IdLi2EE Compare(self, other:vtkTuple_IdLi2EE, tol:float) -> bool
|
|||
|
|
C++: bool Compare(const vtkTuple<double, 2> &other,
|
|||
|
|
const double &tol)
|
|||
|
|
|
|||
|
|
Equality operator with a tolerance to allow fuzzy comparisons.
|
|||
|
|
vtkmodules.vtkCommonMath.vtkTuple_IfLi3EE GetData(self) -> Pointer
|
|||
|
|
C++: float *GetData()
|
|||
|
|
|
|||
|
|
Get a pointer to the underlying data of the tuple.
|
|||
|
|
Compare(self, other:vtkTuple_IfLi3EE, tol:float) -> bool
|
|||
|
|
C++: bool Compare(const vtkTuple<float, 3> &other,
|
|||
|
|
const float &tol)
|
|||
|
|
|
|||
|
|
Equality operator with a tolerance to allow fuzzy comparisons.
|
|||
|
|
vtkmodules.vtkCommonMath.vtkTuple_IfLi2EE Compare(self, other:vtkTuple_IfLi2EE, tol:float) -> bool
|
|||
|
|
C++: bool Compare(const vtkTuple<float, 2> &other,
|
|||
|
|
const float &tol)
|
|||
|
|
|
|||
|
|
Equality operator with a tolerance to allow fuzzy comparisons.
|
|||
|
|
vtkmodules.vtkCommonMath.vtkTuple_IiLi4EE GetData(self) -> Pointer
|
|||
|
|
C++: int *GetData()
|
|||
|
|
|
|||
|
|
Get a pointer to the underlying data of the tuple.
|
|||
|
|
Compare(self, other:vtkTuple_IiLi4EE, tol:int) -> bool
|
|||
|
|
C++: bool Compare(const vtkTuple<int, 4> &other, const int &tol)
|
|||
|
|
|
|||
|
|
Equality operator with a tolerance to allow fuzzy comparisons.
|
|||
|
|
vtkmodules.vtkCommonMath.vtkTuple_IiLi3EE Compare(self, other:vtkTuple_IiLi3EE, tol:int) -> bool
|
|||
|
|
C++: bool Compare(const vtkTuple<int, 3> &other, const int &tol)
|
|||
|
|
|
|||
|
|
Equality operator with a tolerance to allow fuzzy comparisons.
|
|||
|
|
vtkmodules.vtkCommonMath.vtkTuple_IiLi2EE Compare(self, other:vtkTuple_IiLi2EE, tol:int) -> bool
|
|||
|
|
C++: bool Compare(const vtkTuple<int, 2> &other, const int &tol)
|
|||
|
|
|
|||
|
|
Equality operator with a tolerance to allow fuzzy comparisons.
|
|||
|
|
vtkmodules.vtkCommonMath.vtkTuple_IhLi4EE GetData(self) -> Pointer
|
|||
|
|
C++: unsigned char *GetData()
|
|||
|
|
|
|||
|
|
Get a pointer to the underlying data of the tuple.
|
|||
|
|
Compare(self, other:vtkTuple_IhLi4EE, tol:int) -> bool
|
|||
|
|
C++: bool Compare(const vtkTuple<unsigned char, 4> &other,
|
|||
|
|
const unsigned char &tol)
|
|||
|
|
|
|||
|
|
Equality operator with a tolerance to allow fuzzy comparisons.
|
|||
|
|
vtkmodules.vtkCommonMath.vtkTuple_IhLi3EE Compare(self, other:vtkTuple_IhLi3EE, tol:int) -> bool
|
|||
|
|
C++: bool Compare(const vtkTuple<unsigned char, 3> &other,
|
|||
|
|
const unsigned char &tol)
|
|||
|
|
|
|||
|
|
Equality operator with a tolerance to allow fuzzy comparisons.
|
|||
|
|
vtkmodules.vtkCommonMath.vtkTuple_IhLi2EE Compare(self, other:vtkTuple_IhLi2EE, tol:int) -> bool
|
|||
|
|
C++: bool Compare(const vtkTuple<unsigned char, 2> &other,
|
|||
|
|
const unsigned char &tol)
|
|||
|
|
|
|||
|
|
Equality operator with a tolerance to allow fuzzy comparisons.
|
|||
|
|
vtkmodules.vtkCommonMath.vtkTuple_IfLi4EE Compare(self, other:vtkTuple_IfLi4EE, tol:float) -> bool
|
|||
|
|
C++: bool Compare(const vtkTuple<float, 4> &other,
|
|||
|
|
const float &tol)
|
|||
|
|
|
|||
|
|
Equality operator with a tolerance to allow fuzzy comparisons.
|
|||
|
|
vtkmodules.vtkCommonMath.vtkTuple_IdLi4EE Compare(self, other:vtkTuple_IdLi4EE, tol:float) -> bool
|
|||
|
|
C++: bool Compare(const vtkTuple<double, 4> &other,
|
|||
|
|
const double &tol)
|
|||
|
|
|
|||
|
|
Equality operator with a tolerance to allow fuzzy comparisons.
|
|||
|
|
ÿÿÿÿÿÿÿ ÿÿÿ SafeDownCast vtkObjectBase vtkAmoebaMinimizer GetParameterValue GetParameterScale SetParameterScale SetParameterValue IsTypeOf NewInstance GetNumberOfParameters GetFunctionValue EvaluateFunction Initialize GetContractionRatioMinValue GetExpansionRatioMaxValue GetExpansionRatioMinValue GetContractionRatioMaxValue GetContractionRatio GetIterations GetMaxIterations GetParameterTolerance GetFunctionEvaluations GetTolerance GetExpansionRatio GetParameterName SetMaxIterations SetFunctionValue SetParameterTolerance SetTolerance SetExpansionRatio SetContractionRatio IsA SetFunction Iterate Minimize function_value contraction_ratio expansion_ratio parameter_tolerance max_iterations function_evaluations number_of_parameters @z @zd @id vtkObject GetNumberOfGenerationsFromBaseType GetNumberOfGenerationsFromBase vtkAmoebaMinimizer - nonlinear optimization with a simplex
|
|||
|
|
|
|||
|
|
Superclass: vtkObject
|
|||
|
|
|
|||
|
|
vtkAmoebaMinimizer will modify a set of parameters in order to find
|
|||
|
|
the minimum of a specified function. The method used is commonly
|
|||
|
|
known as the amoeba method, it constructs an n-dimensional simplex in
|
|||
|
|
parameter space (i.e. a tetrahedron if the number or parameters is 3)
|
|||
|
|
and moves the vertices around parameter space until a local minimum
|
|||
|
|
is found. The amoeba method is robust, reasonably efficient, but is
|
|||
|
|
not guaranteed to find the global minimum if several local minima
|
|||
|
|
exist.
|
|||
|
|
|
|||
|
|
vtkmodules.vtkCommonMath.vtkAmoebaMinimizer read-write, Calls GetFunctionValue/SetFunctionValue
|
|||
|
|
read-write, Calls GetContractionRatio/SetContractionRatio
|
|||
|
|
read-write, Calls GetExpansionRatio/SetExpansionRatio
|
|||
|
|
read-write, Calls GetTolerance/SetTolerance
|
|||
|
|
read-write, Calls GetParameterTolerance/SetParameterTolerance
|
|||
|
|
read-write, Calls GetMaxIterations/SetMaxIterations
|
|||
|
|
read-only, Calls GetIterations
|
|||
|
|
read-only, Calls GetFunctionEvaluations
|
|||
|
|
read-only, Calls GetNumberOfParameters
|
|||
|
|
IsTypeOf(type:str) -> int
|
|||
|
|
C++: static vtkTypeBool IsTypeOf(const char *type)
|
|||
|
|
|
|||
|
|
Return 1 if this class type is the same type of (or a subclass
|
|||
|
|
of) the named class. Returns 0 otherwise. This method works in
|
|||
|
|
combination with vtkTypeMacro found in vtkSetGet.h.
|
|||
|
|
IsA(self, type:str) -> int
|
|||
|
|
C++: vtkTypeBool IsA(const char *type) override;
|
|||
|
|
|
|||
|
|
Return 1 if this class is the same type of (or a subclass of) the
|
|||
|
|
named class. Returns 0 otherwise. This method works in
|
|||
|
|
combination with vtkTypeMacro found in vtkSetGet.h.
|
|||
|
|
SafeDownCast(o:vtkObjectBase) -> vtkAmoebaMinimizer
|
|||
|
|
C++: static vtkAmoebaMinimizer *SafeDownCast(vtkObjectBase *o)
|
|||
|
|
|
|||
|
|
NewInstance(self) -> vtkAmoebaMinimizer
|
|||
|
|
C++: vtkAmoebaMinimizer *NewInstance()
|
|||
|
|
|
|||
|
|
GetNumberOfGenerationsFromBaseType(type:str) -> int
|
|||
|
|
C++: static vtkIdType GetNumberOfGenerationsFromBaseType(
|
|||
|
|
const char *type)
|
|||
|
|
|
|||
|
|
Given a the name of a base class of this class type, return the
|
|||
|
|
distance of inheritance between this class type and the named
|
|||
|
|
class (how many generations of inheritance are there between this
|
|||
|
|
class and the named class). If the named class is not in this
|
|||
|
|
class's inheritance tree, return a negative value. Valid
|
|||
|
|
responses will always be nonnegative. This method works in
|
|||
|
|
combination with vtkTypeMacro found in vtkSetGet.h.
|
|||
|
|
GetNumberOfGenerationsFromBase(self, type:str) -> int
|
|||
|
|
C++: vtkIdType GetNumberOfGenerationsFromBase(const char *type)
|
|||
|
|
override;
|
|||
|
|
|
|||
|
|
Given the name of a base class of this class type, return the
|
|||
|
|
distance of inheritance between this class type and the named
|
|||
|
|
class (how many generations of inheritance are there between this
|
|||
|
|
class and the named class). If the named class is not in this
|
|||
|
|
class's inheritance tree, return a negative value. Valid
|
|||
|
|
responses will always be nonnegative. This method works in
|
|||
|
|
combination with vtkTypeMacro found in vtkSetGet.h.
|
|||
|
|
SetFunction(self, f:Callback) -> None
|
|||
|
|
C++: void SetFunction(void (*f)(void *), void *arg)
|
|||
|
|
|
|||
|
|
Specify the function to be minimized. When this function is
|
|||
|
|
called, it must get the parameter values by calling
|
|||
|
|
GetParameterValue() for each parameter, and then must call
|
|||
|
|
SetFunctionValue() to tell the minimizer what the result of the
|
|||
|
|
function evaluation was. The number of function evaluations used
|
|||
|
|
for the minimization can be retrieved using
|
|||
|
|
GetFunctionEvaluations().
|
|||
|
|
SetParameterValue(self, name:str, value:float) -> None
|
|||
|
|
C++: void SetParameterValue(const char *name, double value)
|
|||
|
|
SetParameterValue(self, i:int, value:float) -> None
|
|||
|
|
C++: void SetParameterValue(int i, double value)
|
|||
|
|
|
|||
|
|
Set the initial value for the specified parameter. Calling this
|
|||
|
|
function for any parameter will reset the Iterations and the
|
|||
|
|
FunctionEvaluations counts to zero. You must also use
|
|||
|
|
SetParameterScale() to specify the step size by which the
|
|||
|
|
parameter will be modified during the minimization. It is
|
|||
|
|
preferable to specify parameters by name, rather than by number.
|
|||
|
|
SetParameterScale(self, name:str, scale:float) -> None
|
|||
|
|
C++: void SetParameterScale(const char *name, double scale)
|
|||
|
|
SetParameterScale(self, i:int, scale:float) -> None
|
|||
|
|
C++: void SetParameterScale(int i, double scale)
|
|||
|
|
|
|||
|
|
Set the scale to use when modifying a parameter, i.e. the initial
|
|||
|
|
amount by which the parameter will be modified during the search
|
|||
|
|
for the minimum. It is preferable to identify scalars by name
|
|||
|
|
rather than by number.
|
|||
|
|
GetParameterScale(self, name:str) -> float
|
|||
|
|
C++: double GetParameterScale(const char *name)
|
|||
|
|
GetParameterScale(self, i:int) -> float
|
|||
|
|
C++: double GetParameterScale(int i)
|
|||
|
|
|
|||
|
|
GetParameterValue(self, name:str) -> float
|
|||
|
|
C++: double GetParameterValue(const char *name)
|
|||
|
|
GetParameterValue(self, i:int) -> float
|
|||
|
|
C++: double GetParameterValue(int i)
|
|||
|
|
|
|||
|
|
Get the value of a parameter at the current stage of the
|
|||
|
|
minimization. Call this method within the function that you are
|
|||
|
|
minimizing in order to get the current parameter values. It is
|
|||
|
|
preferable to specify parameters by name rather than by index.
|
|||
|
|
GetParameterName(self, i:int) -> str
|
|||
|
|
C++: const char *GetParameterName(int i)
|
|||
|
|
|
|||
|
|
For completeness, an unchecked method to get the name for
|
|||
|
|
particular parameter (the result will be nullptr if no name was
|
|||
|
|
set).
|
|||
|
|
GetNumberOfParameters(self) -> int
|
|||
|
|
C++: int GetNumberOfParameters()
|
|||
|
|
|
|||
|
|
Get the number of parameters that have been set.
|
|||
|
|
Initialize(self) -> None
|
|||
|
|
C++: void Initialize()
|
|||
|
|
|
|||
|
|
Initialize the minimizer. This will reset the number of
|
|||
|
|
parameters to zero so that the minimizer can be reused.
|
|||
|
|
Minimize(self) -> None
|
|||
|
|
C++: virtual void Minimize()
|
|||
|
|
|
|||
|
|
Iterate until the minimum is found to within the specified
|
|||
|
|
tolerance, or until the MaxIterations has been reached.
|
|||
|
|
Iterate(self) -> int
|
|||
|
|
C++: virtual int Iterate()
|
|||
|
|
|
|||
|
|
Perform one iteration of minimization. Returns zero if the
|
|||
|
|
tolerance stopping criterion has been met.
|
|||
|
|
SetFunctionValue(self, _arg:float) -> None
|
|||
|
|
C++: virtual void SetFunctionValue(double _arg)
|
|||
|
|
|
|||
|
|
Get the function value resulting from the minimization.
|
|||
|
|
GetFunctionValue(self) -> float
|
|||
|
|
C++: double GetFunctionValue()
|
|||
|
|
|
|||
|
|
SetContractionRatio(self, _arg:float) -> None
|
|||
|
|
C++: virtual void SetContractionRatio(double _arg)
|
|||
|
|
|
|||
|
|
Set the amoeba contraction ratio. The default value of 0.5 gives
|
|||
|
|
fast convergence, but larger values such as 0.6 or 0.7 provide
|
|||
|
|
greater stability.
|
|||
|
|
GetContractionRatioMinValue(self) -> float
|
|||
|
|
C++: virtual double GetContractionRatioMinValue()
|
|||
|
|
|
|||
|
|
GetContractionRatioMaxValue(self) -> float
|
|||
|
|
C++: virtual double GetContractionRatioMaxValue()
|
|||
|
|
|
|||
|
|
GetContractionRatio(self) -> float
|
|||
|
|
C++: virtual double GetContractionRatio()
|
|||
|
|
|
|||
|
|
SetExpansionRatio(self, _arg:float) -> None
|
|||
|
|
C++: virtual void SetExpansionRatio(double _arg)
|
|||
|
|
|
|||
|
|
Set the amoeba expansion ratio. The default value is 2.0, which
|
|||
|
|
provides rapid expansion. Values between 1.1 and 2.0 are valid.
|
|||
|
|
GetExpansionRatioMinValue(self) -> float
|
|||
|
|
C++: virtual double GetExpansionRatioMinValue()
|
|||
|
|
|
|||
|
|
GetExpansionRatioMaxValue(self) -> float
|
|||
|
|
C++: virtual double GetExpansionRatioMaxValue()
|
|||
|
|
|
|||
|
|
GetExpansionRatio(self) -> float
|
|||
|
|
C++: virtual double GetExpansionRatio()
|
|||
|
|
|
|||
|
|
SetTolerance(self, _arg:float) -> None
|
|||
|
|
C++: virtual void SetTolerance(double _arg)
|
|||
|
|
|
|||
|
|
Specify the value tolerance to aim for during the minimization.
|
|||
|
|
GetTolerance(self) -> float
|
|||
|
|
C++: virtual double GetTolerance()
|
|||
|
|
|
|||
|
|
SetParameterTolerance(self, _arg:float) -> None
|
|||
|
|
C++: virtual void SetParameterTolerance(double _arg)
|
|||
|
|
|
|||
|
|
Specify the parameter tolerance to aim for during the
|
|||
|
|
minimization.
|
|||
|
|
GetParameterTolerance(self) -> float
|
|||
|
|
C++: virtual double GetParameterTolerance()
|
|||
|
|
|
|||
|
|
SetMaxIterations(self, _arg:int) -> None
|
|||
|
|
C++: virtual void SetMaxIterations(int _arg)
|
|||
|
|
|
|||
|
|
Specify the maximum number of iterations to try before giving up.
|
|||
|
|
GetMaxIterations(self) -> int
|
|||
|
|
C++: virtual int GetMaxIterations()
|
|||
|
|
|
|||
|
|
GetIterations(self) -> int
|
|||
|
|
C++: virtual int GetIterations()
|
|||
|
|
|
|||
|
|
Return the number of iterations that have been performed. This
|
|||
|
|
is not necessarily the same as the number of function
|
|||
|
|
evaluations.
|
|||
|
|
GetFunctionEvaluations(self) -> int
|
|||
|
|
C++: virtual int GetFunctionEvaluations()
|
|||
|
|
|
|||
|
|
Return the number of times that the function has been evaluated.
|
|||
|
|
EvaluateFunction(self) -> None
|
|||
|
|
C++: void EvaluateFunction()
|
|||
|
|
|
|||
|
|
Evaluate the function. This is usually called internally by the
|
|||
|
|
minimization code, but it is provided here as a public method.
|
|||
|
|
ð? à? @vtkFFT BartlettGenerator HanningGenerator BlackmanGenerator SineGenerator RFftFreq RectangularGenerator vtkFFT.Octave vtkFFT.OctaveSubdivision vtkFFT.Scaling vtkFFT.SpectralMode Density Spectrum STFT PSD Full FirstHalf SecondHalf FirstThird SecondThird ThirdThird Hz_31_5 Hz_63 Hz_125 Hz_250 Hz_500 kHz_1 kHz_2 kHz_4 kHz_8 kHz_16 vtkFFT - perform Discrete Fourier Transforms
|
|||
|
|
|
|||
|
|
Superclass: vtkObject
|
|||
|
|
|
|||
|
|
vtkFFT provides methods to perform Discrete Fourier Transforms (DFT).
|
|||
|
|
These include providing forward and reverse Fourier transforms. The
|
|||
|
|
current implementation uses the third-party library kissfft.
|
|||
|
|
|
|||
|
|
The terminology tries to follow the Numpy terminology, that is :
|
|||
|
|
- Fft means the Fast Fourier Transform algorithm
|
|||
|
|
- Prefix `R` stands for Real (meaning optimized function for real
|
|||
|
|
inputs)
|
|||
|
|
- Prefix `I` stands for Inverse
|
|||
|
|
|
|||
|
|
Some functions provides pointer-based version of themself in order to
|
|||
|
|
prevent copying memory when possible.
|
|||
|
|
|
|||
|
|
vtkmodules.vtkCommonMath.vtkFFT FftFreq(windowLength:int, sampleSpacing:float) -> (float, ...)
|
|||
|
|
C++: static std::vector<ScalarNumber> FftFreq(int windowLength,
|
|||
|
|
double sampleSpacing)
|
|||
|
|
|
|||
|
|
Return the DFT sample frequencies. Output has windowLength size.
|
|||
|
|
RFftFreq(windowLength:int, sampleSpacing:float) -> (float, ...)
|
|||
|
|
C++: static std::vector<ScalarNumber> RFftFreq(int windowLength,
|
|||
|
|
double sampleSpacing)
|
|||
|
|
|
|||
|
|
Return the DFT sample frequencies for the real version of the dft
|
|||
|
|
(see Rfft). Output has (windowLength / 2) + 1 size.
|
|||
|
|
HanningGenerator(x:int, size:int) -> float
|
|||
|
|
C++: static ScalarNumber HanningGenerator(std::size_t x,
|
|||
|
|
std::size_t size)
|
|||
|
|
|
|||
|
|
BartlettGenerator(x:int, size:int) -> float
|
|||
|
|
C++: static ScalarNumber BartlettGenerator(std::size_t x,
|
|||
|
|
std::size_t size)
|
|||
|
|
|
|||
|
|
SineGenerator(x:int, size:int) -> float
|
|||
|
|
C++: static ScalarNumber SineGenerator(std::size_t x,
|
|||
|
|
std::size_t size)
|
|||
|
|
|
|||
|
|
BlackmanGenerator(x:int, size:int) -> float
|
|||
|
|
C++: static ScalarNumber BlackmanGenerator(std::size_t x,
|
|||
|
|
std::size_t size)
|
|||
|
|
|
|||
|
|
RectangularGenerator(x:int, size:int) -> float
|
|||
|
|
C++: static ScalarNumber RectangularGenerator(std::size_t x,
|
|||
|
|
std::size_t size)
|
|||
|
|
|
|||
|
|
SafeDownCast(o:vtkObjectBase) -> vtkFFT
|
|||
|
|
C++: static vtkFFT *SafeDownCast(vtkObjectBase *o)
|
|||
|
|
|
|||
|
|
NewInstance(self) -> vtkFFT
|
|||
|
|
C++: vtkFFT *NewInstance()
|
|||
|
|
|
|||
|
|
vtkmodules.vtkCommonMath.vtkFFT.SpectralMode vtkmodules.vtkCommonMath.vtkFFT.Scaling vtkmodules.vtkCommonMath.vtkFFT.OctaveSubdivision vtkmodules.vtkCommonMath.vtkFFT.Octave -DTû!@{®Gáz´?áz®GáÚ?-DTû! @vtkFunctionSet GetNumberOfFunctions FunctionValues number_of_functions GetNumberOfIndependentVariables vtkFunctionSet - Abstract interface for sets of functions
|
|||
|
|
|
|||
|
|
Superclass: vtkObject
|
|||
|
|
|
|||
|
|
vtkFunctionSet specifies an abstract interface for set of functions
|
|||
|
|
of the form F_i = F_i(x_j) where F (with i=1..m) are the functions
|
|||
|
|
and x (with j=1..n) are the independent variables. The only supported
|
|||
|
|
operation is the function evaluation at x_j.
|
|||
|
|
|
|||
|
|
@sa
|
|||
|
|
vtkImplicitDataSet vtkCompositeInterpolatedVelocityField
|
|||
|
|
vtkAMRInterpolatedVelocityField vtkInitialValueProblemSolver
|
|||
|
|
|
|||
|
|
vtkmodules.vtkCommonMath.vtkFunctionSet read-only, Calls GetNumberOfFunctions
|
|||
|
|
number_of_independent_variables read-only, Calls GetNumberOfIndependentVariables
|
|||
|
|
SafeDownCast(o:vtkObjectBase) -> vtkFunctionSet
|
|||
|
|
C++: static vtkFunctionSet *SafeDownCast(vtkObjectBase *o)
|
|||
|
|
|
|||
|
|
NewInstance(self) -> vtkFunctionSet
|
|||
|
|
C++: vtkFunctionSet *NewInstance()
|
|||
|
|
|
|||
|
|
FunctionValues(self, x:[float, ...], f:[float, ...]) -> int
|
|||
|
|
C++: virtual int FunctionValues(double *x, double *f)
|
|||
|
|
FunctionValues(self, x:[float, ...], f:[float, ...],
|
|||
|
|
userData:Pointer) -> int
|
|||
|
|
C++: virtual int FunctionValues(double *x, double *f,
|
|||
|
|
void *userData)
|
|||
|
|
|
|||
|
|
Evaluate functions at x_j. x and f have to point to valid double
|
|||
|
|
arrays of appropriate sizes obtained with GetNumberOfFunctions()
|
|||
|
|
and GetNumberOfIndependentVariables. If you inherit this class,
|
|||
|
|
make sure to reimplement at least one of the two FunctionValues
|
|||
|
|
signatures.
|
|||
|
|
GetNumberOfFunctions(self) -> int
|
|||
|
|
C++: virtual int GetNumberOfFunctions()
|
|||
|
|
|
|||
|
|
Return the number of functions. Note that this is constant for a
|
|||
|
|
given type of set of functions and can not be changed at run
|
|||
|
|
time.
|
|||
|
|
GetNumberOfIndependentVariables(self) -> int
|
|||
|
|
C++: virtual int GetNumberOfIndependentVariables()
|
|||
|
|
|
|||
|
|
Return the number of independent variables. Note that this is
|
|||
|
|
constant for a given type of set of functions and can not be
|
|||
|
|
changed at run time.
|
|||
|
|
vtkInitialValueProblemSolver ComputeNextStep IsAdaptive GetFunctionSet ErrorCodes SetFunctionSet OUT_OF_DOMAIN NOT_INITIALIZED UNEXPECTED_VALUE function_set @PPddddv *d *d @PPPdddd *d *d *d @PPdddddddv *d *d @PPPddddddd *d *d *d vtkInitialValueProblemSolver.ErrorCodes vtkInitialValueProblemSolver - Integrate a set of ordinary
|
|||
|
|
differential equations (initial value problem) in time.
|
|||
|
|
|
|||
|
|
Superclass: vtkObject
|
|||
|
|
|
|||
|
|
Given a vtkFunctionSet which returns dF_i(x_j, t)/dt given x_j and t,
|
|||
|
|
vtkInitialValueProblemSolver computes the value of F_i at t+deltat.
|
|||
|
|
|
|||
|
|
@warning
|
|||
|
|
vtkInitialValueProblemSolver and it's subclasses are not thread-safe.
|
|||
|
|
You should create a new integrator for each thread.
|
|||
|
|
|
|||
|
|
@sa
|
|||
|
|
vtkRungeKutta2 vtkRungeKutta4
|
|||
|
|
|
|||
|
|
vtkmodules.vtkCommonMath.vtkInitialValueProblemSolver read-write, Calls GetFunctionSet/SetFunctionSet
|
|||
|
|
SafeDownCast(o:vtkObjectBase) -> vtkInitialValueProblemSolver
|
|||
|
|
C++: static vtkInitialValueProblemSolver *SafeDownCast(
|
|||
|
|
vtkObjectBase *o)
|
|||
|
|
|
|||
|
|
NewInstance(self) -> vtkInitialValueProblemSolver
|
|||
|
|
C++: vtkInitialValueProblemSolver *NewInstance()
|
|||
|
|
|
|||
|
|
ComputeNextStep(self, xprev:[float, ...], xnext:[float, ...],
|
|||
|
|
t:float, delT:float, maxError:float, error:float) -> int
|
|||
|
|
C++: virtual int ComputeNextStep(double *xprev, double *xnext,
|
|||
|
|
double t, double &delT, double maxError, double &error)
|
|||
|
|
ComputeNextStep(self, xprev:[float, ...], xnext:[float, ...],
|
|||
|
|
t:float, delT:float, maxError:float, error:float,
|
|||
|
|
userData:Pointer) -> int
|
|||
|
|
C++: virtual int ComputeNextStep(double *xprev, double *xnext,
|
|||
|
|
double t, double &delT, double maxError, double &error,
|
|||
|
|
void *userData)
|
|||
|
|
ComputeNextStep(self, xprev:[float, ...], dxprev:[float, ...],
|
|||
|
|
xnext:[float, ...], t:float, delT:float, maxError:float,
|
|||
|
|
error:float) -> int
|
|||
|
|
C++: virtual int ComputeNextStep(double *xprev, double *dxprev,
|
|||
|
|
double *xnext, double t, double &delT, double maxError,
|
|||
|
|
double &error)
|
|||
|
|
ComputeNextStep(self, xprev:[float, ...], dxprev:[float, ...],
|
|||
|
|
xnext:[float, ...], t:float, delT:float, maxError:float,
|
|||
|
|
error:float, userData:Pointer) -> int
|
|||
|
|
C++: virtual int ComputeNextStep(double *xprev, double *dxprev,
|
|||
|
|
double *xnext, double t, double &delT, double maxError,
|
|||
|
|
double &error, void *userData)
|
|||
|
|
ComputeNextStep(self, xprev:[float, ...], xnext:[float, ...],
|
|||
|
|
t:float, delT:float, delTActual:float, minStep:float,
|
|||
|
|
maxStep:float, maxError:float, error:float) -> int
|
|||
|
|
C++: virtual int ComputeNextStep(double *xprev, double *xnext,
|
|||
|
|
double t, double &delT, double &delTActual, double minStep,
|
|||
|
|
double maxStep, double maxError, double &error)
|
|||
|
|
ComputeNextStep(self, xprev:[float, ...], xnext:[float, ...],
|
|||
|
|
t:float, delT:float, delTActual:float, minStep:float,
|
|||
|
|
maxStep:float, maxError:float, error:float, userData:Pointer)
|
|||
|
|
-> int
|
|||
|
|
C++: virtual int ComputeNextStep(double *xprev, double *xnext,
|
|||
|
|
double t, double &delT, double &delTActual, double minStep,
|
|||
|
|
double maxStep, double maxError, double &error,
|
|||
|
|
void *userData)
|
|||
|
|
|
|||
|
|
Given initial values, xprev , initial time, t and a requested
|
|||
|
|
time interval, delT ca ...
|
|||
|
|
[Truncated]
|
|||
|
|
SetFunctionSet(self, fset:vtkFunctionSet) -> None
|
|||
|
|
C++: virtual void SetFunctionSet(vtkFunctionSet *fset)
|
|||
|
|
|
|||
|
|
Set / get the dataset used for the implicit function evaluation.
|
|||
|
|
GetFunctionSet(self) -> vtkFunctionSet
|
|||
|
|
C++: virtual vtkFunctionSet *GetFunctionSet()
|
|||
|
|
|
|||
|
|
IsAdaptive(self) -> int
|
|||
|
|
C++: virtual vtkTypeBool IsAdaptive()
|
|||
|
|
|
|||
|
|
Returns 1 if the solver uses adaptive stepsize control, 0
|
|||
|
|
otherwise
|
|||
|
|
vtkmodules.vtkCommonMath.vtkInitialValueProblemSolver.ErrorCodes XýÿLVýÿtVýÿ”VýÿLVýÿüWýÿAdjoint DeepCopy Multiply3x3 Transpose Invert MultiplyPoint GetElement SetData IsIdentity SetElement Determinant Zero PPP *d *d *d @V *vtkMatrix3x3 PV *d *vtkMatrix3x3 vtkMatrix3x3 - represent and manipulate 3x3 transformation matrices
|
|||
|
|
|
|||
|
|
Superclass: vtkObject
|
|||
|
|
|
|||
|
|
vtkMatrix3x3 is a class to represent and manipulate 3x3 matrices.
|
|||
|
|
Specifically, it is designed to work on 3x3 transformation matrices
|
|||
|
|
found in 2D rendering using homogeneous coordinates [x y w].
|
|||
|
|
|
|||
|
|
@sa
|
|||
|
|
vtkTransform2D
|
|||
|
|
|
|||
|
|
vtkmodules.vtkCommonMath.vtkMatrix3x3 read-write, Calls GetData/SetData
|
|||
|
|
SafeDownCast(o:vtkObjectBase) -> vtkMatrix3x3
|
|||
|
|
C++: static vtkMatrix3x3 *SafeDownCast(vtkObjectBase *o)
|
|||
|
|
|
|||
|
|
NewInstance(self) -> vtkMatrix3x3
|
|||
|
|
C++: vtkMatrix3x3 *NewInstance()
|
|||
|
|
|
|||
|
|
DeepCopy(self, source:vtkMatrix3x3) -> None
|
|||
|
|
C++: void DeepCopy(vtkMatrix3x3 *source)
|
|||
|
|
DeepCopy(elements:[float, float, float, float, float, float,
|
|||
|
|
float, float, float], source:vtkMatrix3x3) -> None
|
|||
|
|
C++: static void DeepCopy(double elements[9],
|
|||
|
|
vtkMatrix3x3 *source)
|
|||
|
|
DeepCopy(elements:[float, float, float, float, float, float,
|
|||
|
|
float, float, float], newElements:(float, float, float, float,
|
|||
|
|
float, float, float, float, float)) -> None
|
|||
|
|
C++: static void DeepCopy(double elements[9],
|
|||
|
|
const double newElements[9])
|
|||
|
|
DeepCopy(self, elements:(float, float, float, float, float, float,
|
|||
|
|
float, float, float)) -> None
|
|||
|
|
C++: void DeepCopy(const double elements[9])
|
|||
|
|
|
|||
|
|
Set the elements of the matrix to the same values as the elements
|
|||
|
|
of the source Matrix.
|
|||
|
|
Zero(self) -> None
|
|||
|
|
C++: void Zero()
|
|||
|
|
Zero(elements:[float, float, float, float, float, float, float,
|
|||
|
|
float, float]) -> None
|
|||
|
|
C++: static void Zero(double elements[9])
|
|||
|
|
|
|||
|
|
Set all of the elements to zero.
|
|||
|
|
Identity(self) -> None
|
|||
|
|
C++: void Identity()
|
|||
|
|
Identity(elements:[float, float, float, float, float, float,
|
|||
|
|
float, float, float]) -> None
|
|||
|
|
C++: static void Identity(double elements[9])
|
|||
|
|
|
|||
|
|
Set equal to Identity matrix
|
|||
|
|
Invert(in_:vtkMatrix3x3, out:vtkMatrix3x3) -> None
|
|||
|
|
C++: static void Invert(vtkMatrix3x3 *in, vtkMatrix3x3 *out)
|
|||
|
|
Invert(self) -> None
|
|||
|
|
C++: void Invert()
|
|||
|
|
Invert(inElements:(float, float, float, float, float, float,
|
|||
|
|
float, float, float), outElements:[float, float, float, float,
|
|||
|
|
float, float, float, float, float]) -> None
|
|||
|
|
C++: static void Invert(const double inElements[9],
|
|||
|
|
double outElements[9])
|
|||
|
|
|
|||
|
|
Matrix Inversion (adapted from Richard Carling in "Graphics
|
|||
|
|
Gems," Academic Press, 1990).
|
|||
|
|
Transpose(in_:vtkMatrix3x3, out:vtkMatrix3x3) -> None
|
|||
|
|
C++: static void Transpose(vtkMatrix3x3 *in, vtkMatrix3x3 *out)
|
|||
|
|
Transpose(self) -> None
|
|||
|
|
C++: void Transpose()
|
|||
|
|
Transpose(inElements:(float, float, float, float, float, float,
|
|||
|
|
float, float, float), outElements:[float, float, float, float,
|
|||
|
|
float, float, float, float, float]) -> None
|
|||
|
|
C++: static void Transpose(const double inElements[9],
|
|||
|
|
double outElements[9])
|
|||
|
|
|
|||
|
|
Transpose the matrix and put it into out.
|
|||
|
|
MultiplyPoint(self, in_:(float, float, float), out:[float, float,
|
|||
|
|
float]) -> None
|
|||
|
|
C++: void MultiplyPoint(const double in[3], double out[3])
|
|||
|
|
MultiplyPoint(elements:(float, float, float, float, float, float,
|
|||
|
|
float, float, float), in_:(float, float, float), out:[float,
|
|||
|
|
float, float]) -> None
|
|||
|
|
C++: static void MultiplyPoint(const double elements[9],
|
|||
|
|
const double in[3], double out[3])
|
|||
|
|
|
|||
|
|
Multiply3x3(a:vtkMatrix3x3, b:vtkMatrix3x3, c:vtkMatrix3x3)
|
|||
|
|
-> None
|
|||
|
|
C++: static void Multiply3x3(vtkMatrix3x3 *a, vtkMatrix3x3 *b,
|
|||
|
|
vtkMatrix3x3 *c)
|
|||
|
|
Multiply3x3(a:(float, float, float, float, float, float, float,
|
|||
|
|
float, float), b:(float, float, float, float, float, float,
|
|||
|
|
float, float, float), c:[float, float, float, float, float,
|
|||
|
|
float, float, float, float]) -> None
|
|||
|
|
C++: static void Multiply3x3(const double a[9], const double b[9],
|
|||
|
|
double c[9])
|
|||
|
|
|
|||
|
|
Multiplies matrices a and b and stores the result in c (c=a*b).
|
|||
|
|
Adjoint(self, in_:vtkMatrix3x3, out:vtkMatrix3x3) -> None
|
|||
|
|
C++: void Adjoint(vtkMatrix3x3 *in, vtkMatrix3x3 *out)
|
|||
|
|
Adjoint(inElements:(float, float, float, float, float, float,
|
|||
|
|
float, float, float), outElements:[float, float, float, float,
|
|||
|
|
float, float, float, float, float]) -> None
|
|||
|
|
C++: static void Adjoint(const double inElements[9],
|
|||
|
|
double outElements[9])
|
|||
|
|
|
|||
|
|
Compute adjoint of the matrix and put it into out.
|
|||
|
|
Determinant(self) -> float
|
|||
|
|
C++: double Determinant()
|
|||
|
|
Determinant(elements:(float, float, float, float, float, float,
|
|||
|
|
float, float, float)) -> float
|
|||
|
|
C++: static double Determinant(const double elements[9])
|
|||
|
|
|
|||
|
|
Compute the determinant of the matrix and return it.
|
|||
|
|
SetElement(self, i:int, j:int, value:float) -> None
|
|||
|
|
C++: void SetElement(int i, int j, double value)
|
|||
|
|
|
|||
|
|
Sets the element i,j in the matrix.
|
|||
|
|
GetElement(self, i:int, j:int) -> float
|
|||
|
|
C++: double GetElement(int i, int j)
|
|||
|
|
|
|||
|
|
Returns the element i,j from the matrix.
|
|||
|
|
IsIdentity(self) -> bool
|
|||
|
|
C++: bool IsIdentity()
|
|||
|
|
|
|||
|
|
GetData(self) -> (float, float, float, float, float, float, float,
|
|||
|
|
float, float)
|
|||
|
|
C++: double *GetData()
|
|||
|
|
|
|||
|
|
Return a pointer to the first element of the matrix (double[9]).
|
|||
|
|
SetData(self, data:(float, float, float, float, float, float,
|
|||
|
|
float, float, float)) -> None
|
|||
|
|
C++: void SetData(const double data[9])
|
|||
|
|
|
|||
|
|
Copies data into the matrix.
|
|||
|
|
@VV *vtkMatrix3x3 *vtkMatrix3x3 VVV *vtkMatrix3x3 *vtkMatrix3x3 *vtkMatrix3x3 VV *vtkMatrix3x3 *vtkMatrix3x3 Multiply4x4 MultiplyAndTranspose4x4 PoseToMatrix MatrixFromRotation MultiplyFloatPoint MultiplyDoublePoint @PP *d *d ddddV *vtkMatrix4x4 ddddP *d @V *vtkMatrix4x4 PV *d *vtkMatrix4x4 vtkMatrix4x4 - represent and manipulate 4x4 transformation matrices
|
|||
|
|
|
|||
|
|
Superclass: vtkObject
|
|||
|
|
|
|||
|
|
vtkMatrix4x4 is a class to represent and manipulate 4x4 matrices.
|
|||
|
|
Specifically, it is designed to work on 4x4 transformation matrices
|
|||
|
|
found in 3D rendering using homogeneous coordinates [x y z w]. Many
|
|||
|
|
of the methods take an array of 16 doubles in row-major format. Note
|
|||
|
|
that OpenGL stores matrices in column-major format, so the matrix
|
|||
|
|
contents must be transposed when they are moved between OpenGL and
|
|||
|
|
VTK.
|
|||
|
|
@sa
|
|||
|
|
vtkTransform
|
|||
|
|
|
|||
|
|
vtkmodules.vtkCommonMath.vtkMatrix4x4 SafeDownCast(o:vtkObjectBase) -> vtkMatrix4x4
|
|||
|
|
C++: static vtkMatrix4x4 *SafeDownCast(vtkObjectBase *o)
|
|||
|
|
|
|||
|
|
NewInstance(self) -> vtkMatrix4x4
|
|||
|
|
C++: vtkMatrix4x4 *NewInstance()
|
|||
|
|
|
|||
|
|
DeepCopy(self, source:vtkMatrix4x4) -> None
|
|||
|
|
C++: void DeepCopy(const vtkMatrix4x4 *source)
|
|||
|
|
DeepCopy(destination:[float, float, float, float, float, float,
|
|||
|
|
float, float, float, float, float, float, float, float, float,
|
|||
|
|
float], source:vtkMatrix4x4) -> None
|
|||
|
|
C++: static void DeepCopy(double destination[16],
|
|||
|
|
const vtkMatrix4x4 *source)
|
|||
|
|
DeepCopy(destination:[float, float, float, float, float, float,
|
|||
|
|
float, float, float, float, float, float, float, float, float,
|
|||
|
|
float], source:(float, float, float, float, float, float,
|
|||
|
|
float, float, float, float, float, float, float, float, float,
|
|||
|
|
float)) -> None
|
|||
|
|
C++: static void DeepCopy(double destination[16],
|
|||
|
|
const double source[16])
|
|||
|
|
DeepCopy(self, elements:(float, float, float, float, float, float,
|
|||
|
|
float, float, float, float, float, float, float, float,
|
|||
|
|
float, float)) -> None
|
|||
|
|
C++: void DeepCopy(const double elements[16])
|
|||
|
|
|
|||
|
|
Set the elements of the matrix to the same values as the elements
|
|||
|
|
of the given source matrix.
|
|||
|
|
Zero(self) -> None
|
|||
|
|
C++: void Zero()
|
|||
|
|
Zero(elements:[float, float, float, float, float, float, float,
|
|||
|
|
float, float, float, float, float, float, float, float,
|
|||
|
|
float]) -> None
|
|||
|
|
C++: static void Zero(double elements[16])
|
|||
|
|
|
|||
|
|
Set all of the elements to zero.
|
|||
|
|
Identity(self) -> None
|
|||
|
|
C++: void Identity()
|
|||
|
|
Identity(elements:[float, float, float, float, float, float,
|
|||
|
|
float, float, float, float, float, float, float, float, float,
|
|||
|
|
float]) -> None
|
|||
|
|
C++: static void Identity(double elements[16])
|
|||
|
|
|
|||
|
|
Set equal to Identity matrix
|
|||
|
|
IsIdentity(self) -> bool
|
|||
|
|
C++: bool IsIdentity()
|
|||
|
|
|
|||
|
|
Returns true if this matrix is equal to the identity matrix.
|
|||
|
|
Invert(in_:vtkMatrix4x4, out:vtkMatrix4x4) -> None
|
|||
|
|
C++: static void Invert(const vtkMatrix4x4 *in, vtkMatrix4x4 *out)
|
|||
|
|
Invert(self) -> None
|
|||
|
|
C++: void Invert()
|
|||
|
|
Invert(inElements:(float, float, float, float, float, float,
|
|||
|
|
float, float, float, float, float, float, float, float, float,
|
|||
|
|
float), outElements:[float, float, float, float, float,
|
|||
|
|
float, float, float, float, float, float, float, float, float,
|
|||
|
|
float, float]) -> None
|
|||
|
|
C++: static void Invert(const double inElements[16],
|
|||
|
|
double outElements[16])
|
|||
|
|
|
|||
|
|
Matrix Inversion (adapted from Richard Carling in "Graphics
|
|||
|
|
Gems," Academic Press, 1990).
|
|||
|
|
Transpose(in_:vtkMatrix4x4, out:vtkMatrix4x4) -> None
|
|||
|
|
C++: static void Transpose(const vtkMatrix4x4 *in,
|
|||
|
|
vtkMatrix4x4 *out)
|
|||
|
|
Transpose(self) -> None
|
|||
|
|
C++: void Transpose()
|
|||
|
|
Transpose(inElements:(float, float, float, float, float, float,
|
|||
|
|
float, float, float, float, float, float, float, float, float,
|
|||
|
|
float), outElements:[float, float, float, float, float,
|
|||
|
|
float, float, float, float, float, float, float, float, float,
|
|||
|
|
float, float]) -> None
|
|||
|
|
C++: static void Transpose(const double inElements[16],
|
|||
|
|
double outElements[16])
|
|||
|
|
|
|||
|
|
Transpose the matrix and put it into out.
|
|||
|
|
MatrixFromRotation(angle:float, x:float, y:float, z:float,
|
|||
|
|
result:vtkMatrix4x4) -> None
|
|||
|
|
C++: static void MatrixFromRotation(double angle, double x,
|
|||
|
|
double y, double z, vtkMatrix4x4 *result)
|
|||
|
|
MatrixFromRotation(angle:float, x:float, y:float, z:float,
|
|||
|
|
matrix:[float, float, float, float, float, float, float,
|
|||
|
|
float, float, float, float, float, float, float, float,
|
|||
|
|
float]) -> None
|
|||
|
|
C++: static void MatrixFromRotation(double angle, double x,
|
|||
|
|
double y, double z, double matrix[16])
|
|||
|
|
|
|||
|
|
Construct a matrix from a rotation
|
|||
|
|
PoseToMatrix(pos:[float, float, float], ori:[float, float, float,
|
|||
|
|
float], mat:vtkMatrix4x4) -> None
|
|||
|
|
C++: static void PoseToMatrix(double pos[3], double ori[4],
|
|||
|
|
vtkMatrix4x4 *mat)
|
|||
|
|
|
|||
|
|
Given an orientation and position this function will fill in a
|
|||
|
|
matrix representing the transformation from the pose to whatever
|
|||
|
|
space the pose was defined in. For example if the position and
|
|||
|
|
orientation are in world coordinates then this method would set
|
|||
|
|
the matrix to be PoseToWorld
|
|||
|
|
MultiplyPoint(self, in_:(float, float, float, float), out:[float,
|
|||
|
|
float, float, float]) -> None
|
|||
|
|
C++: void MultiplyPoint(const double in[4], double out[4])
|
|||
|
|
MultiplyPoint(elements:(float, float, float, float, float, float,
|
|||
|
|
float, float, float, float, float, float, float, float, float,
|
|||
|
|
float), in_:(float, float, float, float), out:[float, float,
|
|||
|
|
float, float]) -> None
|
|||
|
|
C++: static void MultiplyPoint(const double elements[16],
|
|||
|
|
const double in[4], double out[4])
|
|||
|
|
MultiplyPoint(self, in_:(float, float, float, float)) -> (float,
|
|||
|
|
float, float, float)
|
|||
|
|
C++: double *MultiplyPoint(const double in[4])
|
|||
|
|
|
|||
|
|
MultiplyFloatPoint(self, in_:(float, float, float, float)) -> (
|
|||
|
|
float, float, float, float)
|
|||
|
|
C++: float *MultiplyFloatPoint(const float in[4])
|
|||
|
|
|
|||
|
|
MultiplyDoublePoint(self, in_:(float, float, float, float)) -> (
|
|||
|
|
float, float, float, float)
|
|||
|
|
C++: double *MultiplyDoublePoint(const double in[4])
|
|||
|
|
|
|||
|
|
Multiply4x4(a:vtkMatrix4x4, b:vtkMatrix4x4, c:vtkMatrix4x4)
|
|||
|
|
-> None
|
|||
|
|
C++: static void Multiply4x4(const vtkMatrix4x4 *a,
|
|||
|
|
const vtkMatrix4x4 *b, vtkMatrix4x4 *c)
|
|||
|
|
Multiply4x4(a:(float, float, float, float, float, float, float,
|
|||
|
|
float, float, float, float, float, float, float, float, float)
|
|||
|
|
, b:(float, float, float, float, float, float, float, float,
|
|||
|
|
float, float, float, float, float, float, float, float),
|
|||
|
|
c:[float, float, float, float, float, float, float, float,
|
|||
|
|
float, float, float, float, float, float, float, float])
|
|||
|
|
-> None
|
|||
|
|
C++: static void Multiply4x4(const double a[16],
|
|||
|
|
const double b[16], double c[16])
|
|||
|
|
|
|||
|
|
Multiplies matrices a and b and stores the result in c.
|
|||
|
|
MultiplyAndTranspose4x4(a:(float, float, float, float, float,
|
|||
|
|
float, float, float, float, float, float, float, float, float,
|
|||
|
|
float, float), b:(float, float, float, float, float, float,
|
|||
|
|
float, float, float, float, float, float, float, float, float,
|
|||
|
|
float), c:[float, float, float, float, float, float, float,
|
|||
|
|
float, float, float, float, float, float, float, float,
|
|||
|
|
float]) -> None
|
|||
|
|
C++: static void MultiplyAndTranspose4x4(const double a[16],
|
|||
|
|
const double b[16], float c[16])
|
|||
|
|
|
|||
|
|
Adjoint(self, in_:vtkMatrix4x4, out:vtkMatrix4x4) -> None
|
|||
|
|
C++: void Adjoint(const vtkMatrix4x4 *in, vtkMatrix4x4 *out)
|
|||
|
|
Adjoint(inElements:(float, float, float, float, float, float,
|
|||
|
|
float, float, float, float, float, float, float, float, float,
|
|||
|
|
float), outElements:[float, float, float, float, float,
|
|||
|
|
float, float, float, float, float, float, float, float, float,
|
|||
|
|
float, float]) -> None
|
|||
|
|
C++: static void Adjoint(const double inElements[16],
|
|||
|
|
double outElements[16])
|
|||
|
|
|
|||
|
|
Compute adjoint of the matrix and put it into out.
|
|||
|
|
Determinant(self) -> float
|
|||
|
|
C++: double Determinant()
|
|||
|
|
Determinant(elements:(float, float, float, float, float, float,
|
|||
|
|
float, float, float, float, float, float, float, float, float,
|
|||
|
|
float)) -> float
|
|||
|
|
C++: static double Determinant(const double elements[16])
|
|||
|
|
|
|||
|
|
Compute the determinant of the matrix and return it.
|
|||
|
|
GetData(self) -> (float, float, float, float, float, float, float,
|
|||
|
|
float, float, float, float, float, float, float, float,
|
|||
|
|
float)
|
|||
|
|
C++: double *GetData()
|
|||
|
|
|
|||
|
|
Returns the raw double array holding the matrix.
|
|||
|
|
SetData(self, data:(float, float, float, float, float, float,
|
|||
|
|
float, float, float, float, float, float, float, float, float,
|
|||
|
|
float)) -> None
|
|||
|
|
C++: void SetData(const double data[16])
|
|||
|
|
|
|||
|
|
Copies data into the matrix.
|
|||
|
|
@VV *vtkMatrix4x4 *vtkMatrix4x4 VVV *vtkMatrix4x4 *vtkMatrix4x4 *vtkMatrix4x4 VV *vtkMatrix4x4 *vtkMatrix4x4 SolveQuadratic TartagliaCardanSolve FerrariSolve LinBairstowSolve FilterRoots SetDivisionTolerance GetDivisionTolerance SolveCubic SturmBisectionSolve HabichtBisectionSolve SolveLinear division_tolerance ddd PPP *d *d *i vtkPolynomialSolversUnivariate vtkPolynomialSolversUnivariate - polynomial solvers
|
|||
|
|
|
|||
|
|
Superclass: vtkObject
|
|||
|
|
|
|||
|
|
vtkPolynomialSolversUnivariate provides solvers for univariate
|
|||
|
|
polynomial equations with real coefficients. The Tartaglia-Cardan and
|
|||
|
|
Ferrari solvers work on polynomials of fixed degree 3 and 4,
|
|||
|
|
respectively. The Lin-Bairstow and Sturm solvers work on polynomials
|
|||
|
|
of arbitrary degree. The Sturm solver is the most robust solver but
|
|||
|
|
only reports roots within an interval and does not report
|
|||
|
|
multiplicities. The Lin-Bairstow solver reports multiplicities.
|
|||
|
|
|
|||
|
|
For difficult polynomials, you may wish to use FilterRoots to
|
|||
|
|
eliminate some of the roots reported by the Sturm solver. FilterRoots
|
|||
|
|
evaluates the derivatives near each root to eliminate cases where a
|
|||
|
|
local minimum or maximum is close to zero.
|
|||
|
|
|
|||
|
|
@par Thanks: Thanks to Philippe Pebay, Korben Rusek, David Thompson,
|
|||
|
|
and Maurice Rojas for implementing these solvers.
|
|||
|
|
|
|||
|
|
vtkmodules.vtkCommonMath.vtkPolynomialSolversUnivariate read-write, Calls GetDivisionTolerance/SetDivisionTolerance
|
|||
|
|
SafeDownCast(o:vtkObjectBase) -> vtkPolynomialSolversUnivariate
|
|||
|
|
C++: static vtkPolynomialSolversUnivariate *SafeDownCast(
|
|||
|
|
vtkObjectBase *o)
|
|||
|
|
|
|||
|
|
NewInstance(self) -> vtkPolynomialSolversUnivariate
|
|||
|
|
C++: vtkPolynomialSolversUnivariate *NewInstance()
|
|||
|
|
|
|||
|
|
HabichtBisectionSolve(P:[float, ...], d:int, a:[float, ...],
|
|||
|
|
upperBnds:[float, ...], tol:float) -> int
|
|||
|
|
C++: static int HabichtBisectionSolve(double *P, int d, double *a,
|
|||
|
|
double *upperBnds, double tol)
|
|||
|
|
HabichtBisectionSolve(P:[float, ...], d:int, a:[float, ...],
|
|||
|
|
upperBnds:[float, ...], tol:float, intervalType:int) -> int
|
|||
|
|
C++: static int HabichtBisectionSolve(double *P, int d, double *a,
|
|||
|
|
double *upperBnds, double tol, int intervalType)
|
|||
|
|
HabichtBisectionSolve(P:[float, ...], d:int, a:[float, ...],
|
|||
|
|
upperBnds:[float, ...], tol:float, intervalType:int,
|
|||
|
|
divideGCD:bool) -> int
|
|||
|
|
C++: static int HabichtBisectionSolve(double *P, int d, double *a,
|
|||
|
|
double *upperBnds, double tol, int intervalType,
|
|||
|
|
bool divideGCD)
|
|||
|
|
|
|||
|
|
Finds all REAL roots (within tolerance tol) of the d -th degree
|
|||
|
|
polynomial\[ P[0] X^d + ... + P[d-1] X + P[d]\] in ] a[0] ; a[1]]
|
|||
|
|
using the Habicht sequence (polynomial coefficients are REAL) and
|
|||
|
|
returns the count nr. All roots are bracketed in the nr first ]
|
|||
|
|
upperBnds[i] - tol ; upperBnds[i]] intervals. Returns -1 if
|
|||
|
|
anything went wrong (such as: polynomial does not have degree d,
|
|||
|
|
the interval provided by the other is absurd, etc.).
|
|||
|
|
|
|||
|
|
* intervalType specifies the search interval as follows:
|
|||
|
|
* 0 = 00 = ]a,b[
|
|||
|
|
* 1 = 10 = [a,b[
|
|||
|
|
* 2 = 01 = ]a,b]
|
|||
|
|
* 3 = 11 = [a,b]
|
|||
|
|
* This defaults to 0.
|
|||
|
|
|
|||
|
|
* The last non-zero item in the Habicht sequence is the gcd of P
|
|||
|
|
and P'. The
|
|||
|
|
* parameter divideGCD specifies whether the program should
|
|||
|
|
attempt to divide
|
|||
|
|
* by the gcd and run again. It works better with polynomials
|
|||
|
|
known to have
|
|||
|
|
* high multiplicities. When divideGCD != 0 then it attempts to
|
|||
|
|
divide by the
|
|||
|
|
* GCD, if applicable. This defaults to 0.
|
|||
|
|
|
|||
|
|
* Compared to the Sturm solver the Habicht solver is slower,
|
|||
|
|
* although both are O(d^2). The Habicht solver has the added
|
|||
|
|
benefit
|
|||
|
|
* that it has a built in mechanism to keep the leading
|
|||
|
|
coefficients of the
|
|||
|
|
* result from polynomial division bounded above and below in
|
|||
|
|
absolute value. ...
|
|||
|
|
[Truncated]
|
|||
|
|
SturmBisectionSolve(P:[float, ...], d:int, a:[float, ...],
|
|||
|
|
upperBnds:[float, ...], tol:float) -> int
|
|||
|
|
C++: static int SturmBisectionSolve(double *P, int d, double *a,
|
|||
|
|
double *upperBnds, double tol)
|
|||
|
|
SturmBisectionSolve(P:[float, ...], d:int, a:[float, ...],
|
|||
|
|
upperBnds:[float, ...], tol:float, intervalType:int) -> int
|
|||
|
|
C++: static int SturmBisectionSolve(double *P, int d, double *a,
|
|||
|
|
double *upperBnds, double tol, int intervalType)
|
|||
|
|
SturmBisectionSolve(P:[float, ...], d:int, a:[float, ...],
|
|||
|
|
upperBnds:[float, ...], tol:float, intervalType:int,
|
|||
|
|
divideGCD:bool) -> int
|
|||
|
|
C++: static int SturmBisectionSolve(double *P, int d, double *a,
|
|||
|
|
double *upperBnds, double tol, int intervalType,
|
|||
|
|
bool divideGCD)
|
|||
|
|
|
|||
|
|
Finds all REAL roots (within tolerance tol) of the d -th degree
|
|||
|
|
polynomial P[0] X^d + ... + P[d-1] X + P[d] in ] a[0] ; a[1]]
|
|||
|
|
using Sturm's theorem ( polynomial coefficients are REAL ) and
|
|||
|
|
returns the count nr. All roots are bracketed in the nr first ]
|
|||
|
|
upperBnds[i] - tol ; upperBnds[i]] intervals. Returns -1 if
|
|||
|
|
anything went wrong (such as: polynomial does not have degree d,
|
|||
|
|
the interval provided by the other is absurd, etc.).
|
|||
|
|
|
|||
|
|
* intervalType specifies the search interval as follows:
|
|||
|
|
* 0 = 00 = ]a,b[
|
|||
|
|
* 1 = 10 = [a,b[
|
|||
|
|
* 2 = 01 = ]a,b]
|
|||
|
|
* 3 = 11 = [a,b]
|
|||
|
|
* This defaults to 0.
|
|||
|
|
|
|||
|
|
* The last non-zero item in the Sturm sequence is the gcd of P
|
|||
|
|
and P'. The
|
|||
|
|
* parameter divideGCD specifies whether the program should
|
|||
|
|
attempt to divide
|
|||
|
|
* by the gcd and run again. It works better with polynomials
|
|||
|
|
known to have
|
|||
|
|
* high multiplicities. When divideGCD != 0 then it attempts to
|
|||
|
|
divide by the
|
|||
|
|
* GCD, if applicable. This defaults to 0.
|
|||
|
|
|
|||
|
|
* Constructing the Sturm sequence is O(d^2) in both time and
|
|||
|
|
space.
|
|||
|
|
|
|||
|
|
* Warning: it is the user's responsibility to make sure the
|
|||
|
|
upperBnds
|
|||
|
|
* array is large enough to contain the maximal number of expected
|
|||
|
|
roots.
|
|||
|
|
* Note that nr is smaller or equal to the actual number of roots
|
|||
|
|
in
|
|||
|
|
* ] a[0] ; a[1]] since ro ...
|
|||
|
|
[Truncated]
|
|||
|
|
FilterRoots(P:[float, ...], d:int, upperBnds:[float, ...],
|
|||
|
|
rootcount:int, diameter:float) -> int
|
|||
|
|
C++: static int FilterRoots(double *P, int d, double *upperBnds,
|
|||
|
|
int rootcount, double diameter)
|
|||
|
|
|
|||
|
|
This uses the derivative sequence to filter possible roots of a
|
|||
|
|
polynomial. First it sorts the roots and removes any duplicates.
|
|||
|
|
If the number of sign changes of the derivative sequence at a
|
|||
|
|
root at upperBnds[i] == that at upperBnds[i] - diameter then the
|
|||
|
|
i^th value is removed from upperBnds. It returns the new number
|
|||
|
|
of roots.
|
|||
|
|
LinBairstowSolve(c:[float, ...], d:int, r:[float, ...],
|
|||
|
|
tolerance:float) -> int
|
|||
|
|
C++: static int LinBairstowSolve(double *c, int d, double *r,
|
|||
|
|
double &tolerance)
|
|||
|
|
|
|||
|
|
Seeks all REAL roots of the d -th degree polynomial c[0] X^d +
|
|||
|
|
... + c[d-1] X + c[d] = 0 equation Lin-Bairstow's method (
|
|||
|
|
polynomial coefficients are REAL ) and stores the nr roots found
|
|||
|
|
( multiple roots are multiply stored ) in r.tolerance is the
|
|||
|
|
user-defined solver tolerance; this variable may be relaxed by
|
|||
|
|
the iterative solver if needed. Returns nr. Warning: it is the
|
|||
|
|
user's responsibility to make sure the r array is large enough to
|
|||
|
|
contain the maximal number of expected roots.
|
|||
|
|
FerrariSolve(c:[float, ...], r:[float, ...], m:[int, ...],
|
|||
|
|
tol:float) -> int
|
|||
|
|
C++: static int FerrariSolve(double *c, double *r, int *m,
|
|||
|
|
double tol)
|
|||
|
|
|
|||
|
|
Algebraically extracts REAL roots of the quartic polynomial with
|
|||
|
|
REAL coefficients X^4 + c[0] X^3 + c[1] X^2 + c[2] X + c[3] and
|
|||
|
|
stores them (when they exist) and their respective multiplicities
|
|||
|
|
in the r and m arrays, based on Ferrari's method. Some numerical
|
|||
|
|
noise can be filtered by the use of a tolerance tol instead of
|
|||
|
|
equality with 0 (one can use, e.g., VTK_DBL_EPSILON). Returns the
|
|||
|
|
number of roots. Warning: it is the user's responsibility to pass
|
|||
|
|
a non-negative tol.
|
|||
|
|
TartagliaCardanSolve(c:[float, ...], r:[float, ...], m:[int, ...],
|
|||
|
|
tol:float) -> int
|
|||
|
|
C++: static int TartagliaCardanSolve(double *c, double *r, int *m,
|
|||
|
|
double tol)
|
|||
|
|
|
|||
|
|
Algebraically extracts REAL roots of the cubic polynomial with
|
|||
|
|
REAL coefficients X^3 + c[0] X^2 + c[1] X + c[2] and stores them
|
|||
|
|
(when they exist) and their respective multiplicities in the r
|
|||
|
|
and m arrays. Some numerical noise can be filtered by the use of
|
|||
|
|
a tolerance tol instead of equality with 0 (one can use, e.g.,
|
|||
|
|
VTK_DBL_EPSILON). The main differences with SolveCubic are that
|
|||
|
|
(1) the polynomial must have unit leading coefficient, (2)
|
|||
|
|
complex roots are discarded upfront, (3) non-simple roots are
|
|||
|
|
stored only once, along with their respective multiplicities, and
|
|||
|
|
(4) some numerical noise is filtered by the use of relative
|
|||
|
|
tolerance instead of equality with 0. Returns the number of
|
|||
|
|
roots. In memoriam Niccolo Tartaglia (1500 - 1559), unfairly
|
|||
|
|
forgotten.
|
|||
|
|
SolveCubic(c0:float, c1:float, c2:float, c3:float) -> Pointer
|
|||
|
|
C++: static double *SolveCubic(double c0, double c1, double c2,
|
|||
|
|
double c3)
|
|||
|
|
SolveCubic(c0:float, c1:float, c2:float, c3:float, r1:[float,
|
|||
|
|
...], r2:[float, ...], r3:[float, ...], num_roots:[int, ...])
|
|||
|
|
-> int
|
|||
|
|
C++: static int SolveCubic(double c0, double c1, double c2,
|
|||
|
|
double c3, double *r1, double *r2, double *r3, int *num_roots)
|
|||
|
|
|
|||
|
|
Solves a cubic equation c0*t^3 + c1*t^2 + c2*t + c3 = 0 when c0,
|
|||
|
|
c1, c2, and c3 are REAL. Solution is motivated by Numerical
|
|||
|
|
Recipes In C 2nd Ed. Return array contains number of (real)
|
|||
|
|
roots (counting multiple roots as one) followed by roots
|
|||
|
|
themselves. The value in roots[4] is a integer giving further
|
|||
|
|
information about the roots (see return codes for int
|
|||
|
|
SolveCubic() ).
|
|||
|
|
SolveQuadratic(c0:float, c1:float, c2:float) -> Pointer
|
|||
|
|
C++: static double *SolveQuadratic(double c0, double c1,
|
|||
|
|
double c2)
|
|||
|
|
SolveQuadratic(c0:float, c1:float, c2:float, r1:[float, ...],
|
|||
|
|
r2:[float, ...], num_roots:[int, ...]) -> int
|
|||
|
|
C++: static int SolveQuadratic(double c0, double c1, double c2,
|
|||
|
|
double *r1, double *r2, int *num_roots)
|
|||
|
|
SolveQuadratic(c:[float, ...], r:[float, ...], m:[int, ...])
|
|||
|
|
-> int
|
|||
|
|
C++: static int SolveQuadratic(double *c, double *r, int *m)
|
|||
|
|
|
|||
|
|
Solves a quadratic equation c0*t^2 + c1*t + c2 = 0 when c0, c1,
|
|||
|
|
and c2 are REAL. Solution is motivated by Numerical Recipes In C
|
|||
|
|
2nd Ed. Return array contains number of (real) roots (counting
|
|||
|
|
multiple roots as one) followed by roots themselves. Note that
|
|||
|
|
roots[3] contains a return code further describing solution - see
|
|||
|
|
documentation for SolveCubic() for meaning of return codes.
|
|||
|
|
SolveLinear(c0:float, c1:float) -> Pointer
|
|||
|
|
C++: static double *SolveLinear(double c0, double c1)
|
|||
|
|
SolveLinear(c0:float, c1:float, r1:[float, ...], num_roots:[int,
|
|||
|
|
...]) -> int
|
|||
|
|
C++: static int SolveLinear(double c0, double c1, double *r1,
|
|||
|
|
int *num_roots)
|
|||
|
|
|
|||
|
|
Solves a linear equation c0*t + c1 = 0 when c0 and c1 are REAL.
|
|||
|
|
Solution is motivated by Numerical Recipes In C 2nd Ed. Return
|
|||
|
|
array contains number of roots followed by roots themselves.
|
|||
|
|
SetDivisionTolerance(tol:float) -> None
|
|||
|
|
C++: static void SetDivisionTolerance(double tol)
|
|||
|
|
|
|||
|
|
Set/get the tolerance used when performing polynomial Euclidean
|
|||
|
|
division to find polynomial roots. This tolerance is used to
|
|||
|
|
decide whether the coefficient(s) of a polynomial remainder are
|
|||
|
|
close enough to zero to be neglected.
|
|||
|
|
GetDivisionTolerance() -> float
|
|||
|
|
C++: static double GetDivisionTolerance()
|
|||
|
|
|
|||
|
|
vtkQuaternionInterpolator InterpolateQuaternion AddQuaternion GetNumberOfQuaternions GetMinimumT GetMaximumT GetSearchMethod GetInterpolationTypeMaxValue GetInterpolationTypeMinValue GetInterpolationType RemoveQuaternion SetSearchMethod SetInterpolationTypeToSpline SetInterpolationTypeToLinear SetInterpolationType INTERPOLATION_TYPE_LINEAR INTERPOLATION_TYPE_SPLINE BinarySearch LinearSearch MaxEnum search_method interpolation_type minimum_t read-only, Calls GetMinimumT
|
|||
|
|
maximum_t read-only, Calls GetMaximumT
|
|||
|
|
number_of_quaternions @dW &vtkQuaterniond @dP *d @dW vtkQuaterniond vtkQuaternionInterpolator.vtkQuaternionInterpolationSearchMethod vtkQuaternionInterpolationSearchMethod vtkQuaternionInterpolator - interpolate a quaternion
|
|||
|
|
|
|||
|
|
Superclass: vtkObject
|
|||
|
|
|
|||
|
|
This class is used to interpolate a series of quaternions
|
|||
|
|
representing the rotations of a 3D object. The interpolation may be
|
|||
|
|
linear in form (using spherical linear interpolation SLERP), or via
|
|||
|
|
spline interpolation (using SQUAD). In either case the interpolation
|
|||
|
|
is specialized to quaternions since the interpolation occurs on the
|
|||
|
|
surface of the unit quaternion sphere.
|
|||
|
|
|
|||
|
|
To use this class, specify at least two pairs of (t,q[4]) with the
|
|||
|
|
AddQuaternion() method. Next interpolate the tuples with the
|
|||
|
|
InterpolateQuaternion(t,q[4]) method, where "t" must be in the range
|
|||
|
|
of (t_min,t_max) parameter values specified by the AddQuaternion()
|
|||
|
|
method (t is clamped otherwise), and q[4] is filled in by the method.
|
|||
|
|
|
|||
|
|
There are several important background references. Ken Shoemake
|
|||
|
|
described the practical application of quaternions for the
|
|||
|
|
interpolation of rotation (K. Shoemake, "Animating rotation with quaternion
|
|||
|
|
curves", Computer Graphics (Siggraph '85) 19(3):245--254, 1985).
|
|||
|
|
Another fine reference (available on-line) is E. B. Dam, M. Koch, and
|
|||
|
|
M. Lillholm, Technical Report DIKU-TR-98/5, Dept. of Computer
|
|||
|
|
Science, University of Copenhagen, Denmark.
|
|||
|
|
|
|||
|
|
@warning
|
|||
|
|
Note that for two or less quaternions, Slerp (linear) interpolation
|
|||
|
|
is performed even if spline interpolation is requested. Also, the
|
|||
|
|
tangents to the first and last segments of spline interpolation are
|
|||
|
|
(arbitrarily) defined by repeating the first and last quaternions.
|
|||
|
|
|
|||
|
|
@warning
|
|||
|
|
There are several methods particular to quaternions (norms, products,
|
|||
|
|
etc.) implemented interior to this class. These may be moved to a
|
|||
|
|
separate quaternion class at some point.
|
|||
|
|
|
|||
|
|
@sa
|
|||
|
|
vtkQuaternion
|
|||
|
|
|
|||
|
|
vtkmodules.vtkCommonMath.vtkQuaternionInterpolator read-write, Calls GetSearchMethod/SetSearchMethod
|
|||
|
|
read-write, Calls GetInterpolationType/SetInterpolationType
|
|||
|
|
read-only, Calls GetNumberOfQuaternions
|
|||
|
|
SafeDownCast(o:vtkObjectBase) -> vtkQuaternionInterpolator
|
|||
|
|
C++: static vtkQuaternionInterpolator *SafeDownCast(
|
|||
|
|
vtkObjectBase *o)
|
|||
|
|
|
|||
|
|
NewInstance(self) -> vtkQuaternionInterpolator
|
|||
|
|
C++: vtkQuaternionInterpolator *NewInstance()
|
|||
|
|
|
|||
|
|
GetNumberOfQuaternions(self) -> int
|
|||
|
|
C++: int GetNumberOfQuaternions()
|
|||
|
|
|
|||
|
|
Return the number of quaternions in the list of quaternions to be
|
|||
|
|
interpolated.
|
|||
|
|
GetMinimumT(self) -> float
|
|||
|
|
C++: double GetMinimumT()
|
|||
|
|
|
|||
|
|
Obtain some information about the interpolation range. The
|
|||
|
|
numbers returned (corresponding to parameter t, usually thought
|
|||
|
|
of as time) are undefined if the list of transforms is empty.
|
|||
|
|
This is a convenience method for interpolation.
|
|||
|
|
GetMaximumT(self) -> float
|
|||
|
|
C++: double GetMaximumT()
|
|||
|
|
|
|||
|
|
Initialize(self) -> None
|
|||
|
|
C++: void Initialize()
|
|||
|
|
|
|||
|
|
Reset the class so that it contains no data; i.e., the array of
|
|||
|
|
(t,q[4]) information is discarded.
|
|||
|
|
AddQuaternion(self, t:float, q:vtkQuaterniond) -> None
|
|||
|
|
C++: void AddQuaternion(double t, const vtkQuaterniond &q)
|
|||
|
|
AddQuaternion(self, t:float, q:[float, float, float, float])
|
|||
|
|
-> None
|
|||
|
|
C++: void AddQuaternion(double t, double q[4])
|
|||
|
|
|
|||
|
|
Add another quaternion to the list of quaternions to be
|
|||
|
|
interpolated. Note that using the same time t value more than
|
|||
|
|
once replaces the previous quaternion at t. At least one
|
|||
|
|
quaternions must be added to define an interpolation functions.
|
|||
|
|
RemoveQuaternion(self, t:float) -> None
|
|||
|
|
C++: void RemoveQuaternion(double t)
|
|||
|
|
|
|||
|
|
Delete the quaternion at a particular parameter t. If there is no
|
|||
|
|
quaternion tuple defined at t, then the method does nothing.
|
|||
|
|
InterpolateQuaternion(self, t:float, q:vtkQuaterniond) -> None
|
|||
|
|
C++: void InterpolateQuaternion(double t, vtkQuaterniond &q)
|
|||
|
|
InterpolateQuaternion(self, t:float, q:[float, float, float,
|
|||
|
|
float]) -> None
|
|||
|
|
C++: void InterpolateQuaternion(double t, double q[4])
|
|||
|
|
|
|||
|
|
Interpolate the list of quaternions and determine a new
|
|||
|
|
quaternion (i.e., fill in the quaternion provided). If t is
|
|||
|
|
outside the range of (min,max) values, then t is clamped to lie
|
|||
|
|
within the range.
|
|||
|
|
GetSearchMethod(self) -> int
|
|||
|
|
C++: int GetSearchMethod()
|
|||
|
|
|
|||
|
|
Set / Get the search type method. 0 is a binary search method
|
|||
|
|
O(log(N)) 1 is a linear search method O(N). Linear search method
|
|||
|
|
is kept because it can be faster than the dichotomous search
|
|||
|
|
method in specific cases
|
|||
|
|
SetSearchMethod(self, type:int) -> None
|
|||
|
|
C++: void SetSearchMethod(int type)
|
|||
|
|
|
|||
|
|
SetInterpolationType(self, _arg:int) -> None
|
|||
|
|
C++: virtual void SetInterpolationType(int _arg)
|
|||
|
|
|
|||
|
|
Specify which type of function to use for interpolation. By
|
|||
|
|
default (SetInterpolationTypeToSpline()), cubic spline
|
|||
|
|
interpolation using a modified Kochanek basis is employed.
|
|||
|
|
Otherwise, if SetInterpolationTypeToLinear() is invoked, linear
|
|||
|
|
spherical interpolation is used between each pair of quaternions.
|
|||
|
|
GetInterpolationTypeMinValue(self) -> int
|
|||
|
|
C++: virtual int GetInterpolationTypeMinValue()
|
|||
|
|
|
|||
|
|
GetInterpolationTypeMaxValue(self) -> int
|
|||
|
|
C++: virtual int GetInterpolationTypeMaxValue()
|
|||
|
|
|
|||
|
|
GetInterpolationType(self) -> int
|
|||
|
|
C++: virtual int GetInterpolationType()
|
|||
|
|
|
|||
|
|
SetInterpolationTypeToLinear(self) -> None
|
|||
|
|
C++: void SetInterpolationTypeToLinear()
|
|||
|
|
|
|||
|
|
SetInterpolationTypeToSpline(self) -> None
|
|||
|
|
C++: void SetInterpolationTypeToSpline()
|
|||
|
|
|
|||
|
|
vtkmodules.vtkCommonMath.vtkQuaternionInterpolator.vtkQuaternionInterpolationSearchMethod vtkRungeKutta2 vtkRungeKutta2 - Integrate an initial value problem using 2nd order
|
|||
|
|
Runge-Kutta method.
|
|||
|
|
|
|||
|
|
Superclass: vtkInitialValueProblemSolver
|
|||
|
|
|
|||
|
|
This is a concrete sub-class of vtkInitialValueProblemSolver. It uses
|
|||
|
|
a 2nd order Runge-Kutta method to obtain the values of a set of
|
|||
|
|
functions at the next time step.
|
|||
|
|
|
|||
|
|
@sa
|
|||
|
|
vtkInitialValueProblemSolver vtkRungeKutta4 vtkRungeKutta45
|
|||
|
|
vtkFunctionSet
|
|||
|
|
|
|||
|
|
vtkmodules.vtkCommonMath.vtkRungeKutta2 SafeDownCast(o:vtkObjectBase) -> vtkRungeKutta2
|
|||
|
|
C++: static vtkRungeKutta2 *SafeDownCast(vtkObjectBase *o)
|
|||
|
|
|
|||
|
|
NewInstance(self) -> vtkRungeKutta2
|
|||
|
|
C++: vtkRungeKutta2 *NewInstance()
|
|||
|
|
|
|||
|
|
ComputeNextStep(self, xprev:[float, ...], xnext:[float, ...],
|
|||
|
|
t:float, delT:float, maxError:float, error:float,
|
|||
|
|
userData:Pointer) -> int
|
|||
|
|
C++: int ComputeNextStep(double *xprev, double *xnext, double t,
|
|||
|
|
double &delT, double maxError, double &error, void *userData)
|
|||
|
|
override;
|
|||
|
|
ComputeNextStep(self, xprev:[float, ...], dxprev:[float, ...],
|
|||
|
|
xnext:[float, ...], t:float, delT:float, maxError:float,
|
|||
|
|
error:float, userData:Pointer) -> int
|
|||
|
|
C++: int ComputeNextStep(double *xprev, double *dxprev,
|
|||
|
|
double *xnext, double t, double &delT, double maxError,
|
|||
|
|
double &error, void *userData) override;
|
|||
|
|
ComputeNextStep(self, xprev:[float, ...], xnext:[float, ...],
|
|||
|
|
t:float, delT:float, delTActual:float, minStep:float,
|
|||
|
|
maxStep:float, maxError:float, error:float, userData:Pointer)
|
|||
|
|
-> int
|
|||
|
|
C++: int ComputeNextStep(double *xprev, double *xnext, double t,
|
|||
|
|
double &delT, double &delTActual, double minStep,
|
|||
|
|
double maxStep, double maxError, double &error,
|
|||
|
|
void *userData) override;
|
|||
|
|
ComputeNextStep(self, xprev:[float, ...], dxprev:[float, ...],
|
|||
|
|
xnext:[float, ...], t:float, delT:float, delTActual:float,
|
|||
|
|
minStep:float, maxStep:float, maxError:float, error:float,
|
|||
|
|
userData:Pointer) -> int
|
|||
|
|
C++: int ComputeNextStep(double *xprev, double *dxprev,
|
|||
|
|
double *xnext, double t, double &delT, double &delTActual,
|
|||
|
|
double minStep, double maxStep, double maxError,
|
|||
|
|
double &error, void *userData) override;
|
|||
|
|
ComputeNextStep(self, xprev:[float, ...], xnext:[float, ...],
|
|||
|
|
t:float, delT:float, maxError:float, error:float) -> int
|
|||
|
|
C++: virtual int ComputeNextStep(double *xprev, double *xnext,
|
|||
|
|
double t, double &delT, double maxError, double &error)
|
|||
|
|
|
|||
|
|
Given initial values, xprev , initial time, t and a requested
|
|||
|
|
time interval, delT calculate values of x at t+delT (xnext).
|
|||
|
|
delTActual is always equal to delT. Since this class can not
|
|||
|
|
provide an estimate for the error error is set to 0. maxStep,
|
|||
|
|
minStep and maxError are unused. This metho ...
|
|||
|
|
[Truncated]
|
|||
|
|
�äýÿÀâýÿèâýÿãýÿÀâýÿpäýÿvtkRungeKutta4 vtkRungeKutta4 - Integrate an initial value problem using 4th order
|
|||
|
|
Runge-Kutta method.
|
|||
|
|
|
|||
|
|
Superclass: vtkInitialValueProblemSolver
|
|||
|
|
|
|||
|
|
This is a concrete sub-class of vtkInitialValueProblemSolver. It uses
|
|||
|
|
a 4th order Runge-Kutta method to obtain the values of a set of
|
|||
|
|
functions at the next time step.
|
|||
|
|
|
|||
|
|
@sa
|
|||
|
|
vtkInitialValueProblemSolver vtkRungeKutta45 vtkRungeKutta2
|
|||
|
|
vtkFunctionSet
|
|||
|
|
|
|||
|
|
vtkmodules.vtkCommonMath.vtkRungeKutta4 SafeDownCast(o:vtkObjectBase) -> vtkRungeKutta4
|
|||
|
|
C++: static vtkRungeKutta4 *SafeDownCast(vtkObjectBase *o)
|
|||
|
|
|
|||
|
|
NewInstance(self) -> vtkRungeKutta4
|
|||
|
|
C++: vtkRungeKutta4 *NewInstance()
|
|||
|
|
|
|||
|
|
þÿ4þÿ\þÿ|þÿ4þÿäþÿvtkRungeKutta45 vtkRungeKutta45 - Integrate an initial value problem using 5th order
|
|||
|
|
Runge-Kutta method with adaptive stepsize control.
|
|||
|
|
|
|||
|
|
Superclass: vtkInitialValueProblemSolver
|
|||
|
|
|
|||
|
|
This is a concrete sub-class of vtkInitialValueProblemSolver. It uses
|
|||
|
|
a 5th order Runge-Kutta method with stepsize control to obtain the
|
|||
|
|
values of a set of functions at the next time step. The stepsize is
|
|||
|
|
adjusted by calculating an estimated error using an embedded 4th
|
|||
|
|
order Runge-Kutta formula: Press, W. H. et al., 1992, Numerical
|
|||
|
|
Recipes in Fortran, Second Edition, Cambridge University Press Cash,
|
|||
|
|
J.R. and Karp, A.H. 1990, ACM Transactions on Mathematical Software,
|
|||
|
|
vol 16, pp 201-222
|
|||
|
|
|
|||
|
|
@sa
|
|||
|
|
vtkInitialValueProblemSolver vtkRungeKutta4 vtkRungeKutta2
|
|||
|
|
vtkFunctionSet
|
|||
|
|
|
|||
|
|
vtkmodules.vtkCommonMath.vtkRungeKutta45 SafeDownCast(o:vtkObjectBase) -> vtkRungeKutta45
|
|||
|
|
C++: static vtkRungeKutta45 *SafeDownCast(vtkObjectBase *o)
|
|||
|
|
|
|||
|
|
NewInstance(self) -> vtkRungeKutta45
|
|||
|
|
C++: vtkRungeKutta45 *NewInstance()
|
|||
|
|
|
|||
|
|
ComputeNextStep(self, xprev:[float, ...], xnext:[float, ...],
|
|||
|
|
t:float, delT:float, maxError:float, error:float,
|
|||
|
|
userData:Pointer) -> int
|
|||
|
|
C++: int ComputeNextStep(double *xprev, double *xnext, double t,
|
|||
|
|
double &delT, double maxError, double &error, void *userData)
|
|||
|
|
override;
|
|||
|
|
ComputeNextStep(self, xprev:[float, ...], dxprev:[float, ...],
|
|||
|
|
xnext:[float, ...], t:float, delT:float, maxError:float,
|
|||
|
|
error:float, userData:Pointer) -> int
|
|||
|
|
C++: int ComputeNextStep(double *xprev, double *dxprev,
|
|||
|
|
double *xnext, double t, double &delT, double maxError,
|
|||
|
|
double &error, void *userData) override;
|
|||
|
|
ComputeNextStep(self, xprev:[float, ...], xnext:[float, ...],
|
|||
|
|
t:float, delT:float, delTActual:float, minStep:float,
|
|||
|
|
maxStep:float, maxError:float, error:float, userData:Pointer)
|
|||
|
|
-> int
|
|||
|
|
C++: int ComputeNextStep(double *xprev, double *xnext, double t,
|
|||
|
|
double &delT, double &delTActual, double minStep,
|
|||
|
|
double maxStep, double maxError, double &error,
|
|||
|
|
void *userData) override;
|
|||
|
|
ComputeNextStep(self, xprev:[float, ...], dxprev:[float, ...],
|
|||
|
|
xnext:[float, ...], t:float, delT:float, delTActual:float,
|
|||
|
|
minStep:float, maxStep:float, maxError:float, estErr:float,
|
|||
|
|
userData:Pointer) -> int
|
|||
|
|
C++: int ComputeNextStep(double *xprev, double *dxprev,
|
|||
|
|
double *xnext, double t, double &delT, double &delTActual,
|
|||
|
|
double minStep, double maxStep, double maxError,
|
|||
|
|
double &estErr, void *userData) override;
|
|||
|
|
ComputeNextStep(self, xprev:[float, ...], xnext:[float, ...],
|
|||
|
|
t:float, delT:float, maxError:float, error:float) -> int
|
|||
|
|
C++: virtual int ComputeNextStep(double *xprev, double *xnext,
|
|||
|
|
double t, double &delT, double maxError, double &error)
|
|||
|
|
|
|||
|
|
Given initial values, xprev , initial time, t and a requested
|
|||
|
|
time interval, delT calculate values of x at t+delTActual
|
|||
|
|
(xnext). Possibly delTActual != delT. This may occur because this
|
|||
|
|
solver supports adaptive stepsize control. It tries to change to
|
|||
|
|
stepsize such that the (estimated) e ...
|
|||
|
|
[Truncated]
|
|||
|
|
0Fþÿ`DþÿˆDþÿ¨Dþÿ`DþÿFþÿvtkQuaternion GetW GetY GetZ GetX ToIdentity SquaredNorm Conjugate SetX SetY SetZ SetW Conjugated Inverse NormalizedWithAngleInDegrees Get GetRotationAngleAndAxis ToMatrix3x3 Normalize NormalizeWithAngleInDegrees Normalized ToUnitExp SetRotationAngleAndAxis Slerp ToUnitLog InnerPoint FromMatrix3x3 @W vtkQuaterniond @W vtkQuaternionf @W vtkQuaternion_IfE w read-write, Calls GetW/SetW
|
|||
|
|
read-write, Calls GetX/SetX
|
|||
|
|
read-write, Calls GetY/SetY
|
|||
|
|
read-write, Calls GetZ/SetZ
|
|||
|
|
@W vtkQuaternion_IdE vtkQuaterniond - Double quaternion type.
|
|||
|
|
|
|||
|
|
Superclass: vtkTuple[T,4]
|
|||
|
|
|
|||
|
|
This class is uses vtkQuaternion with double type data. For further
|
|||
|
|
description, seethe templated class vtkQuaternion.
|
|||
|
|
@sa vtkQuaternionf vtkQuaternion
|
|||
|
|
|
|||
|
|
|
|||
|
|
Provided Types:
|
|||
|
|
|
|||
|
|
vtkQuaternion[float64] => vtkQuaternion<double>
|
|||
|
|
vtkQuaternion[float32] => vtkQuaternion<float>
|
|||
|
|
vtkCommonMathPython.vtkQuaternion vtkQuaternion() -> vtkQuaternion
|
|||
|
|
C++: vtkQuaternion()
|
|||
|
|
vtkQuaternion(scalar:float) -> vtkQuaternion
|
|||
|
|
C++: explicit vtkQuaternion(const double &scalar)
|
|||
|
|
vtkQuaternion(init:(float, float, float, float)) -> vtkQuaternion
|
|||
|
|
C++: explicit vtkQuaternion(const double *init)
|
|||
|
|
vtkQuaternion(w:float, x:float, y:float, z:float) -> vtkQuaternion
|
|||
|
|
C++: vtkQuaternion(const double &w, const double &x, const double &y,
|
|||
|
|
const double &z)
|
|||
|
|
vtkQuaternion(__a:vtkQuaternion_IdE) -> vtkQuaternion
|
|||
|
|
C++: vtkQuaternion(const &vtkQuaternion<double>)
|
|||
|
|
|
|||
|
|
vtkQuaternion- templated base type for storage of quaternions.
|
|||
|
|
|
|||
|
|
Superclass: vtkTuple[float64,4]
|
|||
|
|
|
|||
|
|
This class is a templated data type for storing and manipulating
|
|||
|
|
quaternions. The quaternions have the form [w, x, y, z]. Given a
|
|||
|
|
rotation of angle theta and axis v, the corresponding quaternion is
|
|||
|
|
[w, x, y, z] = [cos(theta/2), v*sin(theta/2)]
|
|||
|
|
|
|||
|
|
This class implements the Spherical Linear interpolation (SLERP) and
|
|||
|
|
the Spherical Spline Quaternion interpolation (SQUAD). It is advised
|
|||
|
|
to use the vtkQuaternionInterpolator when dealing with multiple
|
|||
|
|
quaternions and or interpolations.
|
|||
|
|
|
|||
|
|
@sa
|
|||
|
|
vtkQuaternionInterpolator
|
|||
|
|
|
|||
|
|
vtkQuaternion() -> vtkQuaternion
|
|||
|
|
C++: vtkQuaternion()
|
|||
|
|
vtkQuaternion(scalar:float) -> vtkQuaternion
|
|||
|
|
C++: explicit vtkQuaternion(const float &scalar)
|
|||
|
|
vtkQuaternion(init:(float, float, float, float)) -> vtkQuaternion
|
|||
|
|
C++: explicit vtkQuaternion(const float *init)
|
|||
|
|
vtkQuaternion(w:float, x:float, y:float, z:float) -> vtkQuaternion
|
|||
|
|
C++: vtkQuaternion(const float &w, const float &x, const float &y,
|
|||
|
|
const float &z)
|
|||
|
|
vtkQuaternion(__a:vtkQuaternion_IfE) -> vtkQuaternion
|
|||
|
|
C++: vtkQuaternion(const &vtkQuaternion<float>)
|
|||
|
|
|
|||
|
|
vtkQuaternion- templated base type for storage of quaternions.
|
|||
|
|
|
|||
|
|
Superclass: vtkTuple[float32,4]
|
|||
|
|
|
|||
|
|
This class is a templated data type for storing and manipulating
|
|||
|
|
quaternions. The quaternions have the form [w, x, y, z]. Given a
|
|||
|
|
rotation of angle theta and axis v, the corresponding quaternion is
|
|||
|
|
[w, x, y, z] = [cos(theta/2), v*sin(theta/2)]
|
|||
|
|
|
|||
|
|
This class implements the Spherical Linear interpolation (SLERP) and
|
|||
|
|
the Spherical Spline Quaternion interpolation (SQUAD). It is advised
|
|||
|
|
to use the vtkQuaternionInterpolator when dealing with multiple
|
|||
|
|
quaternions and or interpolations.
|
|||
|
|
|
|||
|
|
@sa
|
|||
|
|
vtkQuaternionInterpolator
|
|||
|
|
|
|||
|
|
vtkQuaternionf() -> vtkQuaternionf
|
|||
|
|
C++: vtkQuaternionf()
|
|||
|
|
vtkQuaternionf(w:float, x:float, y:float, z:float) -> vtkQuaternionf
|
|||
|
|
C++: explicit vtkQuaternionf(float w, float x, float y, float z)
|
|||
|
|
vtkQuaternionf(scalar:float) -> vtkQuaternionf
|
|||
|
|
C++: explicit vtkQuaternionf(float scalar)
|
|||
|
|
vtkQuaternionf(init:(float, float, float, float)) -> vtkQuaternionf
|
|||
|
|
C++: explicit vtkQuaternionf(const float *init)
|
|||
|
|
vtkQuaternionf(__a:vtkQuaternionf) -> vtkQuaternionf
|
|||
|
|
C++: vtkQuaternionf(const &vtkQuaternionf)
|
|||
|
|
|
|||
|
|
vtkQuaternionf - no description provided.
|
|||
|
|
|
|||
|
|
Superclass: vtkQuaternion[float32]
|
|||
|
|
|
|||
|
|
vtkQuaterniond() -> vtkQuaterniond
|
|||
|
|
C++: vtkQuaterniond()
|
|||
|
|
vtkQuaterniond(w:float, x:float, y:float, z:float) -> vtkQuaterniond
|
|||
|
|
C++: explicit vtkQuaterniond(double w, double x, double y, double z)
|
|||
|
|
vtkQuaterniond(scalar:float) -> vtkQuaterniond
|
|||
|
|
C++: explicit vtkQuaterniond(double scalar)
|
|||
|
|
vtkQuaterniond(init:(float, float, float, float)) -> vtkQuaterniond
|
|||
|
|
C++: explicit vtkQuaterniond(const double *init)
|
|||
|
|
vtkQuaterniond(__a:vtkQuaterniond) -> vtkQuaterniond
|
|||
|
|
C++: vtkQuaterniond(const &vtkQuaterniond)
|
|||
|
|
|
|||
|
|
vtkQuaterniond - no description provided.
|
|||
|
|
|
|||
|
|
Superclass: vtkQuaternion[float64]
|
|||
|
|
|
|||
|
|
vtkmodules.vtkCommonMath.vtkQuaterniond Identity(self) -> vtkQuaterniond
|
|||
|
|
C++: vtkQuaterniond Identity()
|
|||
|
|
|
|||
|
|
Return the identity quaternion. Note that the default constructor
|
|||
|
|
also creates an identity quaternion.
|
|||
|
|
Normalized(self) -> vtkQuaterniond
|
|||
|
|
C++: vtkQuaterniond Normalized()
|
|||
|
|
|
|||
|
|
Return the normalized form of this quaternion.
|
|||
|
|
Conjugated(self) -> vtkQuaterniond
|
|||
|
|
C++: vtkQuaterniond Conjugated()
|
|||
|
|
|
|||
|
|
Return the conjugate form of this quaternion.
|
|||
|
|
Inverse(self) -> vtkQuaterniond
|
|||
|
|
C++: vtkQuaterniond Inverse()
|
|||
|
|
|
|||
|
|
Return the inverted form of this quaternion.
|
|||
|
|
UnitLog(self) -> vtkQuaterniond
|
|||
|
|
C++: vtkQuaterniond UnitLog()
|
|||
|
|
|
|||
|
|
Return the unit log version of this quaternion. The unit log
|
|||
|
|
quaternion is defined by: [w, x, y, z] = [0.0, v*theta].
|
|||
|
|
UnitExp(self) -> vtkQuaterniond
|
|||
|
|
C++: vtkQuaterniond UnitExp()
|
|||
|
|
|
|||
|
|
Return the unit exponential version of this quaternion. The unit
|
|||
|
|
exponential quaternion is defined by: [w, x, y, z] =
|
|||
|
|
[cos(theta), v*sin(theta)].
|
|||
|
|
NormalizedWithAngleInDegrees(self) -> vtkQuaterniond
|
|||
|
|
C++: vtkQuaterniond NormalizedWithAngleInDegrees()
|
|||
|
|
|
|||
|
|
Returns a quaternion normalized and transformed so its angle is
|
|||
|
|
in degrees and its axis normalized.
|
|||
|
|
Slerp(self, t:float, q:vtkQuaterniond) -> vtkQuaterniond
|
|||
|
|
C++: vtkQuaterniond Slerp(double t, const vtkQuaterniond &q)
|
|||
|
|
|
|||
|
|
InnerPoint(self, q1:vtkQuaterniond, q2:vtkQuaterniond)
|
|||
|
|
-> vtkQuaterniond
|
|||
|
|
C++: vtkQuaterniond InnerPoint(const vtkQuaterniond &q1,
|
|||
|
|
const vtkQuaterniond &q2)
|
|||
|
|
|
|||
|
|
vtkmodules.vtkCommonMath.vtkQuaternionf Identity(self) -> vtkQuaternionf
|
|||
|
|
C++: vtkQuaternionf Identity()
|
|||
|
|
|
|||
|
|
Return the identity quaternion. Note that the default constructor
|
|||
|
|
also creates an identity quaternion.
|
|||
|
|
Normalized(self) -> vtkQuaternionf
|
|||
|
|
C++: vtkQuaternionf Normalized()
|
|||
|
|
|
|||
|
|
Return the normalized form of this quaternion.
|
|||
|
|
Conjugated(self) -> vtkQuaternionf
|
|||
|
|
C++: vtkQuaternionf Conjugated()
|
|||
|
|
|
|||
|
|
Return the conjugate form of this quaternion.
|
|||
|
|
Inverse(self) -> vtkQuaternionf
|
|||
|
|
C++: vtkQuaternionf Inverse()
|
|||
|
|
|
|||
|
|
Return the inverted form of this quaternion.
|
|||
|
|
UnitLog(self) -> vtkQuaternionf
|
|||
|
|
C++: vtkQuaternionf UnitLog()
|
|||
|
|
|
|||
|
|
Return the unit log version of this quaternion. The unit log
|
|||
|
|
quaternion is defined by: [w, x, y, z] = [0.0, v*theta].
|
|||
|
|
UnitExp(self) -> vtkQuaternionf
|
|||
|
|
C++: vtkQuaternionf UnitExp()
|
|||
|
|
|
|||
|
|
Return the unit exponential version of this quaternion. The unit
|
|||
|
|
exponential quaternion is defined by: [w, x, y, z] =
|
|||
|
|
[cos(theta), v*sin(theta)].
|
|||
|
|
NormalizedWithAngleInDegrees(self) -> vtkQuaternionf
|
|||
|
|
C++: vtkQuaternionf NormalizedWithAngleInDegrees()
|
|||
|
|
|
|||
|
|
Returns a quaternion normalized and transformed so its angle is
|
|||
|
|
in degrees and its axis normalized.
|
|||
|
|
Slerp(self, t:float, q:vtkQuaternionf) -> vtkQuaternionf
|
|||
|
|
C++: vtkQuaternionf Slerp(float t, const vtkQuaternionf &q)
|
|||
|
|
|
|||
|
|
InnerPoint(self, q1:vtkQuaternionf, q2:vtkQuaternionf)
|
|||
|
|
-> vtkQuaternionf
|
|||
|
|
C++: vtkQuaternionf InnerPoint(const vtkQuaternionf &q1,
|
|||
|
|
const vtkQuaternionf &q2)
|
|||
|
|
|
|||
|
|
vtkmodules.vtkCommonMath.vtkQuaternion_IfE SquaredNorm(self) -> float
|
|||
|
|
C++: float SquaredNorm()
|
|||
|
|
|
|||
|
|
Get the squared norm of the quaternion.
|
|||
|
|
Norm(self) -> float
|
|||
|
|
C++: float Norm()
|
|||
|
|
|
|||
|
|
Get the norm of the quaternion, i.e. its length.
|
|||
|
|
ToIdentity(self) -> None
|
|||
|
|
C++: void ToIdentity()
|
|||
|
|
|
|||
|
|
Set the quaternion to identity in place.
|
|||
|
|
Identity() -> vtkQuaternion_IfE
|
|||
|
|
C++: static vtkQuaternion<float> Identity()
|
|||
|
|
|
|||
|
|
Return the identity quaternion. Note that the default constructor
|
|||
|
|
also creates an identity quaternion.
|
|||
|
|
Normalize(self) -> float
|
|||
|
|
C++: float Normalize()
|
|||
|
|
|
|||
|
|
Normalize the quaternion in place. Return the norm of the
|
|||
|
|
quaternion.
|
|||
|
|
Normalized(self) -> vtkQuaternion_IfE
|
|||
|
|
C++: vtkQuaternion<float> Normalized()
|
|||
|
|
|
|||
|
|
Return the normalized form of this quaternion.
|
|||
|
|
Conjugate(self) -> None
|
|||
|
|
C++: void Conjugate()
|
|||
|
|
|
|||
|
|
Conjugate the quaternion in place.
|
|||
|
|
Conjugated(self) -> vtkQuaternion_IfE
|
|||
|
|
C++: vtkQuaternion<float> Conjugated()
|
|||
|
|
|
|||
|
|
Return the conjugate form of this quaternion.
|
|||
|
|
Invert(self) -> None
|
|||
|
|
C++: void Invert()
|
|||
|
|
|
|||
|
|
Invert the quaternion in place. This is equivalent to conjugate
|
|||
|
|
the quaternion and then divide it by its squared norm.
|
|||
|
|
Inverse(self) -> vtkQuaternion_IfE
|
|||
|
|
C++: vtkQuaternion<float> Inverse()
|
|||
|
|
|
|||
|
|
Return the inverted form of this quaternion.
|
|||
|
|
ToUnitLog(self) -> None
|
|||
|
|
C++: void ToUnitLog()
|
|||
|
|
|
|||
|
|
Convert this quaternion to a unit log quaternion. The unit log
|
|||
|
|
quaternion is defined by: [w, x, y, z] = [0.0, v*theta].
|
|||
|
|
UnitLog(self) -> vtkQuaternion_IfE
|
|||
|
|
C++: vtkQuaternion<float> UnitLog()
|
|||
|
|
|
|||
|
|
Return the unit log version of this quaternion. The unit log
|
|||
|
|
quaternion is defined by: [w, x, y, z] = [0.0, v*theta].
|
|||
|
|
ToUnitExp(self) -> None
|
|||
|
|
C++: void ToUnitExp()
|
|||
|
|
|
|||
|
|
Convert this quaternion to a unit exponential quaternion. The
|
|||
|
|
unit exponential quaternion is defined by: [w, x, y, z] =
|
|||
|
|
[cos(theta), v*sin(theta)].
|
|||
|
|
UnitExp(self) -> vtkQuaternion_IfE
|
|||
|
|
C++: vtkQuaternion<float> UnitExp()
|
|||
|
|
|
|||
|
|
Return the unit exponential version of this quaternion. The unit
|
|||
|
|
exponential quaternion is defined by: [w, x, y, z] =
|
|||
|
|
[cos(theta), v*sin(theta)].
|
|||
|
|
NormalizeWithAngleInDegrees(self) -> None
|
|||
|
|
C++: void NormalizeWithAngleInDegrees()
|
|||
|
|
|
|||
|
|
Normalize a quaternion in place and transform it to so its angle
|
|||
|
|
is in degrees and its axis normalized.
|
|||
|
|
NormalizedWithAngleInDegrees(self) -> vtkQuaternion_IfE
|
|||
|
|
C++: vtkQuaternion<float> NormalizedWithAngleInDegrees()
|
|||
|
|
|
|||
|
|
Returns a quaternion normalized and transformed so its angle is
|
|||
|
|
in degrees and its axis normalized.
|
|||
|
|
Set(self, w:float, x:float, y:float, z:float) -> None
|
|||
|
|
C++: void Set(const float &w, const float &x, const float &y,
|
|||
|
|
const float &z)
|
|||
|
|
Set(self, quat:[float, float, float, float]) -> None
|
|||
|
|
C++: void Set(float quat[4])
|
|||
|
|
|
|||
|
|
Set/Get the w, x, y and z components of the quaternion.
|
|||
|
|
Get(self, quat:[float, float, float, float]) -> None
|
|||
|
|
C++: void Get(float quat[4])
|
|||
|
|
|
|||
|
|
SetW(self, w:float) -> None
|
|||
|
|
C++: void SetW(const float &w)
|
|||
|
|
|
|||
|
|
Set/Get the w component of the quaternion, i.e. element 0.
|
|||
|
|
GetW(self) -> float
|
|||
|
|
C++: const float &GetW()
|
|||
|
|
|
|||
|
|
SetX(self, x:float) -> None
|
|||
|
|
C++: void SetX(const float &x)
|
|||
|
|
|
|||
|
|
Set/Get the x component of the quaternion, i.e. element 1.
|
|||
|
|
GetX(self) -> float
|
|||
|
|
C++: const float &GetX()
|
|||
|
|
|
|||
|
|
SetY(self, y:float) -> None
|
|||
|
|
C++: void SetY(const float &y)
|
|||
|
|
|
|||
|
|
Set/Get the y component of the quaternion, i.e. element 2.
|
|||
|
|
GetY(self) -> float
|
|||
|
|
C++: const float &GetY()
|
|||
|
|
|
|||
|
|
SetZ(self, z:float) -> None
|
|||
|
|
C++: void SetZ(const float &z)
|
|||
|
|
|
|||
|
|
Set/Get the y component of the quaternion, i.e. element 3.
|
|||
|
|
GetZ(self) -> float
|
|||
|
|
C++: const float &GetZ()
|
|||
|
|
|
|||
|
|
GetRotationAngleAndAxis(self, axis:[float, float, float]) -> float
|
|||
|
|
C++: float GetRotationAngleAndAxis(float axis[3])
|
|||
|
|
|
|||
|
|
Set/Get the angle (in radians) and the axis corresponding to the
|
|||
|
|
axis-angle rotation of this quaternion.
|
|||
|
|
SetRotationAngleAndAxis(self, angle:float, axis:[float, float,
|
|||
|
|
float]) -> None
|
|||
|
|
C++: void SetRotationAngleAndAxis(float angle, float axis[3])
|
|||
|
|
SetRotationAngleAndAxis(self, angle:float, x:float, y:float,
|
|||
|
|
z:float) -> None
|
|||
|
|
C++: void SetRotationAngleAndAxis(const float &angle,
|
|||
|
|
const float &x, const float &y, const float &z)
|
|||
|
|
|
|||
|
|
ToMatrix3x3(self, A:[[float, float, float], [float, float, float],
|
|||
|
|
[float, float, float]]) -> None
|
|||
|
|
C++: void ToMatrix3x3(float A[3][3])
|
|||
|
|
|
|||
|
|
Convert a quaternion to a 3x3 rotation matrix. The quaternion
|
|||
|
|
does not have to be normalized beforehand.
|
|||
|
|
@sa FromMatrix3x3()
|
|||
|
|
FromMatrix3x3(self, A:((float, float, float), (float, float,
|
|||
|
|
float), (float, float, float))) -> None
|
|||
|
|
C++: void FromMatrix3x3(const float A[3][3])
|
|||
|
|
|
|||
|
|
Convert a 3x3 matrix into a quaternion. This will provide the
|
|||
|
|
best possible answer even if the matrix is not a pure rotation
|
|||
|
|
matrix. The method used is that of B.K.P. Horn.
|
|||
|
|
@sa ToMatrix3x3()
|
|||
|
|
Slerp(self, t:float, q:vtkQuaternion_IfE) -> vtkQuaternion_IfE
|
|||
|
|
C++: vtkQuaternion<float> Slerp(float t,
|
|||
|
|
const vtkQuaternion<float> &q)
|
|||
|
|
|
|||
|
|
Interpolate quaternions using spherical linear interpolation
|
|||
|
|
between this quaternion and q1 to produce the output. The
|
|||
|
|
parametric coordinate t belongs to [0,1] and lies between
|
|||
|
|
(this,q1).
|
|||
|
|
@sa vtkQuaternionInterpolator
|
|||
|
|
InnerPoint(self, q1:vtkQuaternion_IfE, q2:vtkQuaternion_IfE)
|
|||
|
|
-> vtkQuaternion_IfE
|
|||
|
|
C++: vtkQuaternion<float> InnerPoint(
|
|||
|
|
const vtkQuaternion<float> &q1,
|
|||
|
|
const vtkQuaternion<float> &q2)
|
|||
|
|
|
|||
|
|
Interpolates between quaternions, using spherical quadrangle
|
|||
|
|
interpolation.
|
|||
|
|
@sa vtkQuaternionInterpolator
|
|||
|
|
vtkmodules.vtkCommonMath.vtkQuaternion_IdE SquaredNorm(self) -> float
|
|||
|
|
C++: double SquaredNorm()
|
|||
|
|
|
|||
|
|
Get the squared norm of the quaternion.
|
|||
|
|
Norm(self) -> float
|
|||
|
|
C++: double Norm()
|
|||
|
|
|
|||
|
|
Get the norm of the quaternion, i.e. its length.
|
|||
|
|
Identity() -> vtkQuaternion_IdE
|
|||
|
|
C++: static vtkQuaternion<double> Identity()
|
|||
|
|
|
|||
|
|
Return the identity quaternion. Note that the default constructor
|
|||
|
|
also creates an identity quaternion.
|
|||
|
|
Normalize(self) -> float
|
|||
|
|
C++: double Normalize()
|
|||
|
|
|
|||
|
|
Normalize the quaternion in place. Return the norm of the
|
|||
|
|
quaternion.
|
|||
|
|
Normalized(self) -> vtkQuaternion_IdE
|
|||
|
|
C++: vtkQuaternion<double> Normalized()
|
|||
|
|
|
|||
|
|
Return the normalized form of this quaternion.
|
|||
|
|
Conjugated(self) -> vtkQuaternion_IdE
|
|||
|
|
C++: vtkQuaternion<double> Conjugated()
|
|||
|
|
|
|||
|
|
Return the conjugate form of this quaternion.
|
|||
|
|
Inverse(self) -> vtkQuaternion_IdE
|
|||
|
|
C++: vtkQuaternion<double> Inverse()
|
|||
|
|
|
|||
|
|
Return the inverted form of this quaternion.
|
|||
|
|
UnitLog(self) -> vtkQuaternion_IdE
|
|||
|
|
C++: vtkQuaternion<double> UnitLog()
|
|||
|
|
|
|||
|
|
Return the unit log version of this quaternion. The unit log
|
|||
|
|
quaternion is defined by: [w, x, y, z] = [0.0, v*theta].
|
|||
|
|
UnitExp(self) -> vtkQuaternion_IdE
|
|||
|
|
C++: vtkQuaternion<double> UnitExp()
|
|||
|
|
|
|||
|
|
Return the unit exponential version of this quaternion. The unit
|
|||
|
|
exponential quaternion is defined by: [w, x, y, z] =
|
|||
|
|
[cos(theta), v*sin(theta)].
|
|||
|
|
NormalizedWithAngleInDegrees(self) -> vtkQuaternion_IdE
|
|||
|
|
C++: vtkQuaternion<double> NormalizedWithAngleInDegrees()
|
|||
|
|
|
|||
|
|
Returns a quaternion normalized and transformed so its angle is
|
|||
|
|
in degrees and its axis normalized.
|
|||
|
|
Set(self, w:float, x:float, y:float, z:float) -> None
|
|||
|
|
C++: void Set(const double &w, const double &x, const double &y,
|
|||
|
|
const double &z)
|
|||
|
|
Set(self, quat:[float, float, float, float]) -> None
|
|||
|
|
C++: void Set(double quat[4])
|
|||
|
|
|
|||
|
|
Set/Get the w, x, y and z components of the quaternion.
|
|||
|
|
Get(self, quat:[float, float, float, float]) -> None
|
|||
|
|
C++: void Get(double quat[4])
|
|||
|
|
|
|||
|
|
SetW(self, w:float) -> None
|
|||
|
|
C++: void SetW(const double &w)
|
|||
|
|
|
|||
|
|
Set/Get the w component of the quaternion, i.e. element 0.
|
|||
|
|
GetW(self) -> float
|
|||
|
|
C++: const double &GetW()
|
|||
|
|
|
|||
|
|
SetX(self, x:float) -> None
|
|||
|
|
C++: void SetX(const double &x)
|
|||
|
|
|
|||
|
|
Set/Get the x component of the quaternion, i.e. element 1.
|
|||
|
|
GetX(self) -> float
|
|||
|
|
C++: const double &GetX()
|
|||
|
|
|
|||
|
|
SetY(self, y:float) -> None
|
|||
|
|
C++: void SetY(const double &y)
|
|||
|
|
|
|||
|
|
Set/Get the y component of the quaternion, i.e. element 2.
|
|||
|
|
GetY(self) -> float
|
|||
|
|
C++: const double &GetY()
|
|||
|
|
|
|||
|
|
SetZ(self, z:float) -> None
|
|||
|
|
C++: void SetZ(const double &z)
|
|||
|
|
|
|||
|
|
Set/Get the y component of the quaternion, i.e. element 3.
|
|||
|
|
GetZ(self) -> float
|
|||
|
|
C++: const double &GetZ()
|
|||
|
|
|
|||
|
|
GetRotationAngleAndAxis(self, axis:[float, float, float]) -> float
|
|||
|
|
C++: double GetRotationAngleAndAxis(double axis[3])
|
|||
|
|
|
|||
|
|
Set/Get the angle (in radians) and the axis corresponding to the
|
|||
|
|
axis-angle rotation of this quaternion.
|
|||
|
|
SetRotationAngleAndAxis(self, angle:float, axis:[float, float,
|
|||
|
|
float]) -> None
|
|||
|
|
C++: void SetRotationAngleAndAxis(double angle, double axis[3])
|
|||
|
|
SetRotationAngleAndAxis(self, angle:float, x:float, y:float,
|
|||
|
|
z:float) -> None
|
|||
|
|
C++: void SetRotationAngleAndAxis(const double &angle,
|
|||
|
|
const double &x, const double &y, const double &z)
|
|||
|
|
|
|||
|
|
ToMatrix3x3(self, A:[[float, float, float], [float, float, float],
|
|||
|
|
[float, float, float]]) -> None
|
|||
|
|
C++: void ToMatrix3x3(double A[3][3])
|
|||
|
|
|
|||
|
|
Convert a quaternion to a 3x3 rotation matrix. The quaternion
|
|||
|
|
does not have to be normalized beforehand.
|
|||
|
|
@sa FromMatrix3x3()
|
|||
|
|
FromMatrix3x3(self, A:((float, float, float), (float, float,
|
|||
|
|
float), (float, float, float))) -> None
|
|||
|
|
C++: void FromMatrix3x3(const double A[3][3])
|
|||
|
|
|
|||
|
|
Convert a 3x3 matrix into a quaternion. This will provide the
|
|||
|
|
best possible answer even if the matrix is not a pure rotation
|
|||
|
|
matrix. The method used is that of B.K.P. Horn.
|
|||
|
|
@sa ToMatrix3x3()
|
|||
|
|
Slerp(self, t:float, q:vtkQuaternion_IdE) -> vtkQuaternion_IdE
|
|||
|
|
C++: vtkQuaternion<double> Slerp(double t,
|
|||
|
|
const vtkQuaternion<double> &q)
|
|||
|
|
|
|||
|
|
Interpolate quaternions using spherical linear interpolation
|
|||
|
|
between this quaternion and q1 to produce the output. The
|
|||
|
|
parametric coordinate t belongs to [0,1] and lies between
|
|||
|
|
(this,q1).
|
|||
|
|
@sa vtkQuaternionInterpolator
|
|||
|
|
InnerPoint(self, q1:vtkQuaternion_IdE, q2:vtkQuaternion_IdE)
|
|||
|
|
-> vtkQuaternion_IdE
|
|||
|
|
C++: vtkQuaternion<double> InnerPoint(
|
|||
|
|
const vtkQuaternion<double> &q1,
|
|||
|
|
const vtkQuaternion<double> &q2)
|
|||
|
|
|
|||
|
|
Interpolates between quaternions, using spherical quadrangle
|
|||
|
|
interpolation.
|
|||
|
|
@sa vtkQuaternionInterpolator
|
|||
|
|
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