// Created on: 2014-06-23 // Created by: Alexander Malyshev // Copyright (c) 2014-2014 OPEN CASCADE SAS // // This file is part of Open CASCADE Technology software library. // // This library is free software; you can redistribute it and/or modify it under // the terms of the GNU Lesser General Public License version 2.1 as published // by the Free Software Foundation, with special exception defined in the file // OCCT_LGPL_EXCEPTION.txt. Consult the file LICENSE_LGPL_21.txt included in OCCT // distribution for complete text of the license and disclaimer of any warranty. // // Alternatively, this file may be used under the terms of Open CASCADE // commercial license or contractual agreement #include #include #include #include #include #include //!F(cu, su, sv)=(C^{(x)}(cu)-S^{(x)}(su,sv))^{2}+ // (C^{(y)}(cu)-S^{(y)}(su,sv))^{2}+ // (C^{(z)}(cu)-S^{(z)}(su,sv))^{2} //======================================================================= //function : value //purpose : //======================================================================= void Extrema_GlobOptFuncCS::value(Standard_Real cu, Standard_Real su, Standard_Real sv, Standard_Real &F) { F = myC->Value(cu).SquareDistance(myS->Value(su, sv)); } //======================================================================= //function : gradient //purpose : //======================================================================= void Extrema_GlobOptFuncCS::gradient(Standard_Real cu, Standard_Real su, Standard_Real sv, math_Vector &G) { gp_Pnt CD0, SD0; gp_Vec CD1, SD1U, SD1V; myC->D1(cu, CD0, CD1); myS->D1(su, sv, SD0, SD1U, SD1V); G(1) = + (CD0.X() - SD0.X()) * CD1.X() + (CD0.Y() - SD0.Y()) * CD1.Y() + (CD0.Z() - SD0.Z()) * CD1.Z(); G(2) = - (CD0.X() - SD0.X()) * SD1U.X() - (CD0.Y() - SD0.Y()) * SD1U.Y() - (CD0.Z() - SD0.Z()) * SD1U.Z(); G(3) = - (CD0.X() - SD0.X()) * SD1V.X() - (CD0.Y() - SD0.Y()) * SD1V.Y() - (CD0.Z() - SD0.Z()) * SD1V.Z(); } //======================================================================= //function : hessian //purpose : //======================================================================= void Extrema_GlobOptFuncCS::hessian(Standard_Real cu, Standard_Real su, Standard_Real sv, math_Matrix &H) { gp_Pnt CD0, SD0; gp_Vec CD1, SD1U, SD1V, CD2, SD2UU, SD2UV, SD2VV; myC->D2(cu, CD0, CD1, CD2); myS->D2(su, sv, SD0, SD1U, SD1V, SD2UU, SD2VV, SD2UV); H(1,1) = + CD1.X() * CD1.X() + CD1.Y() * CD1.Y() + CD1.Z() * CD1.Z() + (CD0.X() - SD0.X()) * CD2.X() + (CD0.Y() - SD0.Y()) * CD2.Y() + (CD0.Z() - SD0.Z()) * CD2.Z(); H(1,2) = - CD1.X() * SD1U.X() - CD1.Y() * SD1U.Y() - CD1.Z() * SD1U.Z(); H(1,3) = - CD1.X() * SD1V.X() - CD1.Y() * SD1V.Y() - CD1.Z() * SD1V.Z(); H(2,1) = H(1,2); H(2,2) = + SD1U.X() * SD1U.X() + SD1U.Y() * SD1U.Y() + SD1U.Z() * SD1U.Z() - (CD0.X() - SD0.X()) * SD2UU.X() - (CD0.Y() - SD0.Y()) * SD2UU.Y() - (CD0.Z() - SD0.Z()) * SD2UU.Z(); H(2,3) = + SD1U.X() * SD1V.X() + SD1U.Y() * SD1V.Y() + SD1U.Z() * SD1V.Z() - (CD0.X() - SD0.X()) * SD2UV.X() - (CD0.Y() - SD0.Y()) * SD2UV.Y() - (CD0.Z() - SD0.Z()) * SD2UV.Z(); H(3,1) = H(1,3); H(3,2) = H(2,3); H(3,3) = + SD1V.X() * SD1V.X() + SD1V.Y() * SD1V.Y() + SD1V.Z() * SD1V.Z() - (CD0.X() - SD0.X()) * SD2VV.X() - (CD0.Y() - SD0.Y()) * SD2VV.Y() - (CD0.Z() - SD0.Z()) * SD2VV.Z(); } //======================================================================= //function : checkInputData //purpose : //======================================================================= Standard_Boolean Extrema_GlobOptFuncCS::checkInputData(const math_Vector &X, Standard_Real &cu, Standard_Real &su, Standard_Real &sv) { Standard_Integer aStartIndex = X.Lower(); cu = X(aStartIndex); su = X(aStartIndex + 1); sv = X(aStartIndex + 2); if (cu < myC->FirstParameter() || cu > myC->LastParameter() || su < myS->FirstUParameter() || su > myS->LastUParameter() || sv < myS->FirstVParameter() || sv > myS->LastVParameter()) { return Standard_False; } return Standard_True; } //======================================================================= //function : Extrema_GlobOptFuncCS //purpose : Constructor //======================================================================= Extrema_GlobOptFuncCS::Extrema_GlobOptFuncCS(const Adaptor3d_Curve *C, const Adaptor3d_Surface *S) : myC(C), myS(S) { } //======================================================================= //function : NbVariables //purpose : //======================================================================= Standard_Integer Extrema_GlobOptFuncCS::NbVariables() const { return 3; } //======================================================================= //function : Value //purpose : //======================================================================= Standard_Boolean Extrema_GlobOptFuncCS::Value(const math_Vector &X, Standard_Real &F) { Standard_Real cu, su, sv; if (!checkInputData(X, cu, su, sv)) return Standard_False; value(cu, su, sv, F); return Standard_True; } //======================================================================= //function : Gradient //purpose : //======================================================================= Standard_Boolean Extrema_GlobOptFuncCS::Gradient(const math_Vector &X, math_Vector &G) { Standard_Real cu, su, sv; if (!checkInputData(X, cu, su, sv)) return Standard_False; gradient(cu, su, sv, G); return Standard_True; } //======================================================================= //function : Values //purpose : //======================================================================= Standard_Boolean Extrema_GlobOptFuncCS::Values(const math_Vector &X, Standard_Real &F, math_Vector &G) { Standard_Real cu, su, sv; if (!checkInputData(X, cu, su, sv)) return Standard_False; value(cu, su, sv, F); gradient(cu, su, sv, G); return Standard_True; } //======================================================================= //function : Values //purpose : //======================================================================= Standard_Boolean Extrema_GlobOptFuncCS::Values(const math_Vector &X, Standard_Real &F, math_Vector &G, math_Matrix &H) { Standard_Real cu, su, sv; if (!checkInputData(X, cu, su, sv)) return Standard_False; value(cu, su, sv, F); gradient(cu, su, sv, G); hessian(cu, su, sv, H); return Standard_True; }