Algorithme of Optimization used to make "FairCurve". More...
#include <FairCurve_Newton.hxx>
Inheritance diagram for FairCurve_Newton:
Public Member Functions | |
| FairCurve_Newton (const math_MultipleVarFunctionWithHessian &theFunction, const Standard_Real theSpatialTolerance=1.0e-7, const Standard_Real theCriteriumTolerance=1.0e-7, const Standard_Integer theNbIterations=40, const Standard_Real theConvexity=1.0e-6, const Standard_Boolean theWithSingularity=Standard_True) | |
| The tolerance required on the solution is given by Tolerance. Iteration are stopped if (!WithSingularity) and H(F(Xi)) is not definite positive (if the smaller eigenvalue of H < Convexity) or IsConverged() returns True for 2 successives Iterations. Warning: This constructor do not computation. More... | |
| virtual Standard_Boolean | IsConverged () const |
| This method is called at the end of each iteration to check the convergence : || Xi+1 - Xi || < SpatialTolerance/100 Or || Xi+1 - Xi || < SpatialTolerance and |F(Xi+1) - F(Xi)| < CriteriumTolerance * |F(xi)| It can be redefined in a sub-class to implement a specific test. More... | |
 Public Member Functions inherited from math_NewtonMinimum | |
| math_NewtonMinimum (const math_MultipleVarFunctionWithHessian &theFunction, const Standard_Real theTolerance=1.0e-7, const Standard_Integer theNbIterations=40, const Standard_Real theConvexity=1.0e-6, const Standard_Boolean theWithSingularity=Standard_True) | |
| The tolerance required on the solution is given by Tolerance. Iteration are stopped if (!WithSingularity) and H(F(Xi)) is not definite positive (if the smaller eigenvalue of H < Convexity) or IsConverged() returns True for 2 successives Iterations. Warning: This constructor does not perform computation. More... | |
| void | Perform (math_MultipleVarFunctionWithHessian &theFunction, const math_Vector &theStartingPoint) |
| Search the solution. More... | |
| void | Delete () const |
| Destructor alias. More... | |
| virtual | ~math_NewtonMinimum () |
| Standard_Boolean | IsDone () const |
| Tests if an error has occured. More... | |
| Standard_Boolean | IsConvex () const |
| Tests if the Function is convexe during optimization. More... | |
| const math_Vector & | Location () const |
| returns the location vector of the minimum. Exception NotDone is raised if an error has occured. More... | |
| void | Location (math_Vector &Loc) const |
| outputs the location vector of the minimum in Loc. Exception NotDone is raised if an error has occured. Exception DimensionError is raised if the range of Loc is not equal to the range of the StartingPoint. More... | |
| Standard_Real | Minimum () const |
| returns the value of the minimum. Exception NotDone is raised if the minimum was not found. More... | |
| const math_Vector & | Gradient () const |
| returns the gradient vector at the minimum. Exception NotDone is raised if an error has occured.the minimum was not found. More... | |
| void | Gradient (math_Vector &Grad) const |
| outputs the gradient vector at the minimum in Grad. Exception NotDone is raised if the minimum was not found. Exception DimensionError is raised if the range of Grad is not equal to the range of the StartingPoint. More... | |
| Standard_Integer | NbIterations () const |
| returns the number of iterations really done in the calculation of the minimum. The exception NotDone is raised if an error has occured. More... | |
| void | Dump (Standard_OStream &o) const |
| Prints on the stream o information on the current state of the object. Is used to redefine the operator <<. More... | |
Additional Inherited Members | |
| Protected Attributes inherited from math_NewtonMinimum | |
| math_Status | TheStatus |
| math_Vector | TheLocation |
| math_Vector | TheGradient |
| math_Vector | TheStep |
| math_Matrix | TheHessian |
| Standard_Real | PreviousMinimum |
| Standard_Real | TheMinimum |
| Standard_Real | MinEigenValue |
| Standard_Real | XTol |
| Standard_Real | CTol |
| Standard_Integer | nbiter |
| Standard_Boolean | NoConvexTreatement |
| Standard_Boolean | Convex |
Detailed Description
Algorithme of Optimization used to make "FairCurve".
Constructor & Destructor Documentation
| FairCurve_Newton::FairCurve_Newton | ( | const math_MultipleVarFunctionWithHessian & | theFunction, |
| const Standard_Real | theSpatialTolerance = 1.0e-7, |
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| const Standard_Real | theCriteriumTolerance = 1.0e-7, |
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| const Standard_Integer | theNbIterations = 40, |
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| const Standard_Real | theConvexity = 1.0e-6, |
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| const Standard_Boolean | theWithSingularity = Standard_True |
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| ) |
The tolerance required on the solution is given by Tolerance. Iteration are stopped if (!WithSingularity) and H(F(Xi)) is not definite positive (if the smaller eigenvalue of H < Convexity) or IsConverged() returns True for 2 successives Iterations. Warning: This constructor do not computation.
Member Function Documentation
|
virtual |
This method is called at the end of each iteration to check the convergence : || Xi+1 - Xi || < SpatialTolerance/100 Or || Xi+1 - Xi || < SpatialTolerance and |F(Xi+1) - F(Xi)| < CriteriumTolerance * |F(xi)| It can be redefined in a sub-class to implement a specific test.
Reimplemented from math_NewtonMinimum.
The documentation for this class was generated from the following file:
