This class implements the Gauss LU decomposition (Crout algorithm) with partial pivoting (rows interchange) of a square matrix and the different possible derived calculation :
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#include <math_Gauss.hxx>
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| math_Gauss (const math_Matrix &A, const Standard_Real MinPivot=1.0e-20, const Handle< Message_ProgressIndicator > &aProgress=Handle< Message_ProgressIndicator >()) |
| Given an input n X n matrix A this constructor performs its LU decomposition with partial pivoting (interchange of rows). This LU decomposition is stored internally and may be used to do subsequent calculation. If the largest pivot found is less than MinPivot the matrix A is considered as singular. Exception NotSquare is raised if A is not a square matrix. More...
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Standard_Boolean | IsDone () const |
| Returns true if the computations are successful, otherwise returns false. More...
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void | Solve (const math_Vector &B, math_Vector &X) const |
| Given the input Vector B this routine returns the solution X of the set of linear equations A . X = B. Exception NotDone is raised if the decomposition of A was not done successfully. Exception DimensionError is raised if the range of B is not equal to the number of rows of A. More...
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void | Solve (math_Vector &B) const |
| Given the input Vector B this routine solves the set of linear equations A . X = B. B is replaced by the vector solution X. Exception NotDone is raised if the decomposition of A was not done successfully. Exception DimensionError is raised if the range of B is not equal to the number of rows of A. More...
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Standard_Real | Determinant () const |
| This routine returns the value of the determinant of the previously LU decomposed matrix A. Exception NotDone may be raised if the decomposition of A was not done successfully, zero is returned if the matrix A was considered as singular. More...
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void | Invert (math_Matrix &Inv) const |
| This routine outputs Inv the inverse of the previously LU decomposed matrix A. Exception DimensionError is raised if the ranges of B are not equal to the ranges of A. More...
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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...
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This class implements the Gauss LU decomposition (Crout algorithm) with partial pivoting (rows interchange) of a square matrix and the different possible derived calculation :
- solution of a set of linear equations.
- inverse of a matrix.
- determinant of a matrix.
◆ math_Gauss()
Given an input n X n matrix A this constructor performs its LU decomposition with partial pivoting (interchange of rows). This LU decomposition is stored internally and may be used to do subsequent calculation. If the largest pivot found is less than MinPivot the matrix A is considered as singular. Exception NotSquare is raised if A is not a square matrix.
◆ Determinant()
This routine returns the value of the determinant of the previously LU decomposed matrix A. Exception NotDone may be raised if the decomposition of A was not done successfully, zero is returned if the matrix A was considered as singular.
◆ Dump()
Prints on the stream o information on the current state of the object. Is used to redefine the operator <<.
◆ Invert()
This routine outputs Inv the inverse of the previously LU decomposed matrix A. Exception DimensionError is raised if the ranges of B are not equal to the ranges of A.
◆ IsDone()
Returns true if the computations are successful, otherwise returns false.
◆ Solve() [1/2]
Given the input Vector B this routine returns the solution X of the set of linear equations A . X = B. Exception NotDone is raised if the decomposition of A was not done successfully. Exception DimensionError is raised if the range of B is not equal to the number of rows of A.
◆ Solve() [2/2]
Given the input Vector B this routine solves the set of linear equations A . X = B. B is replaced by the vector solution X. Exception NotDone is raised if the decomposition of A was not done successfully. Exception DimensionError is raised if the range of B is not equal to the number of rows of A.
◆ Done
◆ Index
◆ LU
The documentation for this class was generated from the following file: