/usr/include/opencascade/math_GaussLeastSquare.hxx is in libopencascade-foundation-dev 6.5.0.dfsg-2build1.
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// Please do not edit this file; modify original file instead.
// The copyright and license terms as defined for the original file apply to
// this header file considered to be the "object code" form of the original source.
#ifndef _math_GaussLeastSquare_HeaderFile
#define _math_GaussLeastSquare_HeaderFile
#ifndef _Standard_HeaderFile
#include <Standard.hxx>
#endif
#ifndef _Standard_Macro_HeaderFile
#include <Standard_Macro.hxx>
#endif
#ifndef _Standard_Boolean_HeaderFile
#include <Standard_Boolean.hxx>
#endif
#ifndef _math_Matrix_HeaderFile
#include <math_Matrix.hxx>
#endif
#ifndef _math_IntegerVector_HeaderFile
#include <math_IntegerVector.hxx>
#endif
#ifndef _Standard_Real_HeaderFile
#include <Standard_Real.hxx>
#endif
#ifndef _Standard_OStream_HeaderFile
#include <Standard_OStream.hxx>
#endif
class StdFail_NotDone;
class Standard_DimensionError;
class math_Matrix;
class math_Vector;
//! This class implements the least square solution of a set of <br>
//! n linear equations of m unknowns (n >= m) using the gauss LU <br>
//! decomposition algorithm. <br>
//! This algorithm is more likely subject to numerical instability <br>
//! than math_SVD. <br>
class math_GaussLeastSquare {
public:
void* operator new(size_t,void* anAddress)
{
return anAddress;
}
void* operator new(size_t size)
{
return Standard::Allocate(size);
}
void operator delete(void *anAddress)
{
if (anAddress) Standard::Free((Standard_Address&)anAddress);
}
//! Given an input n X m matrix A with n >= m this constructor <br>
//! performs the LU decomposition with partial pivoting <br>
//! (interchange of rows) of the matrix AA = A.Transposed() * A; <br>
//! This LU decomposition is stored internally and may be used <br>
//! to do subsequent calculation. <br>
//! If the largest pivot found is less than MinPivot the matrix <A> <br>
//! is considered as singular. <br>
Standard_EXPORT math_GaussLeastSquare(const math_Matrix& A,const Standard_Real MinPivot = 1.0e-20);
//! Returns true if the computations are successful, otherwise returns false.e <br>
Standard_Boolean IsDone() const;
//! Given the input Vector <B> this routine solves the set <br>
//! of linear equations A . X = B. <br>
//! Exception NotDone is raised if the decomposition of A was <br>
//! not done successfully. <br>
//! Exception DimensionError is raised if the range of B Inv is <br>
//! not equal to the rowrange of A. <br>
//! Exception DimensionError is raised if the range of X Inv is <br>
//! not equal to the colrange of A. <br>
Standard_EXPORT void Solve(const math_Vector& B,math_Vector& X) const;
//! Prints on the stream o information on the current state <br>
//! of the object. <br>
//! Is used to redefine the operator <<. <br>
Standard_EXPORT void Dump(Standard_OStream& o) const;
protected:
Standard_Boolean Singular;
math_Matrix LU;
math_Matrix A2;
math_IntegerVector Index;
Standard_Real D;
private:
Standard_Boolean Done;
};
#include <math_GaussLeastSquare.lxx>
// other Inline functions and methods (like "C++: function call" methods)
#endif
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