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in all decs, make the compute() methods return *this

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(implements feature request #18)
This commit is contained in:
Benoit Jacob
2009-08-15 23:12:39 -04:00
parent 65fe5f76fd
commit ee982709d3
9 changed files with 40 additions and 23 deletions
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9
Eigen/src/SVD/SVD.h
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@@ -97,7 +97,7 @@ template<typename MatrixType> class SVD
return m_matV;
}
void compute(const MatrixType& matrix);
SVD& compute(const MatrixType& matrix);
template<typename UnitaryType, typename PositiveType>
void computeUnitaryPositive(UnitaryType *unitary, PositiveType *positive) const;
@@ -138,9 +138,11 @@ template<typename MatrixType> class SVD
/** Computes / recomputes the SVD decomposition A = U S V^* of \a matrix
*
* \note this code has been adapted from Numerical Recipes, third edition.
*
* \returns a reference to *this
*/
template<typename MatrixType>
void SVD<MatrixType>::compute(const MatrixType& matrix)
SVD<MatrixType>& SVD<MatrixType>::compute(const MatrixType& matrix)
{
const int m = matrix.rows();
const int n = matrix.cols();
@@ -157,7 +159,7 @@ void SVD<MatrixType>::compute(const MatrixType& matrix)
SingularValuesType& W = m_sigma;
bool flag;
int i,its,j,jj,k,l,nm;
int i,its,j,k,l,nm;
Scalar anorm, c, f, g, h, s, scale, x, y, z;
bool convergence = true;
Scalar eps = precision<Scalar>();
@@ -392,6 +394,7 @@ void SVD<MatrixType>::compute(const MatrixType& matrix)
m_matU = A.block(0,0,m,m);
m_isInitialized = true;
return *this;
}
/** \returns the solution of \f$ A x = b \f$ using the current SVD decomposition of A.