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add a DenseBase class for MAtrixBase and ArrayBase and more code factorisation

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This commit is contained in:
Gael Guennebaud
2009-12-04 23:17:14 +01:00
parent 80ebeae48d
commit 8e05f9cfa1
47 changed files with 1578 additions and 944 deletions
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7
Eigen/src/SVD/SVD.h
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@@ -190,7 +190,8 @@ SVD<MatrixType>& SVD<MatrixType>::compute(const MatrixType& matrix)
SingularValuesType& W = m_sigma;
bool flag;
int i,its,j,k,l,nm;
int i,its,j,k,nm;
int l=0;
Scalar anorm, c, f, g, h, s, scale, x, y, z;
bool convergence = true;
Scalar eps = precision<Scalar>();
@@ -205,7 +206,7 @@ SVD<MatrixType>& SVD<MatrixType>::compute(const MatrixType& matrix)
g = s = scale = 0.0;
if (i < m)
{
scale = A.col(i).end(m-i).cwise().abs().sum();
scale = A.col(i).end(m-i).cwiseAbs().sum();
if (scale != Scalar(0))
{
for (k=i; k<m; k++)
@@ -230,7 +231,7 @@ SVD<MatrixType>& SVD<MatrixType>::compute(const MatrixType& matrix)
g = s = scale = 0.0;
if (i+1 <= m && i+1 != n)
{
scale = A.row(i).end(n-l+1).cwise().abs().sum();
scale = A.row(i).end(n-l+1).cwiseAbs().sum();
if (scale != Scalar(0))
{
for (k=l-1; k<n; k++)