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the Index types change.

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As discussed on the list (too long to explain here).
This commit is contained in:
Benoit Jacob
2010-05-30 16:00:58 -04:00
parent faa3ff3be6
commit aaaade4b3d
158 changed files with 3137 additions and 2878 deletions
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47
Eigen/src/SVD/JacobiSVD.h
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@@ -1,7 +1,7 @@
// This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
// Copyright (C) 2009 Benoit Jacob <jacob.benoit.1@gmail.com>
// Copyright (C) 2009-2010 Benoit Jacob <jacob.benoit.1@gmail.com>
//
// Eigen is free software; you can redistribute it and/or
// modify it under the terms of the GNU Lesser General Public
@@ -63,6 +63,7 @@ template<typename MatrixType, unsigned int Options> class JacobiSVD
private:
typedef typename MatrixType::Scalar Scalar;
typedef typename NumTraits<typename MatrixType::Scalar>::Real RealScalar;
typedef typename MatrixType::Index Index;
enum {
ComputeU = (Options & SkipU) == 0,
ComputeV = (Options & SkipV) == 0,
@@ -107,7 +108,7 @@ template<typename MatrixType, unsigned int Options> class JacobiSVD
* according to the specified problem \a size.
* \sa JacobiSVD()
*/
JacobiSVD(int rows, int cols) : m_matrixU(rows, rows),
JacobiSVD(Index rows, Index cols) : m_matrixU(rows, rows),
m_matrixV(cols, cols),
m_singularValues(std::min(rows, cols)),
m_workMatrix(rows, cols),
@@ -119,7 +120,7 @@ template<typename MatrixType, unsigned int Options> class JacobiSVD
m_workMatrix(),
m_isInitialized(false)
{
const int minSize = std::min(matrix.rows(), matrix.cols());
const Index minSize = std::min(matrix.rows(), matrix.cols());
m_singularValues.resize(minSize);
m_workMatrix.resize(minSize, minSize);
compute(matrix);
@@ -164,7 +165,8 @@ template<typename MatrixType, unsigned int Options>
struct ei_svd_precondition_2x2_block_to_be_real<MatrixType, Options, false>
{
typedef JacobiSVD<MatrixType, Options> SVD;
static void run(typename SVD::WorkMatrixType&, JacobiSVD<MatrixType, Options>&, int, int) {}
typedef typename SVD::Index Index;
static void run(typename SVD::WorkMatrixType&, JacobiSVD<MatrixType, Options>&, Index, Index) {}
};
template<typename MatrixType, unsigned int Options>
@@ -173,8 +175,9 @@ struct ei_svd_precondition_2x2_block_to_be_real<MatrixType, Options, true>
typedef JacobiSVD<MatrixType, Options> SVD;
typedef typename MatrixType::Scalar Scalar;
typedef typename MatrixType::RealScalar RealScalar;
typedef typename SVD::Index Index;
enum { ComputeU = SVD::ComputeU, ComputeV = SVD::ComputeV };
static void run(typename SVD::WorkMatrixType& work_matrix, JacobiSVD<MatrixType, Options>& svd, int p, int q)
static void run(typename SVD::WorkMatrixType& work_matrix, JacobiSVD<MatrixType, Options>& svd, Index p, Index q)
{
Scalar z;
PlanarRotation<Scalar> rot;
@@ -210,8 +213,8 @@ struct ei_svd_precondition_2x2_block_to_be_real<MatrixType, Options, true>
}
};
template<typename MatrixType, typename RealScalar>
void ei_real_2x2_jacobi_svd(const MatrixType& matrix, int p, int q,
template<typename MatrixType, typename RealScalar, typename Index>
void ei_real_2x2_jacobi_svd(const MatrixType& matrix, Index p, Index q,
PlanarRotation<RealScalar> *j_left,
PlanarRotation<RealScalar> *j_right)
{
@@ -250,12 +253,13 @@ struct ei_svd_precondition_if_more_rows_than_cols<MatrixType, Options, true>
typedef JacobiSVD<MatrixType, Options> SVD;
typedef typename MatrixType::Scalar Scalar;
typedef typename MatrixType::RealScalar RealScalar;
typedef typename MatrixType::Index Index;
enum { ComputeU = SVD::ComputeU, ComputeV = SVD::ComputeV };
static bool run(const MatrixType& matrix, typename SVD::WorkMatrixType& work_matrix, SVD& svd)
{
int rows = matrix.rows();
int cols = matrix.cols();
int diagSize = cols;
Index rows = matrix.rows();
Index cols = matrix.cols();
Index diagSize = cols;
if(rows > cols)
{
FullPivHouseholderQR<MatrixType> qr(matrix);
@@ -282,6 +286,7 @@ struct ei_svd_precondition_if_more_cols_than_rows<MatrixType, Options, true>
typedef JacobiSVD<MatrixType, Options> SVD;
typedef typename MatrixType::Scalar Scalar;
typedef typename MatrixType::RealScalar RealScalar;
typedef typename MatrixType::Index Index;
enum {
ComputeU = SVD::ComputeU,
ComputeV = SVD::ComputeV,
@@ -294,9 +299,9 @@ struct ei_svd_precondition_if_more_cols_than_rows<MatrixType, Options, true>
static bool run(const MatrixType& matrix, typename SVD::WorkMatrixType& work_matrix, SVD& svd)
{
int rows = matrix.rows();
int cols = matrix.cols();
int diagSize = rows;
Index rows = matrix.rows();
Index cols = matrix.cols();
Index diagSize = rows;
if(cols > rows)
{
typedef Matrix<Scalar,ColsAtCompileTime,RowsAtCompileTime,
@@ -315,9 +320,9 @@ struct ei_svd_precondition_if_more_cols_than_rows<MatrixType, Options, true>
template<typename MatrixType, unsigned int Options>
JacobiSVD<MatrixType, Options>& JacobiSVD<MatrixType, Options>::compute(const MatrixType& matrix)
{
int rows = matrix.rows();
int cols = matrix.cols();
int diagSize = std::min(rows, cols);
Index rows = matrix.rows();
Index cols = matrix.cols();
Index diagSize = std::min(rows, cols);
m_singularValues.resize(diagSize);
const RealScalar precision = 2 * NumTraits<Scalar>::epsilon();
@@ -333,9 +338,9 @@ JacobiSVD<MatrixType, Options>& JacobiSVD<MatrixType, Options>::compute(const Ma
while(!finished)
{
finished = true;
for(int p = 1; p < diagSize; ++p)
for(Index p = 1; p < diagSize; ++p)
{
for(int q = 0; q < p; ++q)
for(Index q = 0; q < p; ++q)
{
if(std::max(ei_abs(m_workMatrix.coeff(p,q)),ei_abs(m_workMatrix.coeff(q,p)))
> std::max(ei_abs(m_workMatrix.coeff(p,p)),ei_abs(m_workMatrix.coeff(q,q)))*precision)
@@ -356,16 +361,16 @@ JacobiSVD<MatrixType, Options>& JacobiSVD<MatrixType, Options>::compute(const Ma
}
}
for(int i = 0; i < diagSize; ++i)
for(Index i = 0; i < diagSize; ++i)
{
RealScalar a = ei_abs(m_workMatrix.coeff(i,i));
m_singularValues.coeffRef(i) = a;
if(ComputeU && (a!=RealScalar(0))) m_matrixU.col(i) *= m_workMatrix.coeff(i,i)/a;
}
for(int i = 0; i < diagSize; i++)
for(Index i = 0; i < diagSize; i++)
{
int pos;
Index pos;
m_singularValues.tail(diagSize-i).maxCoeff(&pos);
if(pos)
{