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fix some compile errors with gcc 4.3, some warnings, some documentation

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This commit is contained in:
Benoit Jacob
2008-06-06 13:10:00 +00:00
parent 2126baf9dc
commit 869394ee8b
4 changed files with 9 additions and 12 deletions
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9
Eigen/src/QR/SelfAdjointEigenSolver.h
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@@ -47,7 +47,7 @@ template<typename _MatrixType> class SelfAdjointEigenSolver
typedef std::complex<RealScalar> Complex;
typedef Matrix<RealScalar, MatrixType::ColsAtCompileTime, 1> RealVectorType;
typedef Matrix<RealScalar, Dynamic, 1> RealVectorTypeX;
typedef Tridiagonalization<MatrixType> Tridiagonalization;
typedef Tridiagonalization<MatrixType> TridiagonalizationType;
SelfAdjointEigenSolver(const MatrixType& matrix, bool computeEigenvectors = true)
: m_eivec(matrix.rows(), matrix.cols()),
@@ -124,8 +124,8 @@ void SelfAdjointEigenSolver<MatrixType>::compute(const MatrixType& matrix, bool
// the latter avoids multiple memory allocation when the same SelfAdjointEigenSolver is used multiple times...
// (same for diag and subdiag)
RealVectorType& diag = m_eivalues;
typename Tridiagonalization::SubDiagonalType subdiag(n-1);
Tridiagonalization::decomposeInPlace(m_eivec, diag, subdiag, computeEigenvectors);
typename TridiagonalizationType::SubDiagonalType subdiag(n-1);
TridiagonalizationType::decomposeInPlace(m_eivec, diag, subdiag, computeEigenvectors);
int end = n-1;
int start = 0;
@@ -191,10 +191,11 @@ template<typename Derived> struct ei_matrixNorm_selector<Derived, false>
static inline typename NumTraits<typename ei_traits<Derived>::Scalar>::Real
matrixNorm(const MatrixBase<Derived>& m)
{
typename Derived::Eval m_eval(m);
// FIXME if it is really guaranteed that the eigenvalues are already sorted,
// then we don't need to compute a maxCoeff() here, comparing the 1st and last ones is enough.
return ei_sqrt(
(m*m.adjoint())
(m_eval*m_eval.adjoint())
.template marked<SelfAdjoint>()
.eigenvalues()
.maxCoeff()

4
Eigen/src/QR/Tridiagonalization.h
View File

@@ -163,7 +163,7 @@ void Tridiagonalization<MatrixType>::_compute(MatrixType& matA, CoeffVectorType&
RealScalar beta = ei_sqrt(ei_abs2(v0)+v1norm2);
if (ei_real(v0)>=0.)
beta = -beta;
matA.col(i).end(n-(i+2)) *= (1./(v0-beta));
matA.col(i).end(n-(i+2)) *= (Scalar(1)/(v0-beta));
matA.col(i).coeffRef(i+1) = beta;
Scalar h = (beta - v0) / beta;
// end of the householder transformation
@@ -177,7 +177,7 @@ void Tridiagonalization<MatrixType>::_compute(MatrixType& matA, CoeffVectorType&
* matA.col(i).end(n-i-1));
hCoeffs.end(n-i-1) += (h * (-0.5) * matA.col(i).end(n-i-1).dot(hCoeffs.end(n-i-1)))
hCoeffs.end(n-i-1) += (h * Scalar(-0.5) * matA.col(i).end(n-i-1).dot(hCoeffs.end(n-i-1)))
* matA.col(i).end(n-i-1);
matA.corner(BottomRight,n-i-1,n-i-1).template part<Lower>() =