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norm2() renamed to squaredNorm(), kept as deprecated for now.

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This commit is contained in:
Benoit Jacob
2008-11-03 19:14:17 +00:00
parent 3f580e240e
commit 3d90c13970
17 changed files with 51 additions and 36 deletions
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2
Eigen/src/QR/HessenbergDecomposition.h
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@@ -148,7 +148,7 @@ void HessenbergDecomposition<MatrixType>::_compute(MatrixType& matA, CoeffVector
// start of the householder transformation
// squared norm of the vector v skipping the first element
RealScalar v1norm2 = matA.col(i).end(n-(i+2)).norm2();
RealScalar v1norm2 = matA.col(i).end(n-(i+2)).squaredNorm();
if (ei_isMuchSmallerThan(v1norm2,static_cast<Scalar>(1)))
{

2
Eigen/src/QR/QR.h
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@@ -109,7 +109,7 @@ void QR<MatrixType>::_compute(const MatrixType& matrix)
m_hCoeffs.coeffRef(k) = 0;
}
}
else if ( (!ei_isMuchSmallerThan(beta=m_qr.col(k).end(remainingSize-1).norm2(),static_cast<Scalar>(1))) || ei_imag(v0)==0 )
else if ( (!ei_isMuchSmallerThan(beta=m_qr.col(k).end(remainingSize-1).squaredNorm(),static_cast<Scalar>(1))) || ei_imag(v0)==0 )
{
// form k-th Householder vector
beta = ei_sqrt(ei_abs2(v0)+beta);

2
Eigen/src/QR/Tridiagonalization.h
View File

@@ -198,7 +198,7 @@ void Tridiagonalization<MatrixType>::_compute(MatrixType& matA, CoeffVectorType&
// start of the householder transformation
// squared norm of the vector v skipping the first element
RealScalar v1norm2 = matA.col(i).end(n-(i+2)).norm2();
RealScalar v1norm2 = matA.col(i).end(n-(i+2)).squaredNorm();
if (ei_isMuchSmallerThan(v1norm2,static_cast<Scalar>(1)))
{