devtools/eigen
1
0
Fork 0
mirror of https://gitlab.com/libeigen/eigen.git synced 2026-04-10 11:34:33 +08:00
Code Issues Packages Projects Releases Wiki Activity

bug #1493: Make representation of HouseholderSequence consistent and working for complex numbers. Made corresponding unit test actually test that. Also simplify implementation of QR decompositions

Browse Source
This commit is contained in:
Christoph Hertzberg
2018-04-15 10:15:28 +02:00
parent c9ecfff2e6
commit 42715533f1
9 changed files with 60 additions and 38 deletions
Download Patch File Download Diff File Expand all files Collapse all files

7
Eigen/src/QR/CompleteOrthogonalDecomposition.h
View File

@@ -452,7 +452,7 @@ void CompleteOrthogonalDecomposition<MatrixType>::computeInPlace()
// Apply Z(k) to the first k rows of X_k
m_cpqr.m_qr.topRightCorner(k, cols - rank + 1)
.applyHouseholderOnTheRight(
m_cpqr.m_qr.row(k).tail(cols - rank).transpose(), m_zCoeffs(k),
m_cpqr.m_qr.row(k).tail(cols - rank).adjoint(), m_zCoeffs(k),
&m_temp(0));
}
if (k != rank - 1) {
@@ -500,11 +500,8 @@ void CompleteOrthogonalDecomposition<_MatrixType>::_solve_impl(
}
// Compute c = Q^* * rhs
// Note that the matrix Q = H_0^* H_1^*... so its inverse is
// Q^* = (H_0 H_1 ...)^T
typename RhsType::PlainObject c(rhs);
c.applyOnTheLeft(
householderSequence(matrixQTZ(), hCoeffs()).setLength(rank).transpose());
c.applyOnTheLeft(matrixQ().setLength(rank).adjoint());
// Solve T z = c(1:rank, :)
dst.topRows(rank) = matrixT()