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merge and add start/end to Eigen2Support

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Gael Guennebaud
2010-01-05 13:07:32 +01:00
parent 90d2ae7fec 51b8f014f3
commit 9d9e00b608
78 changed files with 1072 additions and 592 deletions
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18
Eigen/src/Cholesky/LDLT.h
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@@ -194,7 +194,7 @@ LDLT<MatrixType>& LDLT<MatrixType>::compute(const MatrixType& a)
{
// Find largest diagonal element
int index_of_biggest_in_corner;
biggest_in_corner = m_matrix.diagonal().end(size-j).cwiseAbs()
biggest_in_corner = m_matrix.diagonal().tail(size-j).cwiseAbs()
.maxCoeff(&index_of_biggest_in_corner);
index_of_biggest_in_corner += j;
@@ -227,12 +227,12 @@ LDLT<MatrixType>& LDLT<MatrixType>::compute(const MatrixType& a)
if (j == 0) {
m_matrix.row(0) = m_matrix.row(0).conjugate();
m_matrix.col(0).end(size-1) = m_matrix.row(0).end(size-1) / m_matrix.coeff(0,0);
m_matrix.col(0).tail(size-1) = m_matrix.row(0).tail(size-1) / m_matrix.coeff(0,0);
continue;
}
RealScalar Djj = ei_real(m_matrix.coeff(j,j) - m_matrix.row(j).start(j)
.dot(m_matrix.col(j).start(j)));
RealScalar Djj = ei_real(m_matrix.coeff(j,j) - m_matrix.row(j).head(j)
.dot(m_matrix.col(j).head(j)));
m_matrix.coeffRef(j,j) = Djj;
// Finish early if the matrix is not full rank.
@@ -244,13 +244,13 @@ LDLT<MatrixType>& LDLT<MatrixType>::compute(const MatrixType& a)
int endSize = size - j - 1;
if (endSize > 0) {
_temporary.end(endSize).noalias() = m_matrix.block(j+1,0, endSize, j)
* m_matrix.col(j).start(j).conjugate();
_temporary.tail(endSize).noalias() = m_matrix.block(j+1,0, endSize, j)
* m_matrix.col(j).head(j).conjugate();
m_matrix.row(j).end(endSize) = m_matrix.row(j).end(endSize).conjugate()
- _temporary.end(endSize).transpose();
m_matrix.row(j).tail(endSize) = m_matrix.row(j).tail(endSize).conjugate()
- _temporary.tail(endSize).transpose();
m_matrix.col(j).end(endSize) = m_matrix.row(j).end(endSize) / Djj;
m_matrix.col(j).tail(endSize) = m_matrix.row(j).tail(endSize) / Djj;
}
}

2
Eigen/src/Cholesky/LLT.h
View File

@@ -166,7 +166,7 @@ template<> struct ei_llt_inplace<LowerTriangular>
Block<MatrixType,Dynamic,Dynamic> A20(mat,k+1,0,rs,k);
RealScalar x = ei_real(mat.coeff(k,k));
if (k>0) x -= mat.row(k).start(k).squaredNorm();
if (k>0) x -= mat.row(k).head(k).squaredNorm();
if (x<=RealScalar(0))
return false;
mat.coeffRef(k,k) = x = ei_sqrt(x);