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-rw-r--r--Eigen/src/Cholesky/CholeskyWithoutSquareRoot.h6
-rw-r--r--Eigen/src/Core/Part.h2
-rw-r--r--test/cholesky.cpp1
-rw-r--r--test/triangular.cpp2
4 files changed, 9 insertions, 2 deletions
diff --git a/Eigen/src/Cholesky/CholeskyWithoutSquareRoot.h b/Eigen/src/Cholesky/CholeskyWithoutSquareRoot.h
index db33b04f9..4040869b0 100644
--- a/Eigen/src/Cholesky/CholeskyWithoutSquareRoot.h
+++ b/Eigen/src/Cholesky/CholeskyWithoutSquareRoot.h
@@ -96,6 +96,12 @@ void CholeskyWithoutSquareRoot<MatrixType>::compute(const MatrixType& a)
m_isPositiveDefinite = true;
const RealScalar eps = ei_sqrt(precision<Scalar>());
+ if (size<=1)
+ {
+ m_matrix = a;
+ return;
+ }
+
// Let's preallocate a temporay vector to evaluate the matrix-vector product into it.
// Unlike the standard Cholesky decomposition, here we cannot evaluate it to the destination
// matrix because it a sub-row which is not compatible suitable for efficient packet evaluation.
diff --git a/Eigen/src/Core/Part.h b/Eigen/src/Core/Part.h
index 4d39c4c08..931933575 100644
--- a/Eigen/src/Core/Part.h
+++ b/Eigen/src/Core/Part.h
@@ -88,7 +88,7 @@ template<typename MatrixType, unsigned int Mode> class Part
inline Scalar coeff(int row, int col) const
{
- if(Flags & LowerTriangularBit ? col>row : row>col)
+ if( (Flags & LowerTriangularBit) && (col>row) || (Flags & UpperTriangularBit) && (row>col) )
return (Flags & SelfAdjointBit) ? ei_conj(m_matrix.coeff(col, row)) : (Scalar)0;
if(Flags & UnitDiagBit)
return col==row ? (Scalar)1 : m_matrix.coeff(row, col);
diff --git a/test/cholesky.cpp b/test/cholesky.cpp
index 36a11c723..80614346c 100644
--- a/test/cholesky.cpp
+++ b/test/cholesky.cpp
@@ -79,7 +79,6 @@ template<typename MatrixType> void cholesky(const MatrixType& m)
}
#endif
- if (rows>1)
{
CholeskyWithoutSquareRoot<SquareMatrixType> cholnosqrt(symm);
VERIFY(cholnosqrt.isPositiveDefinite());
diff --git a/test/triangular.cpp b/test/triangular.cpp
index 22a19f974..2ada0dd90 100644
--- a/test/triangular.cpp
+++ b/test/triangular.cpp
@@ -81,6 +81,8 @@ template<typename MatrixType> void triangular(const MatrixType& m)
m1.template part<Eigen::Lower>() = (m2.transpose() * m2).lazy();
VERIFY_IS_APPROX(m3.template part<Eigen::Lower>(), m1);
+ VERIFY_IS_APPROX(m3.template part<Diagonal>(), m3.diagonal().asDiagonal());
+
m1 = MatrixType::Random(rows, cols);
for (int i=0; i<rows; ++i)
while (ei_abs2(m1(i,i))<1e-3) m1(i,i) = ei_random<Scalar>();