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bug #785: Make Cholesky decomposition work for empty matrices

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(grafted from 919414b9fe
)
This commit is contained in:
Christoph Hertzberg
2018-12-03 16:18:15 +01:00
parent 5c97b48c29
commit b9a2a8d2aa
3 changed files with 14 additions and 7 deletions
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3
Eigen/src/Cholesky/LDLT.h
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@@ -305,7 +305,8 @@ template<> struct ldlt_inplace<Lower>
if (size <= 1)
{
transpositions.setIdentity();
if (numext::real(mat.coeff(0,0)) > static_cast<RealScalar>(0) ) sign = PositiveSemiDef;
if(size==0) sign = ZeroSign;
else if (numext::real(mat.coeff(0,0)) > static_cast<RealScalar>(0) ) sign = PositiveSemiDef;
else if (numext::real(mat.coeff(0,0)) < static_cast<RealScalar>(0)) sign = NegativeSemiDef;
else sign = ZeroSign;
return true;

2
Eigen/src/Core/ConditionEstimator.h
View File

@@ -160,7 +160,7 @@ rcond_estimate_helper(typename Decomposition::RealScalar matrix_norm, const Deco
{
typedef typename Decomposition::RealScalar RealScalar;
eigen_assert(dec.rows() == dec.cols());
if (dec.rows() == 0) return RealScalar(1);
if (dec.rows() == 0) return RealScalar(1)/RealScalar(0);
if (matrix_norm == RealScalar(0)) return RealScalar(0);
if (dec.rows() == 1) return RealScalar(1);
const RealScalar inverse_matrix_norm = rcond_invmatrix_L1_norm_estimate(dec);