aboutsummaryrefslogtreecommitdiffhomepage
diff options
context:
space:
mode:
authorGravatar Matthieu Vigne <matthieu.vigne@laposte.net>2018-10-31 20:28:18 +0100
committerGravatar Matthieu Vigne <matthieu.vigne@laposte.net>2018-10-31 20:28:18 +0100
commit8d7a73e48e82b41f8e8b90afb434c98452556990 (patch)
treee974f6944458c71097e272ab70d899ad215caea9
parent66b28e290d426899bda932fa3b0617d63b3a2a75 (diff)
bug #1617: Fix SolveTriangular.solveInPlace crashing for empty matrix.
This made FullPivLU.kernel() crash when used on the zero matrix. Add unit test for FullPivLU.kernel() on the zero matrix.
-rw-r--r--Eigen/src/Core/SolveTriangular.h3
-rw-r--r--test/lu.cpp4
2 files changed, 7 insertions, 0 deletions
diff --git a/Eigen/src/Core/SolveTriangular.h b/Eigen/src/Core/SolveTriangular.h
index a0011d4f9..2e061caab 100644
--- a/Eigen/src/Core/SolveTriangular.h
+++ b/Eigen/src/Core/SolveTriangular.h
@@ -169,6 +169,9 @@ EIGEN_DEVICE_FUNC void TriangularViewImpl<MatrixType,Mode,Dense>::solveInPlace(c
OtherDerived& other = _other.const_cast_derived();
eigen_assert( derived().cols() == derived().rows() && ((Side==OnTheLeft && derived().cols() == other.rows()) || (Side==OnTheRight && derived().cols() == other.cols())) );
eigen_assert((!(Mode & ZeroDiag)) && bool(Mode & (Upper|Lower)));
+ // If solving for a 0x0 matrix, nothing to do, simply return.
+ if (derived().cols() == 0)
+ return;
enum { copy = (internal::traits<OtherDerived>::Flags & RowMajorBit) && OtherDerived::IsVectorAtCompileTime && OtherDerived::SizeAtCompileTime!=1};
typedef typename internal::conditional<copy,
diff --git a/test/lu.cpp b/test/lu.cpp
index 144496e91..effde6060 100644
--- a/test/lu.cpp
+++ b/test/lu.cpp
@@ -57,6 +57,10 @@ template<typename MatrixType> void lu_non_invertible()
// The image of the zero matrix should consist of a single (zero) column vector
VERIFY((MatrixType::Zero(rows,cols).fullPivLu().image(MatrixType::Zero(rows,cols)).cols() == 1));
+ // The kernel of the zero matrix is the entire space, and thus is an invertible matrix of dimensions cols.
+ KernelMatrixType kernel = MatrixType::Zero(rows,cols).fullPivLu().kernel();
+ VERIFY((kernel.fullPivLu().isInvertible()));
+
MatrixType m1(rows, cols), m3(rows, cols2);
CMatrixType m2(cols, cols2);
createRandomPIMatrixOfRank(rank, rows, cols, m1);