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* sparse LU: add extraction of L,U,P, and Q, as well as determinant
for both backends. * extended a bit the sparse unit tests
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@@ -190,10 +190,7 @@ template<typename MatrixType> class LU
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* \sa MatrixBase::solveTriangular(), kernel(), computeKernel(), inverse(), computeInverse()
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*/
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template<typename OtherDerived, typename ResultType>
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bool solve(
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const MatrixBase<OtherDerived>& b,
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ResultType *result
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) const;
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bool solve(const MatrixBase<OtherDerived>& b, ResultType *result) const;
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/** \returns the determinant of the matrix of which
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* *this is the LU decomposition. It has only linear complexity
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