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https://gitlab.com/libeigen/eigen.git
synced 2026-04-10 11:34:33 +08:00
fix LDLT, now it really only uses a given triangular part!
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@@ -69,7 +69,6 @@ template<typename _MatrixType, int _UpLo> class LDLT
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typedef typename MatrixType::Scalar Scalar;
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typedef typename NumTraits<typename MatrixType::Scalar>::Real RealScalar;
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typedef typename MatrixType::Index Index;
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// typedef typename ei_plain_col_type<MatrixType, Index>::type IntColVectorType;
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typedef Matrix<Scalar, RowsAtCompileTime, 1, Options, MaxRowsAtCompileTime, 1> TmpMatrixType;
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typedef Transpositions<RowsAtCompileTime, MaxRowsAtCompileTime> TranspositionType;
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@@ -251,10 +250,26 @@ template<> struct ei_ldlt_inplace<Lower>
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transpositions.coeffRef(k) = index_of_biggest_in_corner;
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if(k != index_of_biggest_in_corner)
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{
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mat.row(k).swap(mat.row(index_of_biggest_in_corner));
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mat.col(k).swap(mat.col(index_of_biggest_in_corner));
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// apply the transposition while taking care to consider only
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// the lower triangular part
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Index s = size-index_of_biggest_in_corner-1; // trailing size after the biggest element
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mat.row(k).head(k).swap(mat.row(index_of_biggest_in_corner).head(k));
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mat.col(k).tail(s).swap(mat.col(index_of_biggest_in_corner).tail(s));
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std::swap(mat.coeffRef(k,k),mat.coeffRef(index_of_biggest_in_corner,index_of_biggest_in_corner));
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for(int i=k+1;i<index_of_biggest_in_corner;++i)
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{
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Scalar tmp = mat.coeffRef(i,k);
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mat.coeffRef(i,k) = ei_conj(mat.coeffRef(index_of_biggest_in_corner,i));
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mat.coeffRef(index_of_biggest_in_corner,i) = ei_conj(tmp);
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}
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if(NumTraits<Scalar>::IsComplex)
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mat.coeffRef(index_of_biggest_in_corner,k) = ei_conj(mat.coeff(index_of_biggest_in_corner,k));
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}
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// partition the matrix:
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// A00 | - | -
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// lu = A10 | A11 | -
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// A20 | A21 | A22
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Index rs = size - k - 1;
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Block<MatrixType,Dynamic,1> A21(mat,k+1,k,rs,1);
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Block<MatrixType,1,Dynamic> A10(mat,k,0,1,k);
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@@ -208,9 +208,12 @@ template<> struct ei_llt_inplace<Lower>
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for (Index k=0; k<size; k+=blockSize)
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{
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// partition the matrix:
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// A00 | - | -
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// lu = A10 | A11 | -
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// A20 | A21 | A22
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Index bs = std::min(blockSize, size-k);
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Index rs = size - k - bs;
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Block<MatrixType,Dynamic,Dynamic> A11(m,k, k, bs,bs);
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Block<MatrixType,Dynamic,Dynamic> A21(m,k+bs,k, rs,bs);
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Block<MatrixType,Dynamic,Dynamic> A22(m,k+bs,k+bs,rs,rs);
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