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an attempt to fix 133
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@ -115,9 +115,11 @@ template<typename Scalar> void sparse_solvers(int rows, int cols)
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DenseVector b = DenseVector::Random(cols);
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DenseVector refX(cols), x(cols);
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initSPD(density, refMat2, m2);
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initSparse<Scalar>(density, refMat2, m2, ForceNonZeroDiag|MakeLowerTriangular, 0, 0);
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for(int i=0; i<rows; ++i)
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m2.coeffRef(i,i) = refMat2(i,i) = ei_abs(ei_real(refMat2(i,i)));
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refX = refMat2.llt().solve(b);
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refX = refMat2.template selfadjointView<Lower>().llt().solve(b);
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if (!NumTraits<Scalar>::IsComplex)
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{
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x = b;
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@ -160,8 +162,7 @@ template<typename Scalar> void sparse_solvers(int rows, int cols)
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for(int i=0; i<rows; ++i)
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m2.coeffRef(i,i) = refMat2(i,i) = ei_abs(ei_real(refMat2(i,i)));
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refX = refMat2.template selfadjointView<Upper>().llt().solve(b);
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// FIXME use LLT to compute the reference because LDLT seems to fail with large matrices
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refX = refMat2.template selfadjointView<Upper>().ldlt().solve(b);
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typedef SparseMatrix<Scalar,Upper|SelfAdjoint> SparseSelfAdjointMatrix;
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x = b;
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SparseLDLT<SparseSelfAdjointMatrix> ldlt(m2);
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@ -170,6 +171,7 @@ template<typename Scalar> void sparse_solvers(int rows, int cols)
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else
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std::cerr << "warning LDLT failed\n";
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VERIFY_IS_APPROX(refMat2.template selfadjointView<Upper>() * x, b);
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VERIFY(refX.isApprox(x,test_precision<Scalar>()) && "LDLT: default");
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}
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@ -242,7 +244,8 @@ void test_sparse_solvers()
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{
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for(int i = 0; i < g_repeat; i++) {
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CALL_SUBTEST_1(sparse_solvers<double>(8, 8) );
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CALL_SUBTEST_2(sparse_solvers<std::complex<double> >(16, 16) );
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CALL_SUBTEST_1(sparse_solvers<double>(100, 100) );
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int s = ei_random<int>(1,300);
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CALL_SUBTEST_2(sparse_solvers<std::complex<double> >(s,s) );
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CALL_SUBTEST_1(sparse_solvers<double>(s,s) );
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}
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}
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