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Refactor loop of filling of matrix A.
- make now use of another variable 'j' for c, bc and alpha indexing instead of always incrementing with =i= and the negation of =left_is_constant=
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@ -133,21 +133,21 @@ void BTCSDiffusion::simulate1D(std::vector<double> &c, boundary_condition left,
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// A_matrix.insert(0, 0) = 1;
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// A_matrix.insert(0, 0) = 1;
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// A_matrix.insert(size + 1, size + 1) = 1;
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// A_matrix.insert(size + 1, size + 1) = 1;
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for (int i = 1; i < size - right_is_constant; i++) {
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for (int i = 1, j = i + !(left_is_constant); i < size - right_is_constant;
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if (bc[i + !(left_is_constant)].type == BTCSDiffusion::BC_CONSTANT) {
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i++, j++) {
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if (bc[j].type == BTCSDiffusion::BC_CONSTANT) {
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A_matrix.insert(i, i) = 1;
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A_matrix.insert(i, i) = 1;
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b_vector[i] = bc[i + !(left_is_constant)].value;
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b_vector[i] = bc[j].value;
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continue;
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continue;
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}
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}
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double sx = (alpha[j] * time_step) / (dx * dx);
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double sx = (alpha[i + !(left_is_constant)] * time_step) / (dx * dx);
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A_matrix.insert(i, i) = -1. - 2. * sx;
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A_matrix.insert(i, i) = -1. - 2. * sx;
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A_matrix.insert(i, i - 1) = sx;
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A_matrix.insert(i, i - 1) = sx;
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A_matrix.insert(i, i + 1) = sx;
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A_matrix.insert(i, i + 1) = sx;
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b_vector[i] = -c[i + !(left_is_constant)];
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b_vector[i] = -c[j];
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}
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}
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Eigen::SparseLU<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int>>
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Eigen::SparseLU<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int>>
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