Created
January 30, 2025 20:55
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| template <typename size_t N> | |
| double determinant_nxn(const MatrixXd& m) | |
| { | |
| if (m.cols() != m.rows()) | |
| { | |
| cout << "Matrix must be " << N << "x" << N << endl; | |
| return 0; | |
| } | |
| Vector_nD<N> a_nd; | |
| for (size_t i = 0; i < N; i++) | |
| a_nd.components[i] = m(0, i); | |
| std::vector<Vector_nD<N>> vectors; | |
| for (size_t i = 1; i < N; i++) | |
| { | |
| Vector_nD<N> non; | |
| for (size_t j = 0; j < N; j++) | |
| non.components[j] = m(i, j); | |
| vectors.push_back(non); | |
| } | |
| // Compute the cross product | |
| Vector_nD<N> result = Vector_nD<N>::cross_product(vectors); | |
| for (size_t i = 0; i < result.components.size(); i++) | |
| if (i % 2 == 1) | |
| result.components[i] = -result.components[i]; | |
| double d_dot = Vector_nD<N>::dot_product(a_nd, result); | |
| cout << d_dot << endl; | |
| cout << m.determinant() << endl << endl; | |
| return d_dot; | |
| } | |
| ... and ... | |
| int main(int argc, char** argv) | |
| { | |
| cout << std::scientific << endl; | |
| // cout << setprecision(20) << endl; | |
| const size_t N = 10; | |
| MatrixXd m(N, N); | |
| for (size_t i = 0; i < N; i++) | |
| for (size_t j = 0; j < N; j++) | |
| m(i, j) = static_cast<double>(rand()); | |
| determinant_nxn<N>(m); | |
| return 0; | |
| } |
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