/** * \file * \brief [LU decomposition](https://en.wikipedia.org/wiki/LU_decompositon) of a * square matrix * \author [Krishna Vedala](https://github.com/kvedala) */ #include #include #include #include "./lu_decomposition.h" /** * operator to print a matrix */ template std::ostream &operator<<(std::ostream &out, std::vector> const &v) { const int width = 10; const char separator = ' '; for (size_t row = 0; row < v.size(); row++) { for (size_t col = 0; col < v[row].size(); col++) out << std::left << std::setw(width) << std::setfill(separator) << v[row][col]; out << std::endl; } return out; } /** Main function */ int main(int argc, char **argv) { int mat_size = 3; // default matrix size const int range = 50; const int range2 = range >> 1; if (argc == 2) mat_size = atoi(argv[1]); std::srand(std::time(NULL)); // random number initializer /* Create a square matrix with random values */ std::vector> A(mat_size, std::valarray(mat_size)); std::vector> L( mat_size, std::valarray(mat_size)); // output std::vector> U( mat_size, std::valarray(mat_size)); // output for (int i = 0; i < mat_size; i++) { // calloc so that all valeus are '0' by default for (int j = 0; j < mat_size; j++) /* create random values in the limits [-range2, range-1] */ A[i][j] = static_cast(std::rand() % range - range2); } std::clock_t start_t = std::clock(); lu_decomposition(A, &L, &U); std::clock_t end_t = std::clock(); std::cout << "Time taken: " << static_cast(end_t - start_t) / CLOCKS_PER_SEC << "\n"; std::cout << "A = \n" << A << "\n"; std::cout << "L = \n" << L << "\n"; std::cout << "U = \n" << U << "\n"; return 0; }