/* This file is part of TON Blockchain Library. TON Blockchain Library is free software: you can redistribute it and/or modify it under the terms of the GNU Lesser General Public License as published by the Free Software Foundation, either version 2 of the License, or (at your option) any later version. TON Blockchain Library is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License for more details. You should have received a copy of the GNU Lesser General Public License along with TON Blockchain Library. If not, see . Copyright 2017-2020 Telegram Systems LLP */ #include "td/fec/algebra/GaussianElimination.h" namespace td { Result GaussianElimination::run(MatrixGF256 A, MatrixGF256 D) { const size_t cols = A.cols(); const size_t rows = A.rows(); CHECK(cols <= rows); std::vector row_perm(rows); for (uint32 i = 0; i < rows; i++) { row_perm[i] = i; } for (size_t row = 0; row < cols; row++) { size_t non_zero_row = row; for (; non_zero_row < rows && A.get(row_perm[non_zero_row], row).is_zero(); non_zero_row++) { } if (non_zero_row == rows) { return Status::Error("Non solvable"); } if (non_zero_row != row) { std::swap(row_perm[non_zero_row], row_perm[row]); } auto mul = A.get(row_perm[row], row).inverse(); A.row_multiply(row_perm[row], mul); D.row_multiply(row_perm[row], mul); CHECK(A.get(row_perm[row], row).value() == 1); for (size_t zero_row = 0; zero_row < rows; zero_row++) { if (zero_row == row) { continue; } auto x = A.get(row_perm[zero_row], row); if (!x.is_zero()) { A.row_add_mul(row_perm[zero_row], row_perm[row], x); D.row_add_mul(row_perm[zero_row], row_perm[row], x); } } } return D.apply_row_permutation(row_perm); } } // namespace td