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#include "library/convolution/convolution_naive.hpp"
愚直な畳み込みの実装です。列の一方の次数が小さい場合は、こちらを用いる方が高速な場合があります。
#ifndef SUISEN_CONVOLUTION_NAIVE #define SUISEN_CONVOLUTION_NAIVE #include <vector> namespace suisen::internal { template <typename T, typename R = T> std::vector<R> convolution_naive(const std::vector<T>& a, const std::vector<T>& b) { const int n = a.size(), m = b.size(); std::vector<R> c(n + m - 1); if (n < m) { for (int j = 0; j < m; j++) for (int i = 0; i < n; i++) c[i + j] += R(a[i]) * b[j]; } else { for (int i = 0; i < n; i++) for (int j = 0; j < m; j++) c[i + j] += R(a[i]) * b[j]; } return c; } } // namespace suisen #endif // SUISEN_CONVOLUTION_NAIVE
#line 1 "library/convolution/convolution_naive.hpp" #include <vector> namespace suisen::internal { template <typename T, typename R = T> std::vector<R> convolution_naive(const std::vector<T>& a, const std::vector<T>& b) { const int n = a.size(), m = b.size(); std::vector<R> c(n + m - 1); if (n < m) { for (int j = 0; j < m; j++) for (int i = 0; i < n; i++) c[i + j] += R(a[i]) * b[j]; } else { for (int i = 0; i < n; i++) for (int j = 0; j < m; j++) c[i + j] += R(a[i]) * b[j]; } return c; } } // namespace suisen