本文仅代码,无理论解释
实话实说,我觉得这个算法在C系列的语言下,简直垃圾到爆炸……毕竟是一群完全不懂程序数学家对着纸弄出来的,看起来好像非常的有用,实际上耗时是非常爆炸的。
但是《算法导论》里有啊……然后上课又要求手写一个
于是我就手写了一个……我尽可能的减少使用的空间同时加快速度了,当 n = 512 的时候,内存使用量峰值没有超过 10mb,而且是通过递归实现 Strassen 算法
其中,in.txt 已经预先准备了 3000000 个范围在 0-100 随机数,避免程序在运算过程中爆 int(虽然完全可以取1000)
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/**
* Created by Mauve on 3/29/2020.
* Copyright © 2020 Mauve, All Rights Reserved
*/
#include <bits/stdc++.h>
using namespace std;
/**
* 矩阵相乘
* 最终结果耗时结果保存至
* https://www.desmos.com/calculator/gl4tm5i1zu
*/
struct mat {
unsigned row, col;
mat(unsigned r, unsigned c) : row(r), col(c) {}
virtual int &pos_ref(unsigned i, unsigned j) = 0;
virtual int pos(unsigned i, unsigned j) const = 0;
};
struct base_mat;
struct sub_mat;
stack<sub_mat *> sub_data;
struct base_mat : mat {
int *data;
base_mat(unsigned r, unsigned c) : mat(r, c), data( new int [row * col]) {}
~base_mat() {
delete [] data;
}
inline int &pos_ref(unsigned i, unsigned j) override {
return *(data + i * col + j);
}
inline int pos(unsigned i, unsigned j) const override {
return *(data + i * col + j);
}
};
unsigned min_mul;
struct sub_mat : mat {
mat *a, *b;
bool is_add;
unsigned offset_ai, offset_aj, offset_bi, offset_bj;
explicit sub_mat(mat *data) : mat(data->row, data->col), a(data), b(nullptr),
is_add( false ), offset_ai(0), offset_aj(0),
offset_bi(0), offset_bj(0) { sub_data.push( this ); }
sub_mat(mat *data, bool of_i, bool of_j) : mat(data->row >> 1u, data->col >> 1u), a(data), b(nullptr),
is_add( false ), offset_ai(of_i ? data->row >> 1u : 0),
offset_aj(of_j ? data->col >> 1u : 0),
offset_bi(0), offset_bj(0) { sub_data.push( this ); }
inline int &pos_ref(unsigned i, unsigned j) override {
assert (b == nullptr);
return a->pos_ref(i + offset_ai, j + offset_aj);
}
inline int pos(unsigned i, unsigned j) const override {
if (b == nullptr)
return a->pos(i + offset_ai, j + offset_aj);
return a->pos(i + offset_ai, j + offset_aj) + (is_add ? 1 : -1) * b->pos(i + offset_bi, j + offset_bj);
}
inline sub_mat *operator+(sub_mat &other) {
auto res = new sub_mat( this );
res->b = &other;
res->is_add = true ;
return res;
}
inline sub_mat *operator-(sub_mat &other) {
auto res = new sub_mat( this );
res->b = &other;
res->is_add = false ;
return res;
}
mat *operator*(sub_mat &other) {
assert (col == other.row);
auto res = new base_mat(row, other.col);
if (col & 1u || row & 1u || col <= min_mul || row <= min_mul || other.col <= min_mul) {
memset (res->data, 0, sizeof ( int ) * res->row * res->col);
for ( int k = 0; k < col; k++)
for ( int i = 0; i < row; ++i)
for ( int j = 0; j < other.col; ++j)
res->pos_ref(i, j) += pos(i, k) * other.pos(k, j);
} else {
size_t sub_data_size = sub_data.size();
#define a(i, j) (*new sub_mat(this, i == 2 , j == 2))
#define b(i, j) (*new sub_mat(&other, i == 2 , j == 2))
auto m1 = *(a(1, 1) + a(2, 2)) * *(b(1, 1) + b (2, 2));
auto m2 = *(a(2, 1) + a(2, 2)) * b(1, 1);
auto m3 = a(1, 1) * *(b(1, 2) - b(2, 2));
auto m4 = a(2, 2) * *(b(2, 1) - b(1, 1));
auto m5 = *(a(1, 1) + a(1, 2)) * b(2, 2);
auto m6 = *(a(2, 1) - a(1, 1)) * *(b(1, 1) + b(1, 2));
auto m7 = *(a(1, 2) - a(2, 2)) * *(b(2, 1) + b(2, 2));
#undef a
#undef b
unsigned half_row = row >> 1u, half_col = col >> 1u;
#define m(t) (m##t->pos(i, j))
// C11
for (unsigned i = 0; i < half_row; ++i)
for (unsigned j = 0; j < half_col; ++j)
res->pos_ref(i, j) = m(1) + m(4) - m(5) + m(7);
// C12
for (unsigned i = 0; i < half_row; ++i)
for (unsigned j = 0; j < half_col; ++j)
res->pos_ref(i, j + half_col) = m(3) + m(5);
// C21
for (unsigned i = 0; i < half_row; ++i)
for (unsigned j = 0; j < half_col; ++j)
res->pos_ref(i + half_row, j) = m(2) + m(4);
// C22
for (unsigned i = 0; i < half_row; ++i)
for (unsigned j = 0; j < half_col; ++j)
res->pos_ref(i + half_row, j + half_col) = m(1) - m(2) + m(3) + m(6);
#undef m
delete dynamic_cast <base_mat *>(m1);
delete dynamic_cast <base_mat *>(m2);
delete dynamic_cast <base_mat *>(m3);
delete dynamic_cast <base_mat *>(m4);
delete dynamic_cast <base_mat *>(m5);
delete dynamic_cast <base_mat *>(m6);
delete dynamic_cast <base_mat *>(m7);
while (sub_data.size() > sub_data_size) {
delete sub_data.top();
sub_data.pop();
}
}
return res;
}
};
unsigned N = 2;
void solve() {
cerr << "N = " << N << endl;
base_mat a(N, N), b(N, N);
for ( int i = 0; i < N; ++i)
for ( int j = 0; j < N; ++j)
cin >> a.pos_ref(i, j);
for ( int i = 0; i < N; ++i)
for ( int j = 0; j < N; ++j)
cin >> b.pos_ref(i, j);
for ( int t = 1; t < min(10u, N); t += 3) {
auto x = new sub_mat(&a), y = new sub_mat(&b);
min_mul = t;
auto time_1 = clock ();
auto z = *x * *y;
auto time_2 = clock ();
cerr << "t = " << t << " time: " << double (time_2 - time_1) / CLOCKS_PER_SEC << endl;
delete dynamic_cast <base_mat *>(z);
while (!sub_data.empty()) {
delete sub_data.top();
sub_data.pop();
}
}
auto x = new sub_mat(&a), y = new sub_mat(&b);
min_mul = 10000;
auto time_1 = clock ();
auto z = *x * *y;
auto time_2 = clock ();
cerr << "tradition: " << double (time_2 - time_1) / CLOCKS_PER_SEC << endl;
delete dynamic_cast <base_mat *>(z);
while (!sub_data.empty()) {
delete sub_data.top();
sub_data.pop();
}
N *= 2;
if (N >= 1000) exit (0);
}
signed main() {
ios_base::sync_with_stdio( false );
cin.tie(nullptr);
cout.tie(nullptr);
#ifdef ACM_LOCAL
freopen ( "in.txt" , "r" , stdin);
freopen ( "out.txt" , "w" , stdout);
long long test_index_for_debug = 1;
char acm_local_for_debug;
while (cin >> acm_local_for_debug && acm_local_for_debug != '~' ) {
cin.putback(acm_local_for_debug);
if (test_index_for_debug > 20) {
throw runtime_error( "Check the stdin!!!" );
}
auto start_clock_for_debug = clock ();
solve();
auto end_clock_for_debug = clock ();
cout << "Test " << test_index_for_debug << " successful" << endl;
cerr << "Test " << test_index_for_debug++ << " Run Time: "
<< double (end_clock_for_debug - start_clock_for_debug) / CLOCKS_PER_SEC << "s" << endl;
cout << "--------------------------------------------------" << endl;
}
#else
solve();
#endif
return 0;
}
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原文链接:https://www.cnblogs.com/mauve-hkq/p/12595572.html