FFT,NTT学习笔记
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快速傅里叶变换,可以将多项式相乘的时间复杂度从最简单的O(n^2)优化到O(nlgn),详细过程参考算法导论.
FFT的流程大致是:
1):构造多项式,复杂度O(n)
2):求两个多项式的DFT,复杂度O(nlgn)
3):构造多项式乘积的点值表达式,复杂度O(n)
4):求点值表达式的IDFT,复杂度O(nlgn).
下面是两道最简单的习题:
HDU 1402:点击打开链接
求两个大数乘积.
因为一个大数可以看成是一个多项式,每一位上的值都表示对应次数下的系数,因此可以用FFT加速.
本体的一个坑点就是
len = l1+l2-1;这句代码,可能是精度问题在len更加高位的地方出现了非0值.
#include <bits/stdc++.h>using namespace std;#define pi acos (-1)#define maxn 200010struct plex { double x, y; plex (double _x = 0.0, double _y = 0.0) : x (_x), y (_y) {} plex operator + (const plex &a) const { return plex (x+a.x, y+a.y); } plex operator - (const plex &a) const { return plex (x-a.x, y-a.y); } plex operator * (const plex &a) const { return plex (x*a.x-y*a.y, x*a.y+y*a.x); }};void change (plex *y, int len) { int i, j, k; for(i = 1, j = len / 2; i < len - 1; i++) { if (i < j) swap(y[i], y[j]); k = len / 2; while (j >= k) { j -= k; k /= 2; } if (j < k) j += k; }}void fft(plex y[],int len,int on){ change(y,len); for(int h = 2; h <= len; h <<= 1) { plex wn(cos(-on*2*pi/h),sin(-on*2*pi/h)); for(int j = 0;j < len;j+=h) { plex w(1,0); for(int k = j;k < j+h/2;k++) { plex u = y[k]; plex t = w*y[k+h/2]; y[k] = u+t; y[k+h/2] = u-t; w = w*wn; } } } if(on == -1) for(int i = 0;i < len;i++) y[i].x /= len;}char a[maxn], b[maxn];plex x1[maxn], x2[maxn];int ans[maxn];int main () { while (scanf ("%s%s", a, b) == 2) { int len = 2, l1 = strlen (a), l2 = strlen (b); while (len < l1*2 || len < l2*2) len <<= 1; for (int i = 0; i < l1; i++) { x1[i] = plex (a[l1-1-i]-'0', 0); } for (int i = l1; i < len; i++) x1[i] = plex (0, 0); for (int i = 0; i < l2; i++) { x2[i] = plex (b[l2-1-i]-'0', 0); } for (int i = l2; i < len; i++) x2[i] = plex (0, 0); fft (x1, len, 1); fft (x2, len, 1); for (int i = 0; i < len; i++) x1[i] = x1[i]*x2[i]; fft (x1, len, -1); for (int i = 0; i < len; i++) { ans[i] = (int)(x1[i].x+0.5); } for (int i = 0; i < len; i++) { if (ans[i] >= 10) { ans[i+1] += ans[i]/10; ans[i] %= 10; } } len = l1+l2-1; while (ans[len] <= 0 && len > 0) len--; for (int i = len; i >= 0; i--) { printf ("%d", ans[i]); } printf ("\n"); } return 0;}
HDU 4609:点击打开链接
题意是给出n个长度,任取3个求能组成三角形的概率.
首先记录下每个长度的数量,然后用FFT加速求出任取两个长度下的情况,这里面有重复:
首先减去两次都取同一根的情况,减完之后的结果都/2.
最后只需要所有的情况减去不能组成三角形的情况,将最初的长度序列排序后从小到大枚举下标,假设这条边是最长边,那么如果所有两条边长度小于等于这条边的情况就应该减去,这里用前缀和统计下就好了.
#include <bits/stdc++.h>using namespace std;#define pi acos (-1)#define maxn 611111struct plex { double x, y; plex (double _x = 0.0, double _y = 0.0) : x (_x), y (_y) {} plex operator + (const plex &a) const { return plex (x+a.x, y+a.y); } plex operator - (const plex &a) const { return plex (x-a.x, y-a.y); } plex operator * (const plex &a) const { return plex (x*a.x-y*a.y, x*a.y+y*a.x); }};void change (plex y[], int len) { if (len == 1) return ; plex a1[len/2], a2[len/2]; for (int i = 0; i < len; i += 2) { a1[i/2] = y[i]; a2[i/2] = y[i+1]; } change (a1, len>>1); change (a2, len>>1); for (int i = 0; i < len/2; i++) { y[i] = a1[i]; y[i+len/2] = a2[i]; } return ;}void fft(plex y[],int len,int on){ change(y,len); for(int h = 2; h <= len; h <<= 1) { plex wn(cos(on*2*pi/h),sin(on*2*pi/h)); for(int j = 0;j < len;j+=h) { plex w(1,0); for(int k = j;k < j+h/2;k++) { plex u = y[k]; plex t = w*y[k+h/2]; y[k] = u+t; y[k+h/2] = u-t; w = w*wn; } } } if(on == -1) for(int i = 0;i < len;i++) y[i].x /= len;}long long num[maxn], sum[maxn];int a[maxn];plex x[maxn];long long n;int main () { //freopen ("in.txt", "r", stdin); int t; scanf ("%d", &t); while (t--) { scanf ("%lld", &n); long long Max = 0; memset (num, 0, sizeof num); for (int i = 1; i <= n; i++) { scanf ("%d", &a[i]); num[a[i]]++; Max = max (Max, (long long)a[i]); } Max++; int len = 2; while (len < Max*2) len <<= 1; for (int i = 0; i < len; i++) { x[i] = plex (num[i], 0); } fft (x, len, 1); for (int i = 0; i < len; i++) { x[i] = x[i]*x[i]; } fft (x, len, -1); for (int i = 0; i < len; i++) { num[i] = (long long) (x[i].x+0.5); } for (int i = 1; i <= n; i++) {//两次取同一个 num[a[i]+a[i]]--; } for (int i = 0; i < len; i++) {//重复计算 num[i] /= 2; } sum[0] = 0; for (int i = 1; i < len; i++) { sum[i] = sum[i-1]+num[i]; } sort (a+1, a+1+n); long long tot = n*(n-1)*(n-2)/6, ans = tot; for (int i = 3; i <= n; i++) { ans -= sum[a[i]]; } printf ("%.7f\n", ans*1.0/tot); } return 0;}
但是FFT有一个很致命的弱点就是会产生精度误差,在换成long double都不行的时候就需要用到NTT。
NTT就是用数论域中的原根代替FFT中的单位负根,其他的代码完全相同。
求原根的代码:
#include <cstdio>#include <cmath>#include <algorithm>#include <iostream>#include <vector>#include <cstring>using namespace std;int P;const int NUM = 32170;int prime[NUM/4];bool f[NUM];int pNum = 0;void getPrime () {//线性筛选素数 for (int i = 2; i < NUM; ++ i) { if (!f[i]) { f[i] = 1; prime[pNum++] = i; } for (int j = 0; j < pNum && i*prime[j] < NUM; ++ j) { f[i*prime[j]] = 1; if (i%prime[j] == 0) { break; } } }}long long getProduct(int a,int b,int P) {//快速求次幂mod long long ans = 1; long long tmp = a; while (b) { if (b&1) { ans = ans*tmp%P; } tmp = tmp*tmp%P; b>>=1; } return ans;}bool judge (int num) {//求num的所有的质因子 int elem[1000]; int elemNum = 0; int k = P - 1; for (int i = 0; i < pNum; ++ i) { bool flag = false; while (!(k%prime[i])) { flag = true; k /= prime[i]; } if (flag) { elem[elemNum ++] = prime[i]; } if (k == 1) { break; } if (k/prime[i]<prime[i]) { elem[elemNum ++] = prime[i]; break; } } bool flag = true; for (int i = 0; i < elemNum; ++ i) { if (getProduct (num, (P-1)/elem[i], P) == 1) { flag = false; break; } } return flag;}int main() { getPrime(); while (cin >> P) { for (int i = 2;;++i) { if (judge(i)) { cout << i<< endl; break; } } } return 0; }
HDU 1402:
随便选一个不太大的模数和他的原根就好了。
#include <cstdio>#include <cstring>#include <algorithm>#include <iostream>#include <cmath>#include <map>#include <vector>#include <stack>using namespace std;#define mod 1004535809LL#define G 3#define maxn 400005long long qpow (long long a, long long b) { long long ret=1; while (b) { if (b&1) ret = (ret*a)%mod; a = (a*a)%mod; b >>= 1; } return ret; } void change (long long y[], int len) { for(int i = 1, j = len / 2; i < len - 1; i++) { if(i < j) swap(y[i], y[j]); int k = len / 2; while(j >= k) { j -= k; k /= 2; } if(j < k) j += k; }}void ntt(long long y[], int len, int on) { change (y, len); for(int h = 2; h <= len; h <<= 1) { long long wn = qpow(G, (mod-1)/h); if(on == -1) wn = qpow(wn, mod-2); for(int j = 0; j < len; j += h) { long long w = 1; for(int k = j; k < j + h / 2; k++) { long long u = y[k]; long long t = w * y[k + h / 2] % mod; y[k] = (u + t) % mod; y[k+h/2] = (u - t + mod) % mod; w = w * wn % mod; } } } if(on == -1) { long long t = qpow (len, mod - 2); for(int i = 0; i < len; i++) y[i] = y[i] * t % mod; }}char a[maxn], b[maxn];long long x1[maxn], x2[maxn];long long ans[maxn];int main () { while (scanf ("%s%s", a, b) == 2) { int len = 2, l1 = strlen (a), l2 = strlen (b); while (len < l1*2 || len < l2*2) len <<= 1; //cout << len << endl; for (int i = 0; i < l1; i++) { x1[i] = a[l1-1-i]-'0'; } for (int i = l1; i < len; i++) x1[i] = 0; for (int i = 0; i < l2; i++) { x2[i] = b[l2-1-i]-'0'; } for (int i = l2; i < len; i++) x2[i] = 0; ntt(x1, len, 1); ntt(x2, len, 1); for (int i = 0; i < len; i++) x1[i] = x1[i]*x2[i]%mod; ntt(x1, len, -1); for (int i = 0; i < len; i++) { ans[i] = x1[i]; } for (int i = 0; i < len; i++) { if (ans[i] >= 10) { ans[i+1] += ans[i]/10; ans[i] %= 10; } } len = l1+l2-1; while (ans[len] <= 0 && len > 0) len--; for (int i = len; i >= 0; i--) { printf ("%lld", ans[i]); } printf ("\n"); } return 0;}
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