BZOJ 2179 FFT快速傅立叶 FFT

标签：bzoj   fft   快速傅立叶变换   高精度乘法   

贴个渣模板

CODE：

#include <cmath>
#include <cstdio>
#include <cstring>
#include <iostream>
#include <algorithm>
#define MAX 140010
#define PI 3.1415926535897932384626
using namespace std;

struct Complex{
	double real,imag;
	
	Complex(double _,double __):real(_),imag(__) {}
	Complex() {}
	Complex operator +(const Complex &a)const {
		return Complex(real + a.real,imag + a.imag);
	}
	Complex operator -(const Complex &a)const {
		return Complex(real - a.real,imag - a.imag);
	}
	Complex operator *(const Complex &a)const {
		return Complex(real * a.real - imag * a.imag,real * a.imag + imag * a.real);
	}
	void operator *=(const Complex &a) {
		*this = *this * a;
	}
	void Read() {
		int temp;
		scanf("%1d",&temp);
		real = temp;
	}
}a[MAX],b[MAX],ans[MAX];

int n;
int out[MAX];

void FFT(Complex x[],int n,int flag)
{
	static Complex temp[MAX];
	if(n == 1)	return ;
	for(int i = 0; i < n; i += 2)
		temp[i >> 1] = x[i],temp[(i + n) >> 1] = x[i + 1];
	memcpy(x,temp,sizeof(Complex) * n);
	Complex *l = x,*r = x + (n >> 1);
	
	FFT(l,n >> 1,flag),FFT(r,n >> 1,flag);
	
	Complex unit(cos(flag * 2 * PI / n),sin(flag * 2 * PI / n)),w(1.0,.0);
	for(int i = 0; i < (n >> 1); ++i,w *= unit)
		temp[i] = l[i] + w * r[i],temp[i + (n >> 1)] = l[i] - w * r[i];
	memcpy(x,temp,sizeof(Complex) * n);
}

int main()
{
	cin >> n;
	for(int i = n - 1; ~i; --i)
		a[i].Read();
	for(int i = n - 1; ~i; --i)
		b[i].Read();
	int l;
	for(l = 1; l <= (n << 1); l <<= 1);
	FFT(a,l,1),FFT(b,l,1);
	for(int i = 0; i < l; ++i)
		ans[i] = a[i] * b[i];
	FFT(ans,l,-1);
	for(int i = 0; i < l; ++i)
		out[i] = int(ans[i].real / l + .5);
	int temp = 0;
	for(int i = 0; i < l; ++i) {
		out[i] += temp;
		temp = out[i] / 10;
		out[i] %= 10;
	}
	while(temp)	out[l++] = temp % 10,temp /= 10;
	while(!out[l - 1])	--l;
	for(int i = l - 1; ~i; --i)
		printf("%d",out[i]);
	return 0;
}

BZOJ 2179 FFT快速傅立叶 FFT

标签：bzoj   fft   快速傅立叶变换   高精度乘法   

原文地址：http://blog.csdn.net/jiangyuze831/article/details/42168159