为什么我的memoized计算失败了?

时间:2016-08-30 13:55:16

标签: algorithm dynamic-programming floating-accuracy

我试图将二维递归问题转化为动态编程问题。但结果却不同。

以下是代码:

import edu.princeton.cs.algs4.*;
import java.util.Arrays;

public class Test {

    public static double binomial(int N, int k, double p) {
        if(N == 0 && k == 0) return 1.0;
        if(N < 0 || k < 0) return 0.0;
        return (1 - p)*binomial(N-1, k, p) + p*binomial(N-1, k-1, p);
    }

    public static double binomialm(int N, int k, double p) {
        if(N < 0 || k < 0) return 0.0;

        double[][] memory = new double[N+1][k+1];
        memory[0][0] = 1.0;
        memory[1][0] = 1 - p;
        memory[0][1] = 0.0;

        for(int i = 1; i <= N; i++) {
            for(int j = 1; j <= k; j++) {
                memory[i][j] = (1 - p)*memory[i-1][j] + p*memory[i-1][j-1];
            }
        }

        return memory[N][k];
    }

    static public void main(String args[]) {
        long stime, stime1, etime, etime1;
        double r, r1;
        stime = System.currentTimeMillis();
        r = binomial(10, 5, 0.25);
        etime = System.currentTimeMillis();
        System.out.println("Regular binomial: result = " + r + ", time = " + (etime - stime));
        stime1 = System.currentTimeMillis();
        r1 = binomialm(10, 5, 0.25);
        etime1 = System.currentTimeMillis();
        System.out.println("Memoized binomial: result = " + r1 + ", time = " + (etime1 - stime1));
    }
}

我真的无法弄清楚为什么结果会有所不同。他们在这里:

常规二项式:结果= 0.058399200439453125,时间= 0

记忆二项式:结果= 0.045421600341796875,时间= 0

我缺少一些浮点魔法吗?

1 个答案:

答案 0 :(得分:1)

在您的memoized版本中,您的内部循环从j = 1开始。因此,(2,0),(3,0),(4,0),......的值永远不会改变,它们在创建双数组时仍然是0.0。它们应该是1.0,-1.0,1.0,......

for(int i = 1; i <= N; i++) {
    memory[i][0] = (1 - p)*memory[i-1][0];
    for(int j = 1; j <= k; j++) {
        memory[i][j] = (1 - p)*memory[i-1][j] + p*memory[i-1][j-1];
    }
}