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Java 使用D&;C/递归_Java_Algorithm_Recursion_Divide And Conquer_Kadanes Algorithm - Fatal编程技术网

Java 使用D&;C/递归

Java 使用D&;C/递归,java,algorithm,recursion,divide-and-conquer,kadanes-algorithm,Java,Algorithm,Recursion,Divide And Conquer,Kadanes Algorithm,我想用一个算法实现最大子数组问题,该算法显示(n log n): 查找最大连续子数组,或数组中连续元素的最大和 假设:并非所有元素都是负数 我有一些可行的解决方案;问题在于重叠的中心数组,以及指定重叠子问题的适当索引,有些数组我在另一些数组上得到了正确的答案 只是为了比较&为了检查正确性,我实现了一个称为Kadane算法的解决方案 (我认为复杂性是ω(n)) 这是Kandane的算法(http://en.wikipedia.org/wiki/Maximum_subarray_problem)

我想用一个算法实现最大子数组问题,该算法显示(n log n):

查找最大连续子数组,或数组中连续元素的最大和

假设:并非所有元素都是负数


我有一些可行的解决方案;问题在于重叠的中心数组,以及指定重叠子问题的适当索引,有些数组我在另一些数组上得到了正确的答案


只是为了比较&为了检查正确性,我实现了一个称为Kadane算法的解决方案 (我认为复杂性是ω(n))

这是Kandane的算法(http://en.wikipedia.org/wiki/Maximum_subarray_problem):


publicstaticvoidkadane(int数组[]){
int max_end_此处=0;
for(int i=0;i

我的递归实现,使用divide&conquer比较子数组的最大值,然后对具有最大值的子数组进行递归调用,直到递归结束

public static void findMaxSubArray(int[] array, int lowIndex, int highIndex) {

        int mid = 0;
        int arrayLength = 0;
        int maxEndingHere = 0;

        if (array == null) {
            throw new NullPointerException();
        } else if 
                //base condition 
           (array.length < 2 || (highIndex==lowIndex)) {
            maxLowIndex = lowIndex;
            maxHighIndex = highIndex;
            System.out.println("findMaxSubArray(int[] array, int lowIndex, int highIndex)");
            System.out.println("global Max Range, low:" + maxLowIndex + " high: " + maxHighIndex);
            System.out.println("global Max Sum:" + globalMaximum);
        } else {
            System.out.println();
            int lowMidMax = 0;
            int midHighMax = 0;
            int centerMax = 0;
            //array length is always the highest index +1 
            arrayLength = highIndex + 1;

            //if even number of elements in array 
            if (array.length % 2 == 0) {
                mid = arrayLength / 2;
                System.out.println("low: " + lowIndex + " mid: " + mid);
                for (int i = lowIndex; i < mid; i++) {
                    System.out.print(array[i] + ",");
                }
                //calculate maximum contigous array encountered so far in low to mid indexes 
                for (int i = lowIndex; i < mid; i++) {
                    maxEndingHere = maxEndingHere + array[i];
                    if (maxEndingHere < 0) {
                        maxEndingHere = 0;
                    }

                    if (globalMaximum < maxEndingHere) {
                        //new maximum found 
                        globalMaximum = lowMidMax = maxEndingHere;
                        lowIndex = i;
                    }

                }
                //end low mid calc 

                for (int i = mid; i <= highIndex; i++) {
                    System.out.print(array[i] + ",");
                }
                System.out.println("mid: " + mid + " high: " + highIndex);
                //calculate maximum contigous array encountered so far in mid to high indexes 
                for (int i = mid; i <= highIndex; i++) {
                    maxEndingHere = maxEndingHere + array[i];
                    if (maxEndingHere < 0) {
                        maxEndingHere = 0;
                    }

                    if (globalMaximum < maxEndingHere) {
                        //new maximum found 
                        globalMaximum = midHighMax = maxEndingHere;
                        mid = i;
                    }

                }
//end mid high calc
                //calculate maximum contigous array encountered so far in center array
                int lowCenter = mid -1;
                int highCenter = highIndex -1;

                System.out.println("lowCenter: " + lowCenter + " highCenter: " + highCenter);
                for (int i = lowCenter; i < highCenter; i++) {
                    System.out.print(array[i] + ",");
                }
                //calculate maximum contigous array encountered so far in low to mid indexes 
                for (int i = lowCenter; i < highCenter; i++) {
                    maxEndingHere = maxEndingHere + array[i];
                    if (maxEndingHere < 0) {
                        maxEndingHere = 0;
                    }

                    if (globalMaximum < maxEndingHere) {
                        //new max found
                        globalMaximum = centerMax = maxEndingHere;
                        lowCenter = i;

                    }

                }
                //end center calc 
                //determine which range contains the maximum sub array 
                //if lowMidMax <= midHighMax and centerMax
                if (lowMidMax >= midHighMax && lowMidMax >= centerMax) {
                    maxLowIndex = lowIndex;
                    maxHighIndex = mid;
                    //recursive call
                    findMaxSubArray(array, lowIndex, mid);
                }
                if (midHighMax >= lowMidMax && midHighMax >= centerMax) {
                    maxLowIndex = mid;
                    maxHighIndex = highIndex;
                    //recursive call
                    findMaxSubArray(array, mid, highIndex);
                }
                if (centerMax >= midHighMax && centerMax >= lowMidMax) {
                    maxLowIndex = lowCenter;
                    maxHighIndex = highCenter;
                    //recursive call
                    findMaxSubArray(array, lowCenter, highCenter);
                }

            }//end if even parent array 
            //else if uneven array 
            else {
                mid = (int) Math.floor(arrayLength / 2);
                System.out.println("low: " + lowIndex + " mid: " + mid);
                for (int i = lowIndex; i < mid; i++) {
                    System.out.print(array[i] + ",");
                }
                //calculate maximum contigous array encountered so far in low to mid indexes 
                for (int i = lowIndex; i < mid; i++) {
                    maxEndingHere = maxEndingHere + array[i];
                    if (maxEndingHere < 0) {
                        maxEndingHere = 0;
                    }

                    if (globalMaximum < maxEndingHere) {
                        //new maximum found 
                        globalMaximum = lowMidMax = maxEndingHere;
                        lowIndex = i;
                    }

                }
                //end low mid calc
                System.out.println("mid+1: " + (mid + 1) + " high: " + highIndex);
                for (int i = mid + 1; i <= highIndex; i++) {
                    System.out.print(array[i] + ",");
                }
                //calculate maximum contigous array encountered so far in mid to high indexes 
                for (int i = mid + 1; i <= highIndex; i++) {
                    maxEndingHere = maxEndingHere + array[i];
                    if (maxEndingHere < 0) {
                        maxEndingHere = 0;
                    }

                    if (globalMaximum < maxEndingHere) {
                        //new maximum found 
                        globalMaximum = midHighMax = maxEndingHere;
                        mid = i;
                    }

                }
                //end mid high calc
                //calculate maximum contigous array encountered so far in center array
                int lowCenter =  mid;
                int highCenter = highIndex -1;

                System.out.println("lowCenter: " + lowCenter + " highCenter: " + highCenter);
                for (int i = lowCenter; i < highCenter; i++) {
                    System.out.print(array[i] + ",");
                }
                //calculate maximum contigous array encountered so far in low to mid indexes 
                for (int i = lowCenter; i < highCenter; i++) {
                    maxEndingHere = maxEndingHere + array[i];
                    if (maxEndingHere < 0) {
                        maxEndingHere = 0;
                    }

                    if (globalMaximum < maxEndingHere) {
                        //new max
                        globalMaximum = centerMax = maxEndingHere;
                        lowCenter = i;
                    }

                }
                //end center calc 

                //determine which range contains the maximum sub array 
                //if lowMidMax <= midHighMax and centerMax
                  if (lowMidMax >= midHighMax && lowMidMax >= centerMax) {
                    maxLowIndex = lowIndex;
                    maxHighIndex = mid;
                    //recursive call
                    findMaxSubArray(array, lowIndex, mid);
                }
                if (midHighMax >= lowMidMax && midHighMax >= centerMax) {
                    maxLowIndex = mid;
                    maxHighIndex = highIndex;
                    //recursive call
                    findMaxSubArray(array, mid, highIndex);
                }
                if (centerMax >= midHighMax && centerMax >= lowMidMax) {
                    maxLowIndex = lowCenter;
                    maxHighIndex = highCenter;
                    //recursive call
                    findMaxSubArray(array, lowCenter, highCenter);
                }


            }//end odd parent array length 
        }//end outer else array is ok to computed 

    }//end method
公共静态void findMaxSubArray(int[]数组、int lowIndex、int highIndex){
int-mid=0;
int arrayLength=0;
int maxEndingHere=0;
if(数组==null){
抛出新的NullPointerException();
}否则如果
//基本条件
(array.length<2 | |(高索引==低索引)){
maxLowIndex=lowIndex;
maxHighIndex=highIndex;
System.out.println(“findMaxSubArray(int[]数组,int低索引,int高索引)”;
System.out.println(“全局最大范围,低:+maxLowIndex+”高:+maxHighIndex);
System.out.println(“全局最大和:+全局最大值”);
}否则{
System.out.println();
int lowMidMax=0;
int-midhigmax=0;
int centerMax=0;
//数组长度始终为最高索引+1
阵列长度=高指数+1;
//如果数组中的元素数为偶数
if(array.length%2==0){
mid=阵列长度/2;
System.out.println(“低:+lowIndex+”中:+mid”);
对于(int i=低指数;i=centerMax){
maxLowIndex=mid;
maxHighIndex=highIndex;
//递归调用
FindMax子阵列(阵列、中、高索引);
}
如果(centerMax>=中高Max&¢erMax>=低中高Max){
maxLowIndex=lowCenter;
maxHighIndex=高中心;
//递归调用
FindMax子阵列(阵列、低中心、高中心);
}
}//如果父数组为偶数,则结束
//如果阵列不均匀
否则{
中间=(内部)数学层(排列长度/2);
System.out.println(“低:+lowIndex+”中:+mid”);
对于(int i=低指数;i=centerMax){
maxLowIndex=mid;
maxHighIndex=highIndex;
//递归调用
FindMax子阵列(阵列、中、高索引);
}
如果(centerMax>=中高Max&¢erMax>=低中高Max){
maxLowIndex=lowCenter;
maxHighIndex=高中心;
//递归调用
FindMax子阵列(阵列、低中心、高中心);
}
}//结束奇数父数组长度
}//结束外部else数组是否可以计算
}//结束方法

结果:使用数组子数组问题1={1,2,3,4,5,6,7,8}

Kadane(int数组[]):36 低:0中:4 1,2,3,4,5,6,7,8中:4高:7 低中心:6高中心:6

findMaxSubArray(int[]数组、int lowIndex、int highIndex) 全球最大范围,低:7高:7 全局最大总和:36 生成成功(总时间:0秒)

问题尽管与Kadane相比,全局最大和是正确的,但低指数和高指数范围反映了最后一次重复调用

结果:使用数组子数组
public static void findMaxSubArray(int[] array, int lowIndex, int highIndex) {

        int mid = 0;
        int arrayLength = 0;
        int maxEndingHere = 0;

        if (array == null) {
            throw new NullPointerException();
        } else if 
                //base condition 
           (array.length < 2 || (highIndex==lowIndex)) {
            maxLowIndex = lowIndex;
            maxHighIndex = highIndex;
            System.out.println("findMaxSubArray(int[] array, int lowIndex, int highIndex)");
            System.out.println("global Max Range, low:" + maxLowIndex + " high: " + maxHighIndex);
            System.out.println("global Max Sum:" + globalMaximum);
        } else {
            System.out.println();
            int lowMidMax = 0;
            int midHighMax = 0;
            int centerMax = 0;
            //array length is always the highest index +1 
            arrayLength = highIndex + 1;

            //if even number of elements in array 
            if (array.length % 2 == 0) {
                mid = arrayLength / 2;
                System.out.println("low: " + lowIndex + " mid: " + mid);
                for (int i = lowIndex; i < mid; i++) {
                    System.out.print(array[i] + ",");
                }
                //calculate maximum contigous array encountered so far in low to mid indexes 
                for (int i = lowIndex; i < mid; i++) {
                    maxEndingHere = maxEndingHere + array[i];
                    if (maxEndingHere < 0) {
                        maxEndingHere = 0;
                    }

                    if (globalMaximum < maxEndingHere) {
                        //new maximum found 
                        globalMaximum = lowMidMax = maxEndingHere;
                        lowIndex = i;
                    }

                }
                //end low mid calc 

                for (int i = mid; i <= highIndex; i++) {
                    System.out.print(array[i] + ",");
                }
                System.out.println("mid: " + mid + " high: " + highIndex);
                //calculate maximum contigous array encountered so far in mid to high indexes 
                for (int i = mid; i <= highIndex; i++) {
                    maxEndingHere = maxEndingHere + array[i];
                    if (maxEndingHere < 0) {
                        maxEndingHere = 0;
                    }

                    if (globalMaximum < maxEndingHere) {
                        //new maximum found 
                        globalMaximum = midHighMax = maxEndingHere;
                        mid = i;
                    }

                }
//end mid high calc
                //calculate maximum contigous array encountered so far in center array
                int lowCenter = mid -1;
                int highCenter = highIndex -1;

                System.out.println("lowCenter: " + lowCenter + " highCenter: " + highCenter);
                for (int i = lowCenter; i < highCenter; i++) {
                    System.out.print(array[i] + ",");
                }
                //calculate maximum contigous array encountered so far in low to mid indexes 
                for (int i = lowCenter; i < highCenter; i++) {
                    maxEndingHere = maxEndingHere + array[i];
                    if (maxEndingHere < 0) {
                        maxEndingHere = 0;
                    }

                    if (globalMaximum < maxEndingHere) {
                        //new max found
                        globalMaximum = centerMax = maxEndingHere;
                        lowCenter = i;

                    }

                }
                //end center calc 
                //determine which range contains the maximum sub array 
                //if lowMidMax <= midHighMax and centerMax
                if (lowMidMax >= midHighMax && lowMidMax >= centerMax) {
                    maxLowIndex = lowIndex;
                    maxHighIndex = mid;
                    //recursive call
                    findMaxSubArray(array, lowIndex, mid);
                }
                if (midHighMax >= lowMidMax && midHighMax >= centerMax) {
                    maxLowIndex = mid;
                    maxHighIndex = highIndex;
                    //recursive call
                    findMaxSubArray(array, mid, highIndex);
                }
                if (centerMax >= midHighMax && centerMax >= lowMidMax) {
                    maxLowIndex = lowCenter;
                    maxHighIndex = highCenter;
                    //recursive call
                    findMaxSubArray(array, lowCenter, highCenter);
                }

            }//end if even parent array 
            //else if uneven array 
            else {
                mid = (int) Math.floor(arrayLength / 2);
                System.out.println("low: " + lowIndex + " mid: " + mid);
                for (int i = lowIndex; i < mid; i++) {
                    System.out.print(array[i] + ",");
                }
                //calculate maximum contigous array encountered so far in low to mid indexes 
                for (int i = lowIndex; i < mid; i++) {
                    maxEndingHere = maxEndingHere + array[i];
                    if (maxEndingHere < 0) {
                        maxEndingHere = 0;
                    }

                    if (globalMaximum < maxEndingHere) {
                        //new maximum found 
                        globalMaximum = lowMidMax = maxEndingHere;
                        lowIndex = i;
                    }

                }
                //end low mid calc
                System.out.println("mid+1: " + (mid + 1) + " high: " + highIndex);
                for (int i = mid + 1; i <= highIndex; i++) {
                    System.out.print(array[i] + ",");
                }
                //calculate maximum contigous array encountered so far in mid to high indexes 
                for (int i = mid + 1; i <= highIndex; i++) {
                    maxEndingHere = maxEndingHere + array[i];
                    if (maxEndingHere < 0) {
                        maxEndingHere = 0;
                    }

                    if (globalMaximum < maxEndingHere) {
                        //new maximum found 
                        globalMaximum = midHighMax = maxEndingHere;
                        mid = i;
                    }

                }
                //end mid high calc
                //calculate maximum contigous array encountered so far in center array
                int lowCenter =  mid;
                int highCenter = highIndex -1;

                System.out.println("lowCenter: " + lowCenter + " highCenter: " + highCenter);
                for (int i = lowCenter; i < highCenter; i++) {
                    System.out.print(array[i] + ",");
                }
                //calculate maximum contigous array encountered so far in low to mid indexes 
                for (int i = lowCenter; i < highCenter; i++) {
                    maxEndingHere = maxEndingHere + array[i];
                    if (maxEndingHere < 0) {
                        maxEndingHere = 0;
                    }

                    if (globalMaximum < maxEndingHere) {
                        //new max
                        globalMaximum = centerMax = maxEndingHere;
                        lowCenter = i;
                    }

                }
                //end center calc 

                //determine which range contains the maximum sub array 
                //if lowMidMax <= midHighMax and centerMax
                  if (lowMidMax >= midHighMax && lowMidMax >= centerMax) {
                    maxLowIndex = lowIndex;
                    maxHighIndex = mid;
                    //recursive call
                    findMaxSubArray(array, lowIndex, mid);
                }
                if (midHighMax >= lowMidMax && midHighMax >= centerMax) {
                    maxLowIndex = mid;
                    maxHighIndex = highIndex;
                    //recursive call
                    findMaxSubArray(array, mid, highIndex);
                }
                if (centerMax >= midHighMax && centerMax >= lowMidMax) {
                    maxLowIndex = lowCenter;
                    maxHighIndex = highCenter;
                    //recursive call
                    findMaxSubArray(array, lowCenter, highCenter);
                }


            }//end odd parent array length 
        }//end outer else array is ok to computed 

    }//end method
 public static void Kadane(int array[]) {
        int max_ending_here = 0;
        for (int i = 0; i < array.length; i++) {
            max_ending_here = Math.max(array[i], max_ending_here + array[i]);
            max_so_far = Math.max(max_so_far, max_ending_here);
        }
        System.out.println("Kadane(int array []): " + max_so_far);
    }
[lowIndex,mid)
[mid, highIndex]
[lowCenter, highCenter]
/**
 * @author : Yash M. Sawant
 */




#include <stdio.h>
#include <stdlib.h>
#include <time.h>

#define MAXLENGTH 17
#define MINVALUE -999



int main() {
    int i;

    int s[MAXLENGTH]; s[0] = 0;
    int c[MAXLENGTH] = {0, 13, -3, -25, 20, -3, -16, -23, 18, 20, -7, 12, -5, -22, 15, -4, 7};
    int pv = 0, p = -1, tp = -1;
    for(i = 1 ; i < MAXLENGTH ; i ++) {
        printf("%4d ", c[i]);
        if(s[i - 1] < pv + c[i]) {
            s[i] = pv + c[i];
            pv = pv + c[i];
            if(tp > p) {
                p = tp;
            }
        } else {
            s[i] = s[i - 1];
            pv = pv + c[i];
            if(pv < 0) {
                pv = 0; tp = i;
            }
        }
    }
    printf("\n");
    for(i = 0 ; i < MAXLENGTH ; i ++) {
        printf("%4d ", s[i]);
    }
    printf("\n");
    printf("Max Sub Array = %d and Starts at %d ", s[MAXLENGTH - 1], p);
    return 0;

}
// A Divide and Conquer based Java solution
// To find a subarray with the maximum sum

import java.util.Arrays;
import java.util.Scanner;

class MaxSubArray {

    private static Result maxCrossingSum(int arr[], int l, int m, int h) {

        int sum = 0;
        int maxLeft = 0;
        int leftSum = Integer.MIN_VALUE;
        for (int i = m; i >= l; i--) {
            sum = sum + arr[i];
            if (sum > leftSum) {
                leftSum = sum;
                maxLeft = i;
            }
        }

        sum = 0;
        int rightSum = Integer.MIN_VALUE;
        int maxRight = arr.length - 1;
        for (int i = m + 1; i <= h; i++) {
            sum = sum + arr[i];
            if (sum > rightSum) {
                rightSum = sum;
                maxRight = i;
            }
        }

        return new Result(maxLeft, maxRight, leftSum + rightSum);
    }

    private static Result maxSubArray(int[] A, int low, int high) {

        if (low == high) {
            return new Result(low, high, A[low]);
        }

        int mid = (low + high) / 2;

        Result leftSubArray = maxSubArray(A, low, mid);
        Result rightSubArray = maxSubArray(A, mid + 1, high);
        Result maxCrossingSubArray = maxCrossingSum(A, low, mid, high);

        int leftSum = leftSubArray.sum;
        int rightSum = rightSubArray.sum;
        int crossSum = maxCrossingSubArray.sum;

        if (leftSum > rightSum && leftSum > crossSum) {
            return new Result(leftSubArray.low, leftSubArray.high, leftSubArray.sum);
        } else if (rightSum > leftSum && rightSum > crossSum) {
            return new Result(rightSubArray.low, rightSubArray.high, rightSubArray.sum);
        } else {
            return new Result(maxCrossingSubArray.low, maxCrossingSubArray.high,
                maxCrossingSubArray.sum);
        }
    }

    public static class Result {

        public int low;
        public int high;
        public int sum;
        public Result(int low, int high, int sum) {
            this.low = low;
            this.high = high;
            this.sum = sum;
        }

    }

    /* Driver program to test maxSubArray */
    public static Result maxSubArray(int[] arr) {
        return maxSubArray(arr, 0, arr.length - 1);
    }

    public static void main(String[] args) {

        Scanner sc = new Scanner(System.in);
        String[] arrString = sc.nextLine().split(" ");

        int n = arrString.length;

        int[] arr = new int[n];
        for (int i = 0; i < n; i++) {
            arr[i] = Integer.parseInt(arrString[i]);
        }

        Result result = maxSubArray(arr);

        int[] subArray = new int[result.high - result.low + 1];
        int j = 0;
        for (int i = result.low; i <= result.high; i++) {
            subArray[j++] = arr[i];
        }

        System.out.println(Arrays.toString(subArray));
        System.out.println("Sum : " + result.sum);
    }
}