[LeetCode49]Maximum Subarray

Find the contiguous subarray within an array (containing at least one number) which has the largest sum.

For example, given the array [−2,1,−3,4,−1,2,1,−5,4],
the contiguous subarray [4,−1,2,1] has the largest sum = 6.

click to show more practice.

More practice:

If you have figured out the O(n) solution, try coding another solution using the divide and conquer approach, which is more subtle.

Analysis:

O(n)就是一维DP.
假设A(0, i)区间存在k，使得[k, i]区间是以i结尾区间的最大值， 定义为Max[i], 在这里，当求取Max[i+1]时，
Max[i+1] = Max[i] + A[i+1],  if (Max[i] + A[i+1] >0)
                = 0, if(Max[i]+A[i+1] <0)，如果和小于零，A[i+1]必为负数，没必要保留，舍弃掉
然后从左往右扫描，求取Max数字的最大值即为所求。

Java

public int maxSubArray(int[] A) {        int max = 0;int res = Integer.MIN_VALUE;for(int i=0;i<A.length;i++){max = max>=0 ? (max+A[i]):A[i];res = Math.max(max, res);}return res;    }

c++

int maxSubArray(int A[], int n) {        int sum = 0;    int res = INT_MIN;    for(int i=0;i<n;i++){        sum = sum>=0?(sum+A[i]):A[i];        res = max(sum,res);    }    return res;    }

Solution2:

采用Divide & Conquer。这就暗示了，解法必然是二分。分析如下：

假设数组A[left, right]存在最大值区间[i, j](i>=left & j<=right)，以mid = (left + right)/2 分界，无非以下三种情况：

subarray A[i,..j] is
(1) Entirely in A[low,mid-1]
(2) Entirely in A[mid+1,high]
(3) Across mid
对于(1) and (2)，直接递归求解即可，对于(3)，则需要以min为中心，向左及向右扫描求最大值，意味着在A[left, Mid]区间中找出A[i..mid], 而在A[mid+1, right]中找出A[mid+1..j]，两者加和即为(3)的解。

Java

public int maxSubArray(int[] A) {        int res  = Integer.MIN_VALUE;return getMaxSubarray(A, 0, A.length-1, res);    }    public int getMaxSubarray(int A[],int left, int right, int smax){    if(left>right)        return Integer.MIN_VALUE;    int mid = (left+right)/2;    int lmax = getMaxSubarray(A,left,mid-1,smax);    int rmax = getMaxSubarray(A,mid+1,right,smax);    smax = Math.max(lmax,smax);    smax = Math.max(rmax,smax);    int sum =0, mlmax = 0;    for(int i=mid-1;i>=left;i--){        sum+=A[i];        if(sum>mlmax)            mlmax = sum;    }    sum = 0;    int mrmax = 0;    for(int i=mid+1;i<=right;i++){        sum+=A[i];        if(sum>mrmax)            mrmax = sum;    }    smax = Math.max(smax, mlmax+mrmax+A[mid]);    return smax;}

c++

int getMaxSubarray(int A[],int left, int right, int smax){    if(left>right)        return INT_MIN;    int mid = (left+right)/2;    int lmax = getMaxSubarray(A,left,mid-1,smax);    int rmax = getMaxSubarray(A,mid+1,right,smax);    smax = max(lmax,smax);    smax = max(rmax,smax);    int sum =0, mlmax = 0;    for(int i=mid-1;i>=left;i--){        sum+=A[i];        if(sum>mlmax)            mlmax = sum;    }    sum = 0;    int mrmax = 0;    for(int i=mid+1;i<=right;i++){        sum+=A[i];        if(sum>mrmax)            mrmax = sum;    }    smax = max(smax, mlmax+mrmax+A[mid]);    return smax;}    int maxSubArray(int A[], int n) {        int maxv = INT_MIN;        return getMaxSubarray(A,0,n-1,maxv);    }