Max Sum of Rectangle No Larger Than K

Description

Given a non-empty 2D matrix matrix and an integer k, find the max sum of a rectangle in the matrix such that its sum is no larger than k.

Example: Given matrix = [ [1, 0, 1], [0, -2, 3] ] k = 2 The answer is 2. Because the sum of rectangle [[0, 1], [-2, 3]] is 2 and 2 is the max number no larger than k (k = 2).

Note: The rectangle inside the matrix must have an area > 0. What if the number of rows is much larger than the number of columns? Credits: Special thanks to @fujiaozhu for adding this problem and creating all test cases.

Hint

Train of Thought

Code

/* first  consider the situation matrix is 1D
we can save every sum of 0~i(0<=i<len) and binary search previous sum to find 
possible result for every index, time complexity is O(NlogN).
so in 2D matrix, we can sum up all values from row i to row j and create a 1D array 
to use 1D array solution.
If col number is less than row number, we can sum up all values from col i to col j 
then use 1D array solution.

*/

    public int maxSumSubmatrix(int[][] matrix, int target) {
int row = matrix.length;
if(row==0)return 0;
int col = matrix[0].length;
int m = Math.min(row,col);
int n = Math.max(row,col);
//indicating sum up in every row or every column
boolean colIsBig = col>row;
int res = Integer.MIN_VALUE;
for(int i = 0;i<m;i++){
    int[] array = new int[n];
    // sum from row j to row i
    for(int j = i;j>=0;j--){
        int val = 0;
        TreeSet<Integer> set = new TreeSet<Integer>();
        set.add(0);
        //traverse every column/row and sum up
        for(int k = 0;k<n;k++){
            array[k]=array[k]+(colIsBig?matrix[j][k]:matrix[k][j]);
            val = val + array[k];
            //use  TreeMap to binary search previous sum to get possible result 
            Integer subres = set.ceiling(val-target);
            if(null!=subres){
                res=Math.max(res,val-subres);
            }
            set.add(val);
        }
    }
}
return res;

} 6 months ago reply quote

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