Write an efficient algorithm that searches for a value in an m x n matrix, return the occurrence of it.
This matrix has the following properties:
* Integers in each row are sorted from left to right.
* Integers in each column are sorted from up to bottom.
* No duplicate integers in each row or column.
Example
Consider the following matrix:
[
[1, 3, 5, 7],
[2, 4, 7, 8],
[3, 5, 9, 10]
]
Given target = 3, return 2.
Challenge
O(m+n) time and O(1) extra space
Solution:
1 public class Solution { 2 /** 3 * @param matrix: A list of lists of integers 4 * @param: A number you want to search in the matrix 5 * @return: An integer indicate the occurrence of target in the given matrix 6 */ 7 public int searchMatrix(ArrayList<ArrayList<Integer>> matrix, int target) { 8 int m = matrix.size(); 9 if (m==0) return 0; 10 int n = matrix.get(0).size(); 11 if (n==0) return 0; 12 13 return searchMatrixRecur(matrix,target,0,0,m-1,n-1); 14 } 15 16 public int searchMatrixRecur(ArrayList<ArrayList<Integer>> matrix, int target, int x1, int y1, int x2, int y2){ 17 if (x2<x1 || y2<y1) return 0; 18 19 if (x1==x2 && y1==y2) 20 if (matrix.get(x1).get(y1)==target) return 1; 21 else return 0; 22 23 int midX = (x1+x2)/2; 24 int midY = (y1+y2)/2; 25 int midVal = matrix.get(midX).get(midY); 26 int res = 0; 27 28 if (midVal==target){ 29 //We have to search all the four sub matrix. 30 res++; 31 res += searchMatrixRecur(matrix,target,x1,y1,midX-1,midY-1); 32 res += searchMatrixRecur(matrix,target,midX+1,midY+1,x2,y2); 33 res += searchMatrixRecur(matrix,target,(x1+x2)/2+1,y1,x2,(y1+y2)/2-1); 34 res += searchMatrixRecur(matrix,target,x1,(y1+y2)/2+1,(x1+x2)/2-1,y2); 35 } else if (midVal>target) { 36 int leftX = (x1+x2)/2; 37 int leftY = y1; 38 int upX = x1; 39 int upY = (y1+y2)/2; 40 if (target==matrix.get(leftX).get(leftY)) res++; 41 if (target==matrix.get(upX).get(upY)) res++; 42 if (target <= matrix.get(leftX).get(leftY) && target <=matrix.get(upX).get(upY)){ 43 res += searchMatrixRecur(matrix,target,x1,y1,midX-1,midY-1); 44 } else if (target <= matrix.get(leftX).get(leftY)){ 45 res += searchMatrixRecur(matrix,target,x1,y1,(x1+x2)/2-1,y2); 46 } else if (target <= matrix.get(upX).get(upY)){ 47 res += searchMatrixRecur(matrix,target,x1,y1,x2,(y1+y2)/2-1); 48 } else { 49 res += searchMatrixRecur(matrix,target,x1,y1,x2,(y1+y2)/2-1); 50 res += searchMatrixRecur(matrix,target,upX,upY,(x1+x2)/2-1,y2); 51 } 52 } else { 53 int rightX = (x1+x2)/2; 54 int rightY = y2; 55 int lowX = x2; 56 int lowY = (y1+y2)/2; 57 if (target==matrix.get(rightX).get(rightY)) res++; 58 if (target==matrix.get(lowX).get(lowY)) res++; 59 if (target >= matrix.get(rightX).get(rightY) && target >= matrix.get(lowX).get(lowY)){ 60 res += searchMatrixRecur(matrix,target,midX+1,midY+1,x2,y2); 61 } else if (target >= matrix.get(rightX).get(rightY)){ 62 res += searchMatrixRecur(matrix,target, (x1+x2)/2+1,y1,x2,y2); 63 } else if (target >= matrix.get(lowX).get(lowY)){ 64 res += searchMatrixRecur(matrix,target, x1, (y1+y2)/2+1, x2, y2); 65 } else { 66 res += searchMatrixRecur(matrix,target, (x1+x2)/2+1,y1, lowX, lowY); 67 res += searchMatrixRecur(matrix,target, x1, (y1+y2)/2+1, x2, y2); 68 } 69 70 } 71 return res; 72 } 73 }
时间: 2024-10-19 06:06:28