Write an efficient algorithm that searches for a target
value in an m x n
integer matrix
. The matrix
has the following properties:
- Integers in each row are sorted in ascending from left to right.
- Integers in each column are sorted in ascending from top to bottom.
Example 1:
Input: matrix = [[1,4,7,11,15],[2,5,8,12,19],[3,6,9,16,22],[10,13,14,17,24],[18,21,23,26,30]], target = 5
Output: true
Example 2:
Input: matrix = [[1,4,7,11,15],[2,5,8,12,19],[3,6,9,16,22],[10,13,14,17,24],[18,21,23,26,30]], target = 20
Output: false
Constraints:
m == matrix.length
n == matrix[i].length
1 <= n, m <= 300
-109 <= matix[i][j] <= 109
- All the integers in each row are sorted in ascending order.
- All the integers in each column are sorted in ascending order.
-109 <= target <= 109
Result:
SuccessDetailsRuntime: 10 ms, faster than 17.72% of Java online submissions for Search a 2D Matrix II.Memory Usage: 51.8 MB, less than 5.22% of Java online submissions for Search a 2D Matrix II.
Solution:
Runtime Complexity: O(nlogn)
Space complexity: O(1)
class Solution {public boolean searchMatrix(int[][] matrix, int target) {
//binary search horizontally
//check if range is good
//binary search vertically
//if found -> wuju
//else -> move
for(int i =matrix.length-1; i >=0 ;i--){
if( isInRange(matrix[i],target) ){
//binary vertically
int pos = binaryVertical(matrix[i],target);
if(pos != -1){
return true;
}
}
}
return false;
}
boolean isInRange(int[] matrix, int target){
return ( (matrix[0] <= target) && (matrix[matrix.length-1] >= target) );
}
int binaryVertical(int[] matrix, int target){
int l=0,
r=matrix.length-1;
while(l <= r ){
int m = l+(r-l)/2;
if(matrix[m] == target ){
return m;
}
if(matrix[m] < target){ // my target is larger, move left pointer to right
l = m + 1;
}else{ // my target is smaller, move right pointer to left
r = m - 1;
}
}
return -1;
}
}
A more appropriate solution could be:
Result:
SuccessDetailsRuntime: 10 ms, faster than 17.72% of Java online submissions for Search a 2D Matrix II.Memory Usage: 51.2 MB, less than 11.01% of Java online submissions for Search a 2D Matrix II.
Solution:
Runtime Complexity: O(n+m)
Space complexity: O(1)
class Solution {public boolean searchMatrix(int[][] matrix, int target) {
int i =0,
j = matrix[0].length-1;
while( i < matrix.length && j >=0 ){
if(target == matrix[i][j]){
return true;
}
if(target < matrix[i][j]){
j--;
}else{
i++;
}
}
return false;
}
}