Solution 1
- TimeO(log(m * n))
- SpaceO(1)
where, m is number of rows, and n is number of columns of the matrix
Solved in 9 min, all by yourself, Good job!
Python
class Solution:
'''
Time Complexity: O(log(m * n))
Space Complexity: O(1)
where, m is number of rows, and n is number of columns of the matrix
Solved in 9 min, all by yourself, Good job!
'''
def searchMatrix(self, matrix: List[List[int]], target: int) -> bool:
m, n = len(matrix), len(matrix[0])
l, r = 0, m*n - 1
while l <= r:
mid = (l+r)//2
i, j = mid//n, mid%n
if matrix[i][j] == target:
return True
elif target < matrix[i][j]:
r = mid-1
else:
l = mid+1
return False
import math