Write an efficient algorithm that searches for a value in an m x n matrix. This matrix has the following properties:
- Integers in each row are sorted from left to right.
- The first integer of each row is greater than the last integer of the previous row.
Example 1:
Input: matrix = [ [1, 3, 5, 7], [10, 11, 16, 20], [23, 30, 34, 50] ] target = 3 Output: true
Example 2:
Input: matrix = [ [1, 3, 5, 7], [10, 11, 16, 20], [23, 30, 34, 50] ] target = 13 Output: false
Main thing to note in this problem : row = pivot // cols and col = pivot % cols
class Solution:
def searchMatrix(self, matrix: List[List[int]], target: int) -> bool:
if not matrix or len(matrix) == 0:
return False
rows = len(matrix)
cols = len(matrix[0])
if rows == 1 and cols ==1:
if target == matrix[rows-1][cols-1]:
return True
else:
return False
left = 0
right = rows * cols -1
while left <= right:
pivot = left + (right-left) // 2
if target == matrix[pivot // cols][pivot % cols]:
return True
elif target > matrix[pivot // cols][pivot % cols]:
left = pivot + 1
else:
right = pivot - 1
return False
Time Complexity : O(logn(mn))
Space Complexity : O(1)
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