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[Leetcode] Binary search, Divide and conquer--240. Search a 2D Matrix II

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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 in ascending from left to right.
  • Integers in each column are sorted in ascending from top to bottom.

For example,

Consider the following 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]
]

Given target = 5, return true.

Given target = 20, return false.

Solution:

1. 1st idea use one binary search

iterate every rows , binary search from row i to find the insertion position p (bisect_right)

m = len(matrix), n = len(matrix[0]) time complexity O(m*logn) 技術分享
 1  if len(matrix) == 0 or len(matrix[0]) == 0:
2 return False 3 i = 0 4 while (i < len(matrix)): 5 pos = bisect_right(matrix[i], target) #use binary search 6 #print(" aaas: ",i, pos-1) 7 if matrix[i][pos-1] == target: 8 return True 9 i += 1 10
return False
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2. 2nd utilize the ordered row and column, start from bottom left value v, if v is bigger than target, then go the upper column, else go the right row. time complexity o(m+n)

技術分享
 1 if len(matrix) == 0 or len(matrix[0]) == 0:
 2             return False
 3         m = len(matrix)
 4         n = len(matrix[0])
 5         i = m-1             #row
 6         j = 0           #column
 7         while ( i >= 0 and j <= n-1):
 8             if matrix[i][j] == target:
 9                 return True
10             elif matrix[i][j] > target:
11                 i -= 1
12             else:
13                 j += 1
14         return False
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3. we can also use divide and conquer:

reference:

http://www.geeksforgeeks.org/divide-conquer-set-6-search-row-wise-column-wise-sorted-2d-array/

[Leetcode] Binary search, Divide and conquer--240. Search a 2D Matrix II