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Copy path74.search-a-2-d-matrix.go
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74.search-a-2-d-matrix.go
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/*
* @lc app=leetcode id=74 lang=golang
*
* [74] Search a 2D Matrix
*
* https://leetcode.com/problems/search-a-2d-matrix/description/
*
* algorithms
* Medium (36.54%)
* Likes: 2049
* Dislikes: 165
* Total Accepted: 344.1K
* Total Submissions: 940.4K
* Testcase Example: '[[1,3,5,7],[10,11,16,20],[23,30,34,50]]\n3'
*
* 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
*
*/
// @lc code=start
func searchMatrix(matrix [][]int, target int) bool {
return searchMatrix2(matrix, target)
}
func searchMatrix2(matrix [][]int, target int) bool {
if len(matrix) == 0 || len(matrix[0]) == 0 {
return false
}
cols := len(matrix[0])
left, right := 0, len(matrix)*cols-1
for left <= right {
mid := (left + right) / 2
curVal := matrix[mid/cols][mid%cols]
if target == curVal {
return true
}
if target > curVal {
left = mid + 1
} else {
right = mid - 1
}
}
return false
}
func searchMatrix1(matrix [][]int, target int) bool {
if len(matrix) == 0 || len(matrix[0]) == 0 {
return false
}
rowIndex, colIndex := 0, len(matrix[0])-1
for rowIndex < len(matrix) && colIndex >= 0 {
curVal := matrix[rowIndex][colIndex]
if target > curVal {
rowIndex++
} else if target < curVal {
colIndex--
} else {
return true
}
}
return false
}
// @lc code=end