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  • [LeetCode] 74. Search a 2D Matrix 搜索一个二维矩阵

    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.

    For example,

    Consider the following matrix:

    [
      [1,   3,  5,  7],
      [10, 11, 16, 20],
      [23, 30, 34, 50]
    ]
    

    Given target = 3, return true.

    在一个给定的矩阵里查找某一个值,矩阵有如下特点:每一行里的整数都是按从左到右排序;每一行的第一数都大于前一行的最后一个数。

    解法:二分法Binary Search,利用给定矩阵的特点,Z形大小顺序排列,把矩阵变成数组,使用二分法查找,或者直接在矩阵上使用二分法。

    Python:

    class Solution(object):
        def searchMatrix(self, matrix, target):
            """
            :type matrix: List[List[int]]
            :type target: int
            :rtype: bool
            """
            if not matrix:
                return False
            
            m, n = len(matrix), len(matrix[0])
            left, right = 0, m * n
            while left < right:
                mid = left + (right - left) / 2
                if matrix[mid / n][mid % n] >= target:
                    right = mid
                else:
                    left = mid + 1
    
            return left < m * n and matrix[left / n][left % n] == target
    

    C++:  Time: O(logm + logn), Space: O(1)

    class Solution {
    public:
        bool searchMatrix(vector<vector<int>>& matrix, int target) {
            if (matrix.empty()) {
                return false;
            }
    
            // Treat matrix as 1D array.
            const int m = matrix.size();
            const int n = matrix[0].size();
            int left = 0;
            int right = m * n - 1;
    
            // Find min of left s.t.  matrix[left / n][left % n] >= target
            while (left <= right) {
                int mid = left + (right - left) / 2;
                if (matrix[mid / n][mid % n] >= target) {
                    right = mid - 1;
                } else {
                    left = mid + 1;
                }
            }
    
            // Check if matrix[left / n][left % n] equals to target.
            if (left != m * n && matrix[left / n][left % n] == target) {
                return true;
            }
    
            return false;
        }
    };  

    C++:

    class Solution {
    public:
        bool searchMatrix(vector<vector<int> > &matrix, int target) {
            if (matrix.empty() || matrix[0].empty()) return false;
            if (target < matrix[0][0] || target > matrix.back().back()) return false;
            int m = matrix.size(), n = matrix[0].size();
            int left = 0, right = m * n - 1;
            while (left <= right) {
                int mid = (left + right) / 2;
                if (matrix[mid / n][mid % n] == target) return true;
                else if (matrix[mid / n][mid % n] < target) left = mid + 1;
                else right = mid - 1;
            }
            return false;
        }
    };
    

      

      

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  • 原文地址:https://www.cnblogs.com/lightwindy/p/8628263.html
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