algorithm-reading

Search a 2D Matrix II

Source

Write an efficient algorithm that searches for a value in an m x n matrix, return the occurrence of it.

This matrix has the following properties:

    * Integers in each row are sorted from left to right.

    * Integers in each column are sorted from up to bottom.

    * No duplicate integers in each row or column.

Example
Consider the following matrix:

[

    [1, 3, 5, 7],

    [2, 4, 7, 8],

    [3, 5, 9, 10]

]

Given target = 3, return 2.

Challenge
O(m+n) time and O(1) extra space

题解 - 自右上而左下

  1. 复杂度要求——O(m+n) time and O(1) extra space,同时输入只满足自顶向下和自左向右的升序,行与行之间不再有递增关系,与上题有较大区别。时间复杂度为线性要求,因此可从元素排列特点出发,从一端走向另一端无论如何都需要m+n步,因此可分析对角线元素。
  2. 首先分析如果从左上角开始搜索,由于元素升序为自左向右和自上而下,因此如果target大于当前搜索元素时还有两个方向需要搜索,不太合适。
  3. 如果从右上角开始搜索,由于左边的元素一定不大于当前元素,而下面的元素一定不小于当前元素,因此每次比较时均可排除一列或者一行元素(大于当前元素则排除当前行,小于当前元素则排除当前列,由矩阵特点可知),可达到题目要求的复杂度。

在遇到之前没有遇到过的复杂题目时,可先使用简单的数据进行测试去帮助发现规律。

C++

class Solution {
public:
    /**
     * @param matrix: A list of lists of integers
     * @param target: An integer you want to search in matrix
     * @return: An integer indicate the total occurrence of target in the given matrix
     */
    int searchMatrix(vector<vector<int> > &matrix, int target) {
        if (matrix.empty() || matrix[0].empty()) {
            return 0;
        }

        const int ROW = matrix.size();
        const int COL = matrix[0].size();

        int row = 0, col = COL - 1;
        int occur = 0;
        while (row < ROW && col >= 0) {
            if (target == matrix[row][col]) {
                ++occur;
                --col;
            } else if (target < matrix[row][col]){
                --col;
            } else {
                ++row;
            }
        }

        return occur;
    }
};

Java

public class Solution {
    /**
     * @param matrix: A list of lists of integers
     * @param: A number you want to search in the matrix
     * @return: An integer indicate the occurrence of target in the given matrix
     */
    public int searchMatrix(int[][] matrix, int target) {
        int occurence = 0;

        if (matrix == null || matrix.length == 0) {
            return occurence;
        }
        if (matrix[0] == null || matrix[0].length == 0) {
            return occurence;
        }

        int row = matrix.length - 1;
        int column = matrix[0].length - 1;
        int index_row = 0, index_column = column;
        int number;

        if (target < matrix[0][0] || target > matrix[row][column]) {
            return occurence;
        }

        while (index_row < row + 1 && index_column + 1 > 0) {
            number = matrix[index_row][index_column];
            if (target == number) {
                occurence++;
                index_column--;
            } else if (target < number) {
                index_column--;
            } else if (target > number) {
                index_row++;
            }
        }

        return occurence;
    }
}

源码分析

  1. 首先对输入做异常处理,不仅要考虑到matrix为空串,还要考虑到matrix[0]也为空串。
  2. 注意循环终止条件。
  3. 在找出target后应继续向左搜索其他可能相等的元素,下方比当前元素大,故排除此列。

Reference

Searching a 2D Sorted Matrix Part II | LeetCode