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
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。
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;
}
};
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;
}
}
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。