foolish fly fox's blog

--Stay hungry, stay foolish.
--Forever young, forever weeping.



博客主页为:https://foolishflyfox.github.io/CsLearnNote/

240. Search a 2D Matrix II

https://leetcode.com/problems/search-a-2d-matrix-ii/description/

Description

Write an efficient algorithm that searches for a value in an m x n matrix. This matrix has the following properties:

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

完全递归的搜索

class Solution(object):
    def recursive_f(self, r_index, c_index):
        if (r_index>=self.rows or c_index>=self.columns or
           self.matrix[r_index][c_index]>self.target):
            return False
        if self.matrix[r_index][c_index]==self.target:
            return True
        return (self.recursive_f(r_index,c_index+1) or 
                self.recursive_f(r_index+1,c_index))
    def searchMatrix(self, matrix, target):
        """
        :type matrix: List[List[int]]
        :type target: int
        :rtype: bool
        """
        if len(matrix)==0 or len(matrix[0])==0: return False
        self.rows = len(matrix)
        self.columns = len(matrix[0])
        self.matrix = matrix
        self.target = target
        return self.recursive_f(0,0)

该算法会出现重复搜索,故会发生超时。

改进

class Solution(object):
    def recursive_f(self, r_index, c_index):
        if r_index>=self.rows or c_index>=self.columns:
            return False
        if self.matrix[r_index][c_index]==None: return False
        if self.matrix[r_index][c_index]==self.target:
            return True
        self.matrix[r_index][c_index] = None
        return (self.recursive_f(r_index,c_index+1) or 
                self.recursive_f(r_index+1,c_index))
    def searchMatrix(self, matrix, target):
        """
        :type matrix: List[List[int]]
        :type target: int
        :rtype: bool
        """
        if len(matrix)==0 or len(matrix[0])==0: return False
        self.rows = len(matrix)
        self.columns = len(matrix[0])
        self.matrix = matrix
        self.target = target
        return self.recursive_f(0,0)