Press "Enter" to skip to content

Huahua's Tech Road

花花酱 LeetCode 844. Backspace String Compare

Problem

题目大意:给你2个字符串表示打字顺序,判断它们的结果是否相同,’#’表示退格键。

https://leetcode.com/problems/backspace-string-compare/description/

Given two strings S and T, return if they are equal when both are typed into empty text editors. # means a backspace character.

Example 1:

Input: S = "ab#c", T = "ad#c"
Output: true
Explanation: Both S and T become "ac".

Example 2:

Input: S = "ab##", T = "c#d#"
Output: true
Explanation: Both S and T become "".

Example 3:

Input: S = "a##c", T = "#a#c"
Output: true
Explanation: Both S and T become "c".

Example 4:

Input: S = "a#c", T = "b"
Output: false
Explanation: S becomes "c" while T becomes "b".

Note:

  1. 1 <= S.length <= 200
  2. 1 <= T.length <= 200
  3. S and T only contain lowercase letters and '#' characters.

 

Solution: Simulation

Time complexity: O(|S| + |T|)

Space complexity: O(|S| + |T|)

C++

Java

Python3

花花酱 LeetCode 492. Construct the Rectangle

Problem

For a web developer, it is very important to know how to design a web page’s size. So, given a specific rectangular web page’s area, your job by now is to design a rectangular web page, whose length L and width W satisfy the following requirements:

1. The area of the rectangular web page you designed must equal to the given target area.

2. The width W should not be larger than the length L, which means L >= W.

3. The difference between length L and width W should be as small as possible.

You need to output the length L and the width W of the web page you designed in sequence.

Example:

Input: 4
Output: [2, 2]
Explanation: The target area is 4, and all the possible ways to construct it are [1,4], [2,2], [4,1]. 
But according to requirement 2, [1,4] is illegal; according to requirement 3,  [4,1] is not optimal compared to [2,2]. So the length L is 2, and the width W is 2.

Note:

  1. The given area won’t exceed 10,000,000 and is a positive integer
  2. The web page’s width and length you designed must be positive integers.

Solution

Time complexity: O(sqrt(n))

Space complexity: O(1)

C++

 

花花酱 LeetCode 576. Out of Boundary Paths

Problem

There is an m by n grid with a ball. Given the start coordinate (i,j) of the ball, you can move the ball to adjacent cell or cross the grid boundary in four directions (up, down, left, right). However, you can at most move N times. Find out the number of paths to move the ball out of grid boundary. The answer may be very large, return it after mod 109 + 7.

Example 1:

Input:m = 2, n = 2, N = 2, i = 0, j = 0
Output: 6
Explanation:

Example 2:

Input:m = 1, n = 3, N = 3, i = 0, j = 1
Output: 12
Explanation:

Note:

  1. Once you move the ball out of boundary, you cannot move it back.
  2. The length and height of the grid is in range [1,50].
  3. N is in range [0,50].

Solution

Time complexity: O(m*n + N * m * n)

Space complexity: O(N*m*n) -> O(m*n)

C++

Recursion with memorization

no loops

 

Related Problems

花花酱 LeetCode 334. Increasing Triplet Subsequence

Problem

题目大意:判断一个数组中是否存在长度为3的单调递增子序列。

Formally the function should:

Return true if there exists i, j, k 
such that arr[i] < arr[j] < arr[k] given 0 ≤ i < j < k ≤ n-1 else return false.

Your algorithm should run in O(n) time complexity and O(1) space complexity.

Examples:
Given [1, 2, 3, 4, 5],
return true.

Given [5, 4, 3, 2, 1],
return false.

Credits:
Special thanks to @DjangoUnchained for adding this problem and creating all test cases.

Solution: Greedy

Time complexity: O(n)

Space complexity: O(1)

C++

 

花花酱 LeetCode 516. Longest Palindromic Subsequence

Problem

题目大意:找出最长回文子序列的长度。

https://leetcode.com/problems/longest-palindromic-subsequence/description/

Given a string s, find the longest palindromic subsequence’s length in s. You may assume that the maximum length of s is 1000.

Example 1:
Input:

"bbbab"

Output:

4

One possible longest palindromic subsequence is “bbbb”.

Example 2:
Input:

"cbbd"

Output:

2

One possible longest palindromic subsequence is “bb”.

Solution: DP

Time complexity: O(n^2)

Space complexity: O(n^2)

C++

Time complexity: O(n^2)

Space complexity: O(n)

C++

Python3

C#