Press "Enter" to skip to content

Huahua's Tech Road

花花酱 LeetCode 521. Longest Uncommon Subsequence I

题目大意:求2个字符串最长的不同子序列的长度。

Problem:

https://leetcode.com/problems/longest-uncommon-subsequence-i/description/

Given a group of two strings, you need to find the longest uncommon subsequence of this group of two strings. The longest uncommon subsequence is defined as the longest subsequence of one of these strings and this subsequence should not be any subsequence of the other strings.

subsequence is a sequence that can be derived from one sequence by deleting some characters without changing the order of the remaining elements. Trivially, any string is a subsequence of itself and an empty string is a subsequence of any string.

The input will be two strings, and the output needs to be the length of the longest uncommon subsequence. If the longest uncommon subsequence doesn’t exist, return -1.

Example 1:

Note:

  1. Both strings’ lengths will not exceed 100.
  2. Only letters from a ~ z will appear in input strings.

Idea:

If two strings are the same, then the longest uncommon sequence does not exist, return -1.

e.g. aaa vs aaa, return -1

Otherwise, the longer string is always a uncommon sequence of the shorter one.

e.g. aaab vs aaa, return 4

Solution 1:

Time complexity: O(n)

Space complexity: O(1)

C++

Java

Python3

 

 

花花酱 LeetCode 95. Unique Binary Search Trees II

Problem

https://leetcode.com/problems/unique-binary-search-trees-ii/description/

Given an integer n, generate all structurally unique BST’s (binary search trees) that store values 1…n.

For example,
Given n = 3, your program should return all 5 unique BST’s shown below.

 

Idea: Recursion

for i in 1..n: pick i as root,
left subtrees can be generated in the same way for n_l = 1 … i – 1,
right subtrees can be generated in the same way for n_r = i + 1, …, n
def gen(s, e):
return [tree(i, l, r) for l in gen(s, i – 1) for r in gen(i + 1, e) for i in range(s, e+1)

# of trees:

n = 0: 1
n = 1: 1
n = 2: 2
n = 3: 5
n = 4: 14
n = 5: 42
n = 6: 132

Trees(n) = Trees(0)*Trees(n-1) + Trees(1)*Trees(n-2) + … + Tress(n-1)*Trees(0)

Time complexity: O(3^n)

Space complexity: O(3^n)

C++

Java

Python 3

Solution 2: DP

Java

Related Problems

 

花花酱 LeetCode 620. Not Boring Movies

Problem:

https://leetcode.com/problems/not-boring-movies/description/

X city opened a new cinema, many people would like to go to this cinema. The cinema also gives out a poster indicating the movies’ ratings and descriptions.

Please write a SQL query to output movies with an odd numbered ID and a description that is not ‘boring’. Order the result by rating.

For example, table cinema:

For the example above, the output should be:

MySQL

 

花花酱 LeetCode 15. 3Sum

题目大意:给你一个数组,让你找出3个数的和为0的所有组合。

Problem:

https://leetcode.com/problems/3sum/description/

Given an array S of n integers, are there elements abc in S such that a + b + c = 0? Find all unique triplets in the array which gives the sum of zero.

Note: The solution set must not contain duplicate triplets.

Solution 1: Hashtable

Time complexity: O(n^2)
Space complexity: O(n)

Solution 2: Sorting + Two pointers

Time complexity: O(nlogn + n^2)

Space complexity: O(1)

C++

Related Problems:

花花酱 LeetCode 172. Factorial Trailing Zeroes

题目大意:求n!末尾0的个数。

Problem:

https://leetcode.com/problems/factorial-trailing-zeroes/description/

Given an integer n, return the number of trailing zeroes in n!.

Note: Your solution should be in logarithmic time complexity.

Idea:

All trailing zeros are come from even_num x 5, we have more even_num than 5, so only count factor 5.

4! = 1x2x3x4 = 24, we haven’t encountered any 5 yet, so we don’t have any trailing zero.

5! = 1x2x3x4x5 = 120, we have one trailing zero. either 2×5, or 4×5 can contribute to that zero.

9! = 362880, we only encountered 5 once, so 1 trailing zero as expected.

10! = 3628800, 2 trailing zeros, since we have two numbers that have factor 5, one is 5 and the other is 10 (2×5)

What about 100! then?

100/5 = 20, we have 20 numbers have factor 5: 5, 10, 15, 20, 25, …, 95, 100.

Is the number of trailing zero 20? No, it’s 24, why?

Within that 20 numbers, we have 4 of them: 25 (5×5), 50 (2x5x5), 75 (3x5x5), 100 (4x5x5) that have an extra factor of 5.

So, for a given number n, we are looking how many numbers <=n have factor 5, 5×5, 5x5x5, …

Summing those numbers up we got the answer.

e.g. 1000! has 249 trailing zeros:

1000/5 = 200

1000/25 = 40

1000/125 = 8

1000/625 = 1

200 + 40 + 8 + 1 = 249

alternatively, we can do the following

1000/5 = 200

200/5 = 40

40/5 = 8

8/5 = 1

1/5 = 0

200 + 40 + 8 + 1 + 0 = 249

Solution 1: Recursion

Time complexity: O(log5(n))

Space complexity: O(log5(n))

C++

Java

Python3

Related Problems: