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花花酱 LeetCode 557 Reverse Words in a String III

题目大意:独立反转字符串中的每个单词。

Given a string, you need to reverse the order of characters in each word within a sentence while still preserving whitespace and initial word order.

Example 1:

Note: In the string, each word is separated by single space and there will not be any extra space in the string.

Idea: Brute Force

C++

 

Python3

 

花花酱 LeetCode 508. Most Frequent Subtree Sum

 

Given the root of a tree, you are asked to find the most frequent subtree sum. The subtree sum of a node is defined as the sum of all the node values formed by the subtree rooted at that node (including the node itself). So what is the most frequent subtree sum value? If there is a tie, return all the values with the highest frequency in any order.

Examples 1
Input:

return [2, -3, 4], since all the values happen only once, return all of them in any order.

Examples 2
Input:

return [2], since 2 happens twice, however -5 only occur once.

Note: You may assume the sum of values in any subtree is in the range of 32-bit signed integer.

 

Python

 

花花酱 LeetCode 518. Coin Change 2

题目大意:给你一些硬币的面值,问使用这些硬币(无限多块)能够组成amount的方法有多少种。

You are given coins of different denominations and a total amount of money. Write a function to compute the number of combinations that make up that amount. You may assume that you have infinite number of each kind of coin.

Note: You can assume that

  • 0 <= amount <= 5000
  • 1 <= coin <= 5000
  • the number of coins is less than 500
  • the answer is guaranteed to fit into signed 32-bit integer

Example 1:

Example 2:

Example 3:

Idea: DP

Transition 1:

Let us use dp[i][j] to denote the number of ways to sum up to amount j using first i kind of coins.

dp[i][j] = dp[i – 1][j – coin] + dp[i – 1][j – 2* coin] + …

Time complexity: O(n*amount^2) TLE

Space complexity: O(n*amount) -> O(amount)

Transition 2:

Let us use dp[i] to denote the number of ways to sum up to amount i.

dp[i + coin] += dp[i]

Time complexity: O(n*amount)

Space complexity:  O(amount)

C++

Java

Python

 

Related Problems:

花花酱 LeetCode 468. Validate IP Address

题目大意:给你一个字符串,让你判断是否是合法的ipv4或者ipv6地址,都不合法返回Neighter.

Write a function to check whether an input string is a valid IPv4 address or IPv6 address or neither.

IPv4 addresses are canonically represented in dot-decimal notation, which consists of four decimal numbers, each ranging from 0 to 255, separated by dots (“.”), e.g.,172.16.254.1;

Besides, leading zeros in the IPv4 is invalid. For example, the address 172.16.254.01 is invalid.

IPv6 addresses are represented as eight groups of four hexadecimal digits, each group representing 16 bits. The groups are separated by colons (“:”). For example, the address 2001:0db8:85a3:0000:0000:8a2e:0370:7334 is a valid one. Also, we could omit some leading zeros among four hexadecimal digits and some low-case characters in the address to upper-case ones, so 2001:db8:85a3:0:0:8A2E:0370:7334 is also a valid IPv6 address(Omit leading zeros and using upper cases).

However, we don’t replace a consecutive group of zero value with a single empty group using two consecutive colons (::) to pursue simplicity. For example, 2001:0db8:85a3::8A2E:0370:7334 is an invalid IPv6 address.

Besides, extra leading zeros in the IPv6 is also invalid. For example, the address 02001:0db8:85a3:0000:0000:8a2e:0370:7334 is invalid.

Note: You may assume there is no extra space or special characters in the input string.

Example 1:

Example 2:

Example 3:

Solution 1: String / Brute force 

 

花花酱 LeetCode 790. Domino and Tromino Tiling

题目大意:有两种不同形状的骨牌(1×2长条形,L型)无限多块。给你一个2xN的板子,问一共有多少不同的方式可以完全覆盖。

We have two types of tiles: a 2×1 domino shape, and an “L” tromino shape. These shapes may be rotated.

Given N, how many ways are there to tile a 2 x N board? Return your answer modulo 10^9 + 7.

(In a tiling, every square must be covered by a tile. Two tilings are different if and only if there are two 4-directionally adjacent cells on the board such that exactly one of the tilings has both squares occupied by a tile.)

 

Idea: DP

dp[i][0]: ways to cover i cols, both rows of i-th col are covered
dp[i][1]:  ways to cover i cols, only top row of i-th col is covered
dp[i][2]:  ways to cover i cols, only bottom row of i-th col is covered

Solution 1: DP

Time complexity: O(N)

Space complexity: O(N)

C++

C++ V2

Solution 2: DP

Another way to think about this problem

define: dp[i] ways to completely covert the i*2 board.

C++