博客
关于我
Weekly Contest 133
阅读量:426 次
发布时间:2019-03-06

本文共 7511 字,大约阅读时间需要 25 分钟。

1030. Matrix Cells in Distance Order

We are given a matrix with R rows and C columns has cells with integer coordinates (r, c), where 0 <= r < R and 0 <= c < C.

Additionally, we are given a cell in that matrix with coordinates (r0, c0).

Return the coordinates of all cells in the matrix, sorted by their distance from (r0, c0) from smallest distance to largest distance.  Here, the distance between two cells (r1, c1) and (r2, c2) is the Manhattan distance, |r1 - r2| + |c1 - c2|.  (You may return the answer in any order that satisfies this condition.)

 

Example 1:

Input: R = 1, C = 2, r0 = 0, c0 = 0Output: [[0,0],[0,1]]Explanation: The distances from (r0, c0) to other cells are: [0,1]

Example 2:

Input: R = 2, C = 2, r0 = 0, c0 = 1Output: [[0,1],[0,0],[1,1],[1,0]]Explanation: The distances from (r0, c0) to other cells are: [0,1,1,2]The answer [[0,1],[1,1],[0,0],[1,0]] would also be accepted as correct.

Example 3:

Input: R = 2, C = 3, r0 = 1, c0 = 2Output: [[1,2],[0,2],[1,1],[0,1],[1,0],[0,0]]Explanation: The distances from (r0, c0) to other cells are: [0,1,1,2,2,3]There are other answers that would also be accepted as correct, such as [[1,2],[1,1],[0,2],[1,0],[0,1],[0,0]].

 

Note:

  1. 1 <= R <= 100
  2. 1 <= C <= 100
  3. 0 <= r0 < R
  4. 0 <= c0 < C

 

Approach #1: 

class Solution {public:    vector
> allCellsDistOrder(int R, int C, int r0, int c0) { map
>> m; for (int i = 0; i < R; ++i) { for (int j = 0; j < C; ++j) { int dis = abs(i - r0) + abs(j - c0); m[dis].push_back({i, j}); } } int index = 0; vector
> ret = vector(R*C, vector
(2)); map
>>::iterator it; for (it = m.begin(); it != m.end(); ++it) { vector
> temp = it->second; for (int i = 0; i < temp.size(); ++i) { ret[index][0] = temp[i].first; ret[index][1] = temp[i].second; index++; } } return ret; }};

  

1029. Two City Scheduling

There are 2N people a company is planning to interview. The cost of flying the i-th person to city A is costs[i][0], and the cost of flying the i-th person to city B is costs[i][1].

Return the minimum cost to fly every person to a city such that exactly N people arrive in each city.

 

Example 1:

Input: [[10,20],[30,200],[400,50],[30,20]]Output: 110Explanation: The first person goes to city A for a cost of 10.The second person goes to city A for a cost of 30.The third person goes to city B for a cost of 50.The fourth person goes to city B for a cost of 20.The total minimum cost is 10 + 30 + 50 + 20 = 110 to have half the people interviewing in each city.

 

Note:

  1. 1 <= costs.length <= 100
  2. It is guaranteed that costs.length is even.
  3. 1 <= costs[i][0], costs[i][1] <= 1000

 

Approach #1: 

class Solution {    public int twoCitySchedCost(int[][] costs) {        int N = costs.length / 2;        int[][] dp = new int[N+1][N+1];        for (int i = 1; i <= N; ++i) {            dp[i][0] = dp[i-1][0] + costs[i-1][0];        }        for (int i = 1; i <= N; ++i) {            dp[0][i] = dp[0][i-1] + costs[i-1][1];        }        for (int i = 1; i <= N; ++i) {            for (int j = 1; j <= N; ++j) {                dp[i][j] = Math.min(dp[i-1][j] + costs[i+j-1][0], dp[i][j-1] + costs[i+j-1][1]);            }        }        return dp[N][N];    }}

  

1031. Maximum Sum of Two Non-Overlapping Subarrays

Given an array A of non-negative integers, return the maximum sum of elements in two non-overlapping (contiguous) subarrays, which have lengths L and M.  (For clarification, the L-length subarray could occur before or after the M-length subarray.)

Formally, return the largest V for which V = (A[i] + A[i+1] + ... + A[i+L-1]) + (A[j] + A[j+1] + ... + A[j+M-1]) and either:

  • 0 <= i < i + L - 1 < j < j + M - 1 < A.length, or
  • 0 <= j < j + M - 1 < i < i + L - 1 < A.length.

 

Example 1:

Input: A = [0,6,5,2,2,5,1,9,4], L = 1, M = 2Output: 20Explanation: One choice of subarrays is [9] with length 1, and [6,5] with length 2.

Example 2:

Input: A = [3,8,1,3,2,1,8,9,0], L = 3, M = 2Output: 29Explanation: One choice of subarrays is [3,8,1] with length 3, and [8,9] with length 2.

Example 3:

Input: A = [2,1,5,6,0,9,5,0,3,8], L = 4, M = 3Output: 31Explanation: One choice of subarrays is [5,6,0,9] with length 4, and [3,8] with length 3.

 

Note:

  1. L >= 1
  2. M >= 1
  3. L + M <= A.length <= 1000
  4. 0 <= A[i] <= 1000

 

Approach #1:

class Solution {    public int maxSumTwoNoOverlap(int[] A, int L, int M) {        for (int i = 1; i < A.length; ++i) {            A[i] += A[i-1];        }        int res = A[L+M-1], Lmax = A[L-1], Mmax = A[M-1];        for (int i = L + M; i < A.length; ++i) {            Lmax = Math.max(Lmax, A[i-M] - A[i-M-L]);            Mmax = Math.max(Mmax, A[i-L] - A[i-M-L]);            res = Math.max(res, Math.max(Lmax + A[i] - A[i-M], Mmax + A[i] - A[i-L]));        }                return res;    }}

  

1032. Stream of Characters

Implement the StreamChecker class as follows:

  • StreamChecker(words): Constructor, init the data structure with the given words.
  • query(letter): returns true if and only if for some k >= 1, the last k characters queried (in order from oldest to newest, including this letter just queried) spell one of the words in the given list.

 

Example:

StreamChecker streamChecker = new StreamChecker(["cd","f","kl"]); // init the dictionary.streamChecker.query('a');          // return falsestreamChecker.query('b');          // return falsestreamChecker.query('c');          // return falsestreamChecker.query('d');          // return true, because 'cd' is in the wordliststreamChecker.query('e');          // return falsestreamChecker.query('f');          // return true, because 'f' is in the wordliststreamChecker.query('g');          // return falsestreamChecker.query('h');          // return falsestreamChecker.query('i');          // return falsestreamChecker.query('j');          // return falsestreamChecker.query('k');          // return falsestreamChecker.query('l');          // return true, because 'kl' is in the wordlist

 

Note:

  • 1 <= words.length <= 2000
  • 1 <= words[i].length <= 2000
  • Words will only consist of lowercase English letters.
  • Queries will only consist of lowercase English letters.
  • The number of queries is at most 40000.

 

Approach #1:

class StreamChecker {    public class TriNode {        boolean isEnd = false;        TriNode[] next = new TriNode[26];    }        TriNode root = new TriNode();    StringBuilder buf = new StringBuilder();        void insert(String word) {        TriNode temp = root;        for (int i = 0; i < word.length(); ++i) {            char ch = word.charAt(word.length()-i-1);            if (temp.next[ch-'a'] == null) temp.next[ch-'a'] = new TriNode();            temp = temp.next[ch-'a'];        }        temp.isEnd = true;    }        public StreamChecker(String[] words) {        for (String word : words) {            insert(word);        }    }        public boolean query(char letter) {        buf.append(letter);        // System.out.println(buf.toString());        TriNode p = root;        for (int i = buf.length() - 1; i >= 0; --i) {            char ch = buf.charAt(i);            p = p.next[ch-'a'];            if (p == null) return false;            if (p.isEnd) return true;        }        return false;    }}/** * Your StreamChecker object will be instantiated and called as such: * StreamChecker obj = new StreamChecker(words); * boolean param_1 = obj.query(letter); */

  

 

转载地址:http://iftuz.baihongyu.com/

你可能感兴趣的文章
NLP的不同研究领域和最新发展的概述
查看>>
NLP的神经网络训练的新模式
查看>>
NLP采用Bert进行简单文本情感分类
查看>>
NLP问答系统:使用 Deepset SQUAD 和 SQuAD v2 度量评估
查看>>
NLP项目:维基百科文章爬虫和分类【02】 - 语料库转换管道
查看>>
NLP:从头开始的文本矢量化方法
查看>>
NLP:使用 SciKit Learn 的文本矢量化方法
查看>>
NLTK - 停用词下载
查看>>
nmap 使用总结
查看>>
nmap 使用方法详细介绍
查看>>
nmap使用
查看>>
nmap使用实战(附nmap安装包)
查看>>
Nmap哪些想不到的姿势
查看>>
Nmap扫描教程之Nmap基础知识
查看>>
nmap指纹识别要点以及又快又准之方法
查看>>
Nmap渗透测试指南之指纹识别与探测、伺机而动
查看>>
Nmap端口扫描工具Windows安装和命令大全(非常详细)零基础入门到精通,收藏这篇就够了
查看>>
NMAP网络扫描工具的安装与使用
查看>>
NMF(非负矩阵分解)
查看>>
nmon_x86_64_centos7工具如何使用
查看>>