Union Find - 20181102 - 20181105
Union Find:
589. Connecting Graph
public class ConnectingGraph {
//父节点数组
private int[] father = null;
/*
* @param n: An integer
*/
public ConnectingGraph(int n) {
// do intialization if necessary
father = new int[n + 1];
for (int i = 1; i <= n; i++) {
father[i] = i;
}
}
/*
* @param a: An integer
* @param b: An integer
* @return: nothing
*/
public void connect(int a, int b) {
// write your code here
int root_a = find(a);
int root_b = find(b);
if (root_a == root_b) {
return;
}
father[root_a] = root_b;
}
/*
* @param a: An integer
* @param b: An integer
* @return: A boolean
*/
public boolean query(int a, int b) {
// write your code here
return find(a) == find(b);
}
//union find 主要逻辑,实现找到每个节点的父节点,同时把寻找父节点的路径子节点都直接链接到root节点下
//为了减少记录path的空间分配,可以每次将路径中子节点指向父节点的下一个节点,同样可以实现路径压缩
public int find(int a) {
if (father[a] == a) {
return a;
}
int i = a;
while (father[i] != i) {
int b = father[i];
father[i] = father[b];
i = b;
}
return i;
}
}
590. Connecting Graph II
public class ConnectingGraph2 {
private int[] father = null;
private int[] size = null;
/*
* @param n: An integer
*/
public ConnectingGraph2(int n) {
// do intialization if necessary
father = new int[n + 1];
size = new int[n+1];
for (int i = 1; i <= n; i++) {
father[i] = i;
size[i] = 1;
}
}
/*
* @param a: An integer
* @param b: An integer
* @return: nothing
*/
public void connect(int a, int b) {
// write your code here
int root_a = find(a);
int root_b = find(b);
if (root_a != root_b) {
father[root_a] = root_b;
size[root_b] += size[root_a];
}
}
/*
* @param a: An integer
* @return: An integer
*/
public int query(int a) {
// write your code here
int root_a = find(a);
return size[root_a];
}
public int find(int a) {
if (father[a] == a) {
return a;
}
Set<Integer> path = new HashSet<>();
int i = a;
while (father[i] != i) {
path.add(i);
i = father[i];
}
for (int num : path) {
father[num] = i;
}
return i;
}
}
591. Connecting Graph III
public class ConnectingGraph3 {
/**
* @param a: An integer
* @param b: An integer
* @return: nothing
*/
private int[] father = null;
private int count = 0;
public ConnectingGraph3(int n) {
father = new int[n + 1];
for (int i = 1; i <= n; i++) {
father[i] = i;
}
count = n;
}
public void connect(int a, int b) {
// write your code here
int root_a = find(a);
int root_b = find(b);
if (root_a != root_b) {
father[root_a] = root_b;
count--;
}
}
/**
* @return: An integer
*/
public int query() {
// write your code here
return count;
}
public int find(int a) {
if (father[a] == a) {
return a;
}
int i = a;
while (father[i] != i) {
int b = father[i];
father[i] = father[b];
i = b;
}
return i;
}
}
1070. Accounts Merge(二刷复习)
public class Solution {
/**
* @param accounts: List[List[str]]
* @return: return a List[List[str]]
*/
//integer对应accounts的index
Map<Integer, Integer> father = new HashMap<>();
public List<List<String>> accountsMerge(List<List<String>> accounts) {
// write your code here
List<List<String>> res = new ArrayList<>();
if (accounts == null || accounts.size() == 0) {
return res;
}
Map<String, List<Integer>> emailToIds = buildEmailToIds(accounts);
for (Map.Entry<String, List<Integer>> entry : emailToIds.entrySet()) {
List<Integer> ids = entry.getValue();
if (ids != null && ids.size() != 0) {
for (int i = 0; i < ids.size(); i++) {
union(ids.get(i), ids.get(0));
}
}
}
Map<Integer, Set<String>> idToEmails = buildIdToEmails(accounts);
for (Map.Entry<Integer, Set<String>> entry : idToEmails.entrySet()) {
List<String> mergeList = new ArrayList<>();
List<String> accountList = new ArrayList<>(entry.getValue());
Collections.sort(accountList);
String user = accounts.get(entry.getKey()).get(0);
mergeList.add(user);
mergeList.addAll(accountList);
res.add(mergeList);
}
return res;
}
public Map<String, List<Integer>> buildEmailToIds(List<List<String>> accounts) {
Map<String, List<Integer>> res = new HashMap<>();
for (int i = 0; i < accounts.size(); i++) {
if (accounts.get(i) == null || accounts.get(i).size() <= 1) {
continue;
}
father.put(i, i);
List<String> emails = accounts.get(i);
for (int j = 1; j < emails.size(); j++) {
List<Integer> ids = res.get(emails.get(j));
if (ids == null) {
ids = new ArrayList<>();
}
ids.add(i);
res.put(emails.get(j), ids);
}
}
return res;
}
public Map<Integer, Set<String>> buildIdToEmails(List<List<String>> accounts) {
Map<Integer, Set<String>> idToEmails = new HashMap<>();
for (int i = 0; i < accounts.size(); i++) {
int root_id = find(i);
Set<String> emails = idToEmails.get(root_id);
if (emails == null) {
emails = new HashSet<>();
}
for (int j = 1; j < accounts.get(i).size(); j++) {
emails.add(accounts.get(i).get(j));
}
idToEmails.put(root_id, emails);
}
return idToEmails;
}
public void union(int a, int b) {
int root_a = find(a);
int root_b = find(b);
if (root_a != root_b) {
father.put(root_a, root_b);
}
}
public int find(int a) {
if (father.get(a) == a) {
return a;
}
Set<Integer> path = new HashSet<>();
int i = a;
while (father.get(i) != i) {
path.add(i);
i = father.get(i);
}
for (int num : path) {
father.put(num, i);
}
return i;
}
}
Union Find - 20181102 - 20181105的更多相关文章
- Hive 数仓中常见的日期转换操作
(1)Hive 数仓中一些常用的dt与日期的转换操作 下面总结了自己工作中经常用到的一些日期转换,这类日期转换经常用于报表的时间粒度和统计周期的控制中 日期变换: (1)dt转日期 to_date(f ...
- SQL Server-聚焦UNIOL ALL/UNION查询(二十三)
前言 本节我们来看看有关查询中UNION和UNION ALL的问题,简短的内容,深入的理解,Always to review the basics. 初探UNION和UNION ALL 首先我们过一遍 ...
- SQL 提示介绍 hash/merge/concat union
查询提示一直是个很有争议的东西,因为他影响了sql server 自己选择执行计划.很多人在问是否应该使用查询提示的时候一般会被告知慎用或不要使用...但是个人认为善用提示在不修改语句的条件下,是常用 ...
- LINQ to SQL语句(8)之Concat/Union/Intersect/Except
适用场景:对两个集合的处理,例如追加.合并.取相同项.相交项等等. Concat(连接) 说明:连接不同的集合,不会自动过滤相同项:延迟. 1.简单形式: var q = ( from c in db ...
- SQLServer-----Union,Union All的使用方法
转载: http://blog.csdn.net/kiqinie/article/details/8132485 select a.Name from Material as a union sele ...
- 假如 UNION ALL 里面的子句 有 JOIN ,那个执行更快呢
比如: select id, name from table1 where name = 'x' union all select id, name from table2 where name = ...
- sql union和union all的用法及效率
UNION指令的目的是将两个SQL语句的结果合并起来.从这个角度来看, 我们会产生这样的感觉,UNION跟JOIN似乎有些许类似,因为这两个指令都可以由多个表格中撷取资料. UNION的一个限制是两个 ...
- 【oracle】union、union all、intersect、minus 的用法及区别
一.union与union all 首先建两个view create or replace view test_view_1 as as c from dual union as c from dua ...
- sql with as union all
WITH RPL (FId,Fname,Forder) AS ( SELECT ment.deptno,ment.deptname,ment.orderno FROM JTERP..fg_depart ...
随机推荐
- CentOS7虚拟机安装Linux教程及安装后所遇到的问题
1.VMware Workstation15下载. 官方链接:http://download3.vmware.com/software/wkst/file/VMware-workstation-ful ...
- [原创]MongoDB C++ 驱动部分问题解决方案(MongoDB C++ Driver)
本文为我长时间开发以及修改MongoDB C++ Driver时的一些问题和解决方案.目前本文所介绍的相关引擎也已经发布闭源版本,请自行下载 库版本以及相关位置:http://code.google. ...
- js实现选项卡切换
<!DOCTYPE html><html><head lang="en"> <meta charset="UTF-8" ...
- App测试从入门到精通之兼容性和回归测试
兼容性测试需要考虑的APP测试点 1.不同网络环境下的兼容性测试 2.不同手机操作系统兼容性测试 3.不同应用软件的兼容性测试 4.不同的容量大小的SIM卡之间的互相兼容测试 5.当安装杀毒软件时,应 ...
- Controller级别的异常处理过滤器IExceptionFilter
1,系统自带的HandleErrorAttribute类继承自IExceptionFilter,是MVC的默认实现. 同时设置web.config <system.web> <cus ...
- xml解析中的DOM和SAX的区别
面试题:DMO和SAX的区别? DOM解析的优点:增删查改操作方便,缺点:占用内存较大,不适合解析大的XML文件: SAX解析的优点:占用内存小,解析快:缺点:不适合增删查改:
- 史融资2.5亿的“自主国产”红芯浏览器,其实是个套壳Chrome
红芯浏览器 今天早上看到朋友发的浏览器图片,感觉很好奇,然后就看了下,感觉文章还不错,就转发了下,然后下载浏览器着实花了不小心思,最后文末添加了红芯浏览器转存在蓝奏云盘的下载连接了. 文章原文 今天又 ...
- ArcGIS坐标转换
我忘了怎么设置坐标系了- 定义投影ArcCatalog设置? -arctoolbox好像都可以 感觉不用想的那么复杂]直接定义投影就行了 选这一个吗 这个就行了' 然后? 应该是先定义成 ...
- Dijstra算法-------为了纪念,等以后看的时候方便
杭电problem2066 Time Limit : 1000/1000ms (Java/Other) Memory Limit : 32768/32768K (Java/Other) Total ...
- Google Earth 8.0
前几天有看到全新的Google Earth 8.0升级,刚好适合自己的手机应用.Google Earth 8.0 官方下载:https://play.google.com/store/apps/det ...