Leetcode: Matchsticks to Square && Grammar: reverse an primative array
Remember the story of Little Match Girl? By now, you know exactly what matchsticks the little match girl has, please find out a way you can make one square by using up all those matchsticks. You should not break any stick, but you can link them up, and each matchstick must be used exactly one time. Your input will be several matchsticks the girl has, represented with their stick length. Your output will either be true or false, to represent whether you could make one square using all the matchsticks the little match girl has. Example 1:
Input: [1,1,2,2,2]
Output: true Explanation: You can form a square with length 2, one side of the square came two sticks with length 1.
Example 2:
Input: [3,3,3,3,4]
Output: false Explanation: You cannot find a way to form a square with all the matchsticks.
Note:
The length sum of the given matchsticks is in the range of 0 to 10^9.
The length of the given matchstick array will not exceed 15.
DFS, my solution is to fill each edge of the square one by one. DFS to construct the 1st, then 2nd, then 3rd, then 4th. For each edge I scan all the matches but only pick some, the others are discarded. These brings about two disadvantages: 1. I need to keep track of visited elem. 2. after the 1st edge is constructed, I have to re-scan to make the 2nd, 3rd, 4th, thus waste time! So my code get TLE in big case
public class Solution {
public boolean makesquare(int[] nums) {
if (nums==null || nums.length==0) return false;
int sideLen = 0;
for (int num : nums) {
sideLen += num;
}
if (sideLen % 4 != 0) return false;
sideLen /= 4;
return find(nums, sideLen, 0, 0, new HashSet<Integer>());
}
public boolean find(int[] nums, int sideLen, int completed, int curLen, HashSet<Integer> visited) {
if (curLen > sideLen) return false;
if (curLen == sideLen) {
completed++;
curLen = 0;
if (completed==4 && visited.size()==nums.length) return true;
if (completed==4 && visited.size()<nums.length) return false;
}
for (int i=0; i<nums.length; i++) {
if (!visited.contains(i)) {
visited.add(i);
if (find(nums, sideLen, completed, curLen+nums[i], visited))
return true;
visited.remove(i);
}
}
return false;
}
}
Better Solution: DFS, but only scan all the matches once! If a match can not make the 1st edge, then we do not discard it, we try 2nd, 3rd, 4th edge
referred to: https://discuss.leetcode.com/topic/72107/java-dfs-solution-with-explanation
public class Solution {
public boolean makesquare(int[] nums) {
if (nums == null || nums.length < 4) return false;
int sum = 0;
for (int num : nums) sum += num;
if (sum % 4 != 0) return false;
return dfs(nums, new int[4], 0, sum / 4);
}
private boolean dfs(int[] nums, int[] sums, int index, int target) {
if (index == nums.length) {
if (sums[0] == target && sums[1] == target && sums[2] == target) {
return true;
}
return false;
}
for (int i = 0; i < 4; i++) {
if (sums[i] + nums[index] > target) continue;
sums[i] += nums[index];
if (dfs(nums, sums, index + 1, target)) return true;
sums[i] -= nums[index];
}
return false;
}
}
Updates on 12/19/2016 Thanks @benjamin19890721 for pointing out a very good optimization: Sorting the input array DESC will make the DFS process run much faster. Reason behind this is we always try to put the next matchstick in the first subset. If there is no solution, trying a longer matchstick first will get to negative conclusion earlier. Following is the updated code. Runtime is improved from more than 1000ms to around 40ms. A big improvement.
public class Solution {
public boolean makesquare(int[] nums) {
if (nums==null || nums.length<4) return false;
int sideLen = 0;
for (int num : nums) {
sideLen += num;
}
if (sideLen % 4 != 0) return false;
sideLen /= 4;
Arrays.sort(nums);
reverse(nums);
return find(nums, new int[4], 0, sideLen);
}
public boolean find(int[] nums, int[] edges, int index, int sideLen) {
if (index == nums.length) {
if (edges[0]==sideLen && edges[1]==sideLen && edges[2]==sideLen)
return true;
else return false;
}
for (int i=0; i<4; i++) {
if (edges[i]+nums[index] > sideLen) continue;
edges[i] += nums[index];
if (find(nums, edges, index+1, sideLen)) return true;
edges[i] -= nums[index];
}
return false;
}
public void reverse(int[] nums) {
int l=0, r=nums.length-1;
while (l < r) {
int temp = nums[l];
nums[l] = nums[r];
nums[r] = temp;
l++;
r--;
}
}
}
Grammar: How to sort array in descending order: http://www.java67.com/2016/07/how-to-sort-array-in-descending-order-in-java.html
How to sort object array in descending order
First, let's see the example of sorting an object array into ascending order. Then we'll see how to sort a primitive array in descending order. In order to sort a reference type array e.g. String array, Integer array or Employee array, you need to pass the Array.sort() method a reverse Comparator.
Fortunately, you don't need to code it yourself, you can use Collections.reverseOrder(Comparator comp) to get a reverse order Comparator. Just pass your Comparator to this method and it will return the opposite order Comparator.
If you are using Comparator method to sort in natural order, you can also use the overloaded Collection.reverseOrder() method. It returns a Comparator which sorts in the opposite of natural order. In fact, this is the one you will be using most of the time.
Here is an example of sorting Integer array in descending order:
Integer[] cubes = new Integer[] { 8, 27, 64, 125, 256 };
Arrays.sort(cubes, Collections.reverseOrder());
How to sort primitive array in descending order
Now, let's see how to sort a primitive array e.g. int[], long[], float[] or char[] in descending order. As I told, there are no Arrays.sort() method which can sort the array in the reverse order. Many programmers make mistake of calling the above Array.sort() method as follows:
int[] squares = { 4, 25, 9, 36, 49 };
Arrays.sort(squares, Collections.reverseOrder());
This is compile time error "The method sort(int[]) in the type Arrays is not applicable for the arguments (int[], Comparator<Object>)" because there is no such method in the java.util.Arrays class.
The only way to sort a primitive array in descending order is first to sort it in ascending order and then reverse the array in place as shown here. Since in place reversal is an efficient algorithm and doesn't require extra memory, you can use it sort and reverse large array as well. You can also see a good book on data structure and algorithm e.g. Introduction to Algorithms to learn more about efficient sorting algorithm e.g. O(n) sorting algorithm like Bucket sort.
Leetcode: Matchsticks to Square && Grammar: reverse an primative array的更多相关文章
- [LeetCode] Matchsticks to Square 火柴棍组成正方形
Remember the story of Little Match Girl? By now, you know exactly what matchsticks the little match ...
- Leetcode之深度优先搜索(DFS)专题-473. 火柴拼正方形(Matchsticks to Square)
Leetcode之深度优先搜索(DFS)专题-473. 火柴拼正方形(Matchsticks to Square) 深度优先搜索的解题详细介绍,点击 还记得童话<卖火柴的小女孩>吗?现在, ...
- leetcode面试准备:Kth Largest Element in an Array
leetcode面试准备:Kth Largest Element in an Array 1 题目 Find the kth largest element in an unsorted array. ...
- LeetCode 新题: Find Minimum in Rotated Sorted Array 解题报告-二分法模板解法
Find Minimum in Rotated Sorted Array Question Solution Suppose a sorted array is rotated at some piv ...
- 【LeetCode】961. N-Repeated Element in Size 2N Array 解题报告(Python & C+++)
作者: 负雪明烛 id: fuxuemingzhu 个人博客: http://fuxuemingzhu.cn/ 目录 题目描述 题目大意 解题方法 字典 日期 题目地址:https://leetcod ...
- 【LeetCode】153. Find Minimum in Rotated Sorted Array 解题报告(Python)
[LeetCode]153. Find Minimum in Rotated Sorted Array 解题报告(Python) 标签: LeetCode 题目地址:https://leetcode. ...
- 【LeetCode】154. Find Minimum in Rotated Sorted Array II 解题报告(Python)
[LeetCode]154. Find Minimum in Rotated Sorted Array II 解题报告(Python) 标签: LeetCode 题目地址:https://leetco ...
- 【LeetCode】473. Matchsticks to Square 解题报告(Python & C++)
作者: 负雪明烛 id: fuxuemingzhu 个人博客: http://fuxuemingzhu.cn/ 目录 题目描述 题目大意 解题方法 回溯法 日期 题目地址:https://leetco ...
- LeetCode "473. Matchsticks to Square"
A trickier DFS, with a little bit complex recursion param tweak, and what's more important is prunin ...
随机推荐
- spring-表达式语言-SpEL【转】
Spring表达式语言(Spring Expression Language)简称:SpEL 课程概要: Spring表达式语言的入门介绍 Spring表达式语言的操作范围 Spring表达式语言的运 ...
- C#最简单例子
using System; namespace ConsoleApplication1 { class People { int age; string name; public string get ...
- solr5.5 基于内置jetty配置 Ubuntu
下载地址:http://archive.apache.org/dist/lucene/solr/ 在你的目录下直接解压 tar -zxvf xxxxxx.tgz 现在就可以直接开启solr了bin/s ...
- Django分析之使用redis缓存服务器
时间长没有更新了,这段时间一直忙着一个项目,今天就记录一个现在经常会用到的技术吧. redis相信大家都很熟悉了,和memcached一样是一个高性能的key-value数据库,至于什么是缓存服务器, ...
- Spring中Bean的作用域
1.在Spring的早期版本中,仅有两个作用域:singleton和prototype,前者表示Bean以单例的方式存在:后者表示每次从容器中调用Bean时,都会返回一个新的实例 2.Spring 2 ...
- websevice中runtime modeler error: Wrapper class com.ws.jaxws.Add is not found问题的解决办法
查询了网上的资料,有以下解决办法: 1> 先用apt命令将主程序进行编译,然后生成一些java文件2> 升级JDK到版本jdk1.6u17或以后 这两种办法我没有试过,但是试了以下这种方法 ...
- android——从零开始
一.JDK(不用安装)1.下载适合的jdk2.配置环境变量 添加一系统边=变量 JAVA_HOME=D:\Java\jdk1.8.0_91 CLASSPATH=.;%JAVA_ ...
- AnjularJS异步编程 Promise和$q
Promise,是一种异步处理模式. js代码的函数嵌套会使得程序执行异步代码时很难调试.因为多重嵌套的函数无法确定何时触发回调. 如: funA(arg1,arg2,function(){ func ...
- 使用数据泵+dblink迁移数据库,适用于本地空间不足的情况
col name for a40 select name,locks,pins from v$db_object_cache where locks > 0 and pins > 0 an ...
- wifi万能钥匙自媒体平台开放注册(付注册流程)
12月13日,有网友爆料,wifi万能钥匙自媒体开放注册,看来自媒体还没有达到饱和阶段,也印证了自媒体时代才刚刚到来.现在这个自媒体的时代,几乎大多互联网企业都开通了自己的自媒体,比较知名的像今日头条 ...