zoukankan      html  css  js  c++  java
  • Leetcode Shortest Word Distance III

    This is a follow up of Shortest Word Distance. The only difference is now word1 could be the same as word2.

    Given a list of words and two words word1 and word2, return the shortest distance between these two words in the list.

    word1 and word2 may be the same and they represent two individual words in the list.

    For example,
    Assume that words = ["practice", "makes", "perfect", "coding", "makes"].

    Given word1 = “makes”word2 = “coding”, return 1.
    Given word1 = "makes"word2 = "makes", return 3.

    Note:
    You may assume word1 and word2 are both in the list.


    解题思路:

    两种解法:

    1. 参考Shortest Word Distance , 优先选择这种,简单明了。

    2. 参考Shortest Word Distance II ,用hashmap, 结果run time特别慢


    Java code

    方法一

     public int shortestWordDistance(String[] words, String word1, String word2) {
            int p1 = -1, p2 = -1, distance = words.length;
            
            for(int i = 0; i<words.length; i++){
                if(words[i].equals(word1)){
                    p1 = i;
                    if(p1 != -1 && p2 != -1){
                        distance = (p1!=p2) ? Math.min(distance, Math.abs(p1-p2)): distance;
                    }
                }
                if(words[i].equals(word2)){
                    p2 = i;
                    if(p1 != -1 && p2 != -1){
                        distance = (p1!=p2) ? Math.min(distance, Math.abs(p1-p2)): distance;
                    }
                }
            }
            return distance;
        }

    方法二

     public int shortestWordDistance(String[] words, String word1, String word2) {
            Map<String, ArrayList<Integer>> map = new HashMap<String, ArrayList<Integer>>();
             for(int i = 0; i< words.length; i++) {
                String w = words[i];
                if(map.containsKey(w)) {
                    map.get(w).add(i);
                }else{
                    ArrayList<Integer> list = new ArrayList<Integer>();
                    list.add(i);
                    map.put(w,list);
                }
            }
            int distance = Integer.MAX_VALUE;
            ArrayList<Integer> index1 = map.get(word1);
            ArrayList<Integer> index2 = map.get(word2);
              
            if(word1.equals(word2)) {
                 for(int i = 0; i< index1.size()-1; i++) {
                     for(int j = i+1; j< index1.size(); j++) {
                          distance = Math.min(distance, Math.abs(index1.get(i)-index1.get(j)));
                     }
                 } 
            }else {
                for(int i : index1) {
                    for(int j : index2){
                        distance = Math.min(distance, Math.abs(i-j));
                    }
                }
            }
            return distance;
        }

    Reference:

    1. https://leetcode.com/discuss/56772/simplest-java-solution

  • 相关阅读:
    索引总结篇
    数据库的安全管理
    数据库备份对日志文件的影响
    数据文件与日志文件读取机制
    更新操作所带来的影响
    页拆分-产生碎片
    你不可不知的T-SQL执行顺序
    实用T-SQL收集
    Left Join的神奇效果
    我对数据库索引的理解
  • 原文地址:https://www.cnblogs.com/anne-vista/p/4831092.html
Copyright © 2011-2022 走看看