题目:
Given a list of words and two words word1 and word2, return the shortest distance between these two words in the list.
For example,
Assume that words =["practice", "makes", "perfect", "coding", "makes"]
. Given word1 = “coding”
, word2 = “practice”
, return 3.
"makes"
, word2 = "coding"
, return 1. Note:
You may assume that word1 does not equal to word2, and word1 and word2 are both in the list.链接:
题解:
找两个单词在数组中的距离。这个题比较没有意义...就跟找两个字母的距离一样。乍看题目还以为是word ladder。设置两个变量,分别代表每个单词的lastIndex,之后就是判断和计算了。也可以用一个变量来记录。
Time Complexity - O(n), Space Complexity - O(1)
public class Solution { public int shortestDistance(String[] words, String word1, String word2) { if(words == null || words.length == 0 || word1 == null || word2 == null) return Integer.MAX_VALUE; int minDistance = Integer.MAX_VALUE; int word1Index = -1, word2Index = -2; for(int i = 0; i < words.length; i++) { if(words[i].equals(word1)) word1Index = i; if(words[i].equals(word2)) word2Index = i; if(word1Index >= 0 && word2Index >= 0) minDistance = Math.min(minDistance, Math.abs(word1Index - word2Index)); } return minDistance; } }
二刷:
使用两个变量存下 word1和word2在数组中的位置,然后进行计算。
Java:
Time Complexity - O(n), Space Complexity - O(1)
public class Solution { public int shortestDistance(String[] words, String word1, String word2) { if (words == null || words.length < 2 || word1 == null || word2 == null) { return Integer.MAX_VALUE; } int word1Pos = -1, word2Pos = -1, minDistance = Integer.MAX_VALUE; for (int i = 0; i < words.length; i++) { String curWord = words[i]; if (curWord.equals(word1) || curWord.equals(word2)) { if (curWord.equals(word1)) { word1Pos = i; } if (curWord.equals(word2)) { word2Pos = i; } if (word1Pos >= 0 && word2Pos >= 0) { minDistance = Math.min(minDistance, Math.abs(word1Pos - word2Pos)); } } } return minDistance; }}
三刷:
Java:
public class Solution { public int shortestDistance(String[] words, String word1, String word2) { int minDist = Integer.MAX_VALUE; int word1Idx = -1, word2Idx = -1; for (int i = 0; i < words.length; i++) { if (words[i].equals(word1)) { word1Idx = i; if (word2Idx >= 0) minDist = Math.min(minDist, i - word2Idx); } else if (words[i].equals(word2)) { word2Idx = i; if (word1Idx >= 0) minDist = Math.min(minDist, i - word1Idx); } } return minDist; }}
Reference: