Longest String Chain

本文深入探讨了如何在给定的单词列表中找到最长的单词链。通过动态规划的方法,利用哈希映射来存储单词及其能构成的最长链长度,从而有效地解决了问题。文章详细解释了算法的实现思路,并提供了完整的代码示例。

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Given a list of words, each word consists of English lowercase letters.

Let's say word1 is a predecessor of word2 if and only if we can add exactly one letter anywhere in word1 to make it equal to word2.  For example, "abc" is a predecessor of "abac".

word chain is a sequence of words [word_1, word_2, ..., word_k] with k >= 1, where word_1 is a predecessor of word_2word_2 is a predecessor of word_3, and so on.

Return the longest possible length of a word chain with words chosen from the given list of words.

Example 1:

Input: ["a","b","ba","bca","bda","bdca"]
Output: 4
Explanation: one of the longest word chain is "a","ba","bda","bdca".

Note:

  1. 1 <= words.length <= 1000
  2. 1 <= words[i].length <= 16
  3. words[i] only consists of English lowercase letters.

思路:dp的思想,建立hashmap<String, Integer> 表示:<单词,前面能够跟单词连接起来的最长的长度>

按照长度从小到大排序之后,对于每个单词,遍历减去一个char的所有可能性,看前面是否出现过此单词,如果出现当前单词长度+1.全局变量记录最大值;记录前面的单词结果,避免重复计算;

class Solution {
    public int longestStrChain(String[] words) {
        Arrays.sort(words, (a, b) ->(a.length() - b.length()));
        HashMap<String, Integer> hashmap = new HashMap<>();
        int maxlen = 0;
        for(int i = 0; i < words.length; i++) {
            String word = words[i];
            int localbest = 1;
            for(int j = 0; j < word.length(); j++) {
                String temp = word.substring(0, j) + word.substring(j + 1);
                if(hashmap.containsKey(temp)) {
                    localbest = Math.max(localbest, 1 + hashmap.get(temp));
                }
            }
            hashmap.put(word, localbest);
            maxlen = Math.max(maxlen, localbest);
        }
        return maxlen;
    }
}
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