You are given an array of words where each word consists of lowercase English letters.
wordA is a predecessor of wordB if and only if we can insert exactly one letter anywhere in wordA without changing the order of the other characters to make it equal to wordB.
- For example,
"abc"is a predecessor of"abac", while"cba"is not a predecessor of"bcad".
A word chain is a sequence of words [word1, word2, ..., wordk] with k >= 1, where word1 is a predecessor of word2, word2 is a predecessor of word3, and so on. A single word is trivially a word chain with k == 1.
Return the length of the longest possible word chain with words chosen from the given list of words.
Example 1:
Input: words = [“a”,“b”,“ba”,“bca”,“bda”,“bdca”]
Output: 4
Explanation: One of the longest word chains is [“a”,“ba”,“bda”,“bdca”].
Example 2:
Input: words = [“xbc”,“pcxbcf”,“xb”,“cxbc”,“pcxbc”]
Output: 5
Explanation: All the words can be put in a word chain [“xb”, “xbc”, “cxbc”, “pcxbc”, “pcxbcf”].
Example 3:
Input: words = [“abcd”,“dbqca”]
Output: 1
Explanation: The trivial word chain [“abcd”] is one of the longest word chains.
[“abcd”,“dbqca”] is not a valid word chain because the ordering of the letters is changed.
Constraints:
1 <= words.length <= 10001 <= words[i].length <= 16words[i]only consists of lowercase English letters.
Approach - Bottom Up 1D DP
- So basically we first sort array by string length
- then for each pair we check 2 things first is there should be only 1 length difference and then we need to check if this is a predecessor or not
class Solution {
public int longestStrChain(String[] words) {
Arrays.sort(words, Comparator.comparingInt(String::length));
int n = words.length, maxlen = 1;
int[] dp = new int[n];
Arrays.fill(dp,1);
for (int i = 0; i < n; i++) {
for (int j = 0; j < i; j++) {
if (words[i].length() == words[j].length()+1 && isValid(words[j], words[i]))
dp[i] = Math.max(dp[i], dp[j] + 1);
}
maxlen = Math.max(maxlen, dp[i]);
}
return maxlen;
}
private boolean isValid(String prev, String curr) {
int i = 0, j = 0;
while (i < prev.length() && j < curr.length()) {
if (prev.charAt(i) == curr.charAt(j)) {
i++;
j++;
} else {
j++;
if (j-i > 1)
return false;
}
}
return true;
}
}Approach - Memoization
class Solution {
Integer[][] dp;
public int longestStrChain(String[] words) {
Arrays.sort(words, Comparator.comparingInt(String::length));
dp = new Integer[words.length][words.length];
return dfs(words, -1, 0);
}
private int dfs(String[] s, int p, int c) {
if (c == s.length)
return 0;
if (p != -1 && dp[p][c] != null)
return dp[p][c];
int take = 0, not;
if (p == -1 || (s[c].length() == s[p].length()+1 && isValid(s[p], s[c])))
take = 1 + dfs(s, c, c+1);
not = dfs(s, p, c+1);
if (p != -1)
dp[p][c] = Math.max(take,not);
return Math.max(take,not);
}
private boolean isValid(String prev, String curr) {
if (curr.length() > prev.length() + 1)
return false;
int i = 0, j = 0;
while (i < prev.length() && j < curr.length()) {
if (prev.charAt(i) == curr.charAt(j)) {
i++;
j++;
} else {
j++;
if (j - i > 1)
return false;
}
}
return true;
}
}Approach - Recursion
- First we need to sort the array based on length because of condition of finding the predecessor where the difference of length should only be 1 by definition
- Then we have 2 things if the predecessor condition passed then we can add 1 otherwise we are just checking
class Solution {
public int longestStrChain(String[] words) {
Arrays.sort(words, Comparator.comparingInt(String::length));
return dfs(words, -1, 0);
}
private int dfs(String[] s, int p, int c) {
if (c == s.length)
return 0;
int take = 0, not;
if (p == -1 || (s[c].length() == s[p].length()+1 && isValid(s[p], s[c])))
take = 1 + dfs(s, c, c+1);
not = dfs(s, p, c+1);
return Math.max(take,not);
}
private boolean isValid(String prev, String curr) {
if (curr.length() > prev.length() + 1)
return false;
int i = 0, j = 0;
while (i < prev.length() && j < curr.length()) {
if (prev.charAt(i) == curr.charAt(j)) {
i++;
j++;
} else {
j++;
if (j - i > 1)
return false;
}
}
return true;
}
}