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LeetCode: Valid Palindrome III

Posted on August 5, 2019July 26, 2020 by braindenny

Valid Palindrome III



Similar Problems:

  • LeetCode: Longest Palindromic Subsequence
  • CheatSheet: Leetcode For Code Interview
  • CheatSheet: Common Code Problems & Follow-ups
  • Tag: #dynamicprogramming, #palindrome, #editdistance

Given a string s and an integer k, find out if the given string is a K-Palindrome or not.

A string is K-Palindrome if it can be transformed into a palindrome by removing at most k characters from it.

Example 1:

Input: s = "abcdeca", k = 2
Output: true
Explanation: Remove 'b' and 'e' characters.

Constraints:

  • 1 <= s.length <= 1000
  • s has only lowercase English letters.
  • 1 <= k <= s.length

Github: code.dennyzhang.com

Credits To: leetcode.com

Leave me comments, if you have better ways to solve.


  • Solution:
// https://code.dennyzhang.com/valid-palindrome-iii
// Basic Ideas: dynamic programming
//   optimal substructure:
//        Problem: the value of s[i...j]
//        if s[j] == s[i], f(s[i+1...j-1])+2
//        if s[j] != s[i], max(f(s[i+1...j]), f(s[i...j-1]))
//   Terminiation condition:
//        For s[i...j], when i==j, return 1
//
// Complexity: Time O(n*m), Space O(n*m)
func longestPalindromeSubseq(s string) int {
    dp := make([][]int, len(s))
    for i, _ := range dp {
        dp[i] = make([]int, len(s))
        dp[i][i] = 1
    }
    // s[i...j]: From bottom-up, left-right
    for i:=len(s)-1; i>=0; i-- {
        for j:=i+1; j<len(s); j++ {
            if s[i] == s[j] {
                // when i+1<j-1, dp[i+1][j-1] = 0
                dp[i][j] = dp[i+1][j-1]+2
            } else {
                // s[i...j-1]
                dp[i][j] = dp[i][j-1]
                if dp[i][j] < dp[i+1][j] {
                  // s[i+1...j]
                  dp[i][j] = dp[i+1][j]
                }
            }
        }
    }
    return dp[0][len(s)-1]
}

  • Solution:
// https://code.dennyzhang.com/valid-palindrome-iii
// Basic Ideas: dynamic programming
//
// Similar problem: longest palindrome subsequence
//
//   s[i...j]
//    dp[i][j]: the length of longest palindrome subsequence from S[i...j]
//          if s[i] == s[j], f(s[i...j]) = f(s[i+1...j-1])+2
//          Otherwise: f(s[i...j]) = max(f(s[i+1...j]), f(s[i...j-1]))
//
// Complexity: Time O(n^2), Space O(n^2)
func isValidPalindrome(s string, k int) bool {
    dp := make([][]int, len(s))
    for i, _ := range dp {
        dp[i] = make([]int, len(s))
        dp[i][i] = 1
    }
    // diagonal line: bottom-up, left-right
    for i:=len(s)-1; i>=0; i-- {
        for j:=i+1; j<len(s); j++ {
            if s[i] == s[j] {
                dp[i][j] = dp[i+1][j-1]+2
            } else {
                dp[i][j] = dp[i+1][j]
                if dp[i][j] < dp[i][j-1] {
                    dp[i][j] = dp[i][j-1]
                }
            }
        }
    }
    return dp[0][len(s)-1]+k>=len(s)
}
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Posted in MediumTagged #dynamicprogramming, #palindrome, editdistance

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