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➤微信公众号:山青咏芝(shanqingyongzhi)
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Given a string s, find the longest palindromic subsequence's length in s. You may assume that the maximum length of s is 1000.
Example 1:
Input:
"bbbab"
Output:
4
One possible longest palindromic subsequence is "bbbb".
Example 2:
Input:
"cbbd"
Output:
2
One possible longest palindromic subsequence is "bb".
给定一个字符串s
,找到其中最长的回文子序列。可以假设s
的最大长度为1000
。
示例 1:
输入:
"bbbab"
输出:
4
一个可能的最长回文子序列为 "bbbb"。
示例 2:
输入:
"cbbd"
输出:
2
一个可能的最长回文子序列为 "bb"。
280ms
1 class Solution { 2 func longestPalindromeSubseq(_ s: String) -> Int { 3 let s = Array(s) 4 guard s.count > 0 else { 5 return 0 6 } 7 8 let len = s.count 9 var dp = [Int](repeating: 1, count: len) 10 var i = 1 11 while i<len { 12 var maxLen = 0 13 var j = i-1 14 while j >= 0 { 15 let previousMax = maxLen 16 maxLen = max(dp[j], maxLen) 17 if s[j] == s[i] { 18 dp[j] = previousMax + 2 19 } 20 j-=1 21 } 22 i+=1 23 } 24 var maxLen = 1 25 for v in dp { maxLen = max(maxLen,v) } 26 return maxLen 27 } 28 }
Runtime: 292 ms
Memory Usage: 19.7 MB
1 class Solution { 2 func longestPalindromeSubseq(_ s: String) -> Int { 3 var arr:[Character] = Array(s) 4 var n:Int = s.count 5 var res:Int = 0 6 var dp:[Int] = [Int](repeating:1,count:n) 7 for i in stride(from:n - 1,through:0,by:-1) 8 { 9 var len:Int = 0 10 for j in (i + 1)..<n 11 { 12 var t:Int = dp[j] 13 if arr[i] == arr[j] 14 { 15 dp[j] = len + 2 16 } 17 len = max(len, t) 18 } 19 } 20 return dp.max()! 21 } 22 }
300ms
1 class Solution { 2 func longestPalindromeSubseq(_ s: String) -> Int { 3 let s = Array(s.utf16) 4 guard s.count > 0 else { 5 return 0 6 } 7 8 let count = s.count 9 var dp = [Int](repeating: 1, count: count) 10 for j in 1..<count { 11 var temp = 0 12 var i=j-1 13 while i >= 0 { 14 (temp, dp[i]) = (dp[i], (s[i] == s[j]) ? temp + 2 : max(dp[i], dp[i+1])) 15 i-=1 16 } 17 } 18 return dp[0] 19 } 20 }
440ms
1 class Solution { 2 func longestPalindromeSubseq(_ s: String) -> Int { 3 guard s.count > 1 else { return s.count } 4 let chars = Array(s) 5 6 var lminus2 = [Int](repeating: 0, count: s.count+1) 7 var lminus1 = [Int](repeating: 1, count: s.count+1) 8 var l = [Int](repeating: 0, count: s.count+1) 9 10 for len in (2...s.count) { 11 for start in (0..<s.count - len + 1) { 12 if chars[start] == chars[start+len-1] { 13 l[start] = len == 2 ? 2 : lminus2[start+1] + 2 14 } else { 15 l[start] = max(lminus1[start+1], lminus1[start]) 16 } 17 } 18 lminus2 = lminus1 19 lminus1 = l 20 } 21 return l[0] 22 } 23 }
768ms
1 class Solution { 2 func longestPalindromeSubseq(_ s: String) -> Int { 3 let sArray = Array(s) 4 var cache = Dictionary<State, Int>() 5 return countPalindrome(sArray, 0, sArray.count - 1, &cache) 6 } 7 8 private func countPalindrome( 9 _ s: Array<Character>, 10 _ i: Int, 11 _ j: Int, 12 _ cache: inout Dictionary<State, Int>) -> Int { 13 let len = j - i + 1 14 if len == 1 { 15 return 1 16 } 17 let curEqual = s[i] == s[j] 18 guard i <= j else { return 0 } 19 let state = State(i: i, j: j) 20 guard cache[state] == nil else { return cache[state]! } 21 22 var totalPalin = Int.min 23 if curEqual { 24 totalPalin = 2 + countPalindrome(s, i + 1, j - 1, &cache) 25 } else { 26 totalPalin = max(totalPalin, countPalindrome(s, i + 1, j, &cache)) 27 totalPalin = max(totalPalin, countPalindrome(s, i, j - 1, &cache)) 28 } 29 cache[state] = totalPalin 30 return totalPalin 31 } 32 33 private struct State: Hashable { 34 var i: Int 35 var j: Int 36 } 37 }
784ms
1 class Solution { 2 func longestPalindromeSubseq(_ s: String) -> Int { 3 let chars = Array(s) 4 let N = chars.count 5 var dp = [[Int]](repeating: [Int](repeating: 0, count: N), count: N) 6 var i = N-1 7 while i >= 0 { 8 dp[i][i] = 1 9 for j in i+1..<N { 10 if chars[i] == chars[j] { 11 dp[i][j] = dp[i+1][j-1] + 2 12 } 13 else { 14 dp[i][j] = max(dp[i+1][j], dp[i][j-1]) 15 } 16 } 17 i -= 1 18 } 19 return dp[0][N-1] 20 } 21 }
816ms
1 class Solution { 2 func longestPalindromeSubseq(_ s: String) -> Int { 3 var dp:[[Int]] = Array(repeating: Array(repeating: 0, count: s.count), count: s.count) 4 let arr = Array(s) 5 for i in stride(from: arr.count - 1, to: -1, by: -1) { 6 dp[i][i] = 1 7 for j in i + 1..<arr.count { 8 if arr[i] == arr[j] { 9 dp[i][j] = dp[i + 1][j - 1] + 2 10 } else { 11 dp[i][j] = max(dp[i + 1][j], dp[i][j - 1]) 12 } 13 } 14 } 15 return dp[0][arr.count - 1] 16 } 17 }