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LeetCode 冥想:回文子串

王林
王林原創
2024-07-21 09:16:091042瀏覽

LeetCode Meditations: Palindromic Substrings

回文子字串的描述是:

給定一個字串 s,回傳其中回文子字串的數量

當向後讀與向前讀相同時,字串是回文

子字串是字串中連續的字元序列。

例如:

Input: s = "abc"
Output: 3
Explanation: Three palindromic strings: "a", "b", "c".

或:

Input: s = "aaa"
Output: 6
Explanation: Six palindromic strings: "a", "a", "a", "aa", "aa", "aaa".

此外,約束顯示 s 由小寫英文字母組成。


在上一個問題中,我們找到了找到給定字串中最長回文子字串的解。為了找到回文,我們使用了“中心擴展”方法,其中我們假設每個字元都是子字串的中間字元。因此,我們移動了左右指針。

Note
Checking a palindrome is easy with two pointers approach, which we've seen before with Valid Palindrome.

計算一個子字串中的回文數可能如下所示:

function countPalindromesInSubstr(s: string, left: number, right: number): number {
  let result = 0;
  while (left >= 0 && right < s.length && s[left] === s[right]) {
    result++;
    left--;
    right++;
  }

  return result;
}

只要我們在邊界內(左 >= 0 && 右 < s.length),我們就會檢查左右兩個字元是否相同 - 如果是,我們會更新結果並移動我們的結果指標。

但是,一旦您考慮一下,就會發現指標初始化的索引很重要。例如,如果我們將字串「abc」傳遞給 countPalindromesInSubstr,並且左指標位於 0,而右指標位於最後一個索引 (2),那麼我們的結果就是 0。

請記住,我們假設每個字符都是子字串的中間字符,並且由於每個單個字符也是一個子字串,因此我們將初始化左指針和右指針以指向字符本身。

Note
A character by itself is considered palindromic, i.e., "abc" has three palindromic substrings: 'a', 'b' and 'c'.

Let's see how this process might look like.

If we have the string "abc", we'll first assume that 'a' is the middle of a substring:

"abc"

left = 0
right = 0
currentSubstr = 'a'

totalPalindromes = 1 // A single character is a palindrome

Then, we'll try to expand the substring to see if 'a' can be the middle character of another substring:

"abc"

left = -1
right = 1
currentSubstr = undefined

totalPalindromes = 1

Now that our left pointer is out of bounds, we can jump to the next character:

"abc"

left = 1
right = 1
currentSubstr = 'b'

totalPalindromes = 2

Now, we'll update our pointers, and indeed, 'b' can be the middle character of another substring:

s = "abc"

left = 0
right = 2
currentSubstr = 'abc'

totalPalindromes = 2

Well, currentSubstr is not a palindrome. Now we update our pointers again:

s = "abc"

left = -1
right = 3
currentSubstr = undefined

totalPalindromes = 2

And, we're out of bounds again. Time to move on to the next character:

s = "abc"

left = 2
right = 2
currentSubstr = 'c'

totalPalindromes = 3

Shifting our pointers, we'll be out of bounds again:

s = "abc"

left = 1
right = 3
currentSubstr = undefined

totalPalindromes = 3

Now that we've gone through each character, our final result of totalPalindromes is, in this case, 3. Meaning that there are 3 palindromic substrings in "abc".

However, there is an important caveat: each time we assume a character as the middle and initialize two pointers to the left and right of it, we're trying to find only odd-length palindromes. In order to mitigate that, instead of considering a single character as the middle, we can consider two characters as the middle and expand as we did before.

In this case, the process of finding the even-length substring palindromes will look like this — initially, our right pointer is left + 1:

s = "abc"

left = 0
right = 1
currentSubstr = 'ab'

totalPalindromes = 0

Then, we'll update our pointers:

s = "abc"

left = -1
right = 2
currentSubstr = undefined

totalPalindromes = 0

Out of bounds. On to the next character:

s = "abc"

left = 1
right = 2
currentSubstr = 'bc'

totalPalindromes = 0

Updating our pointers:

s = "abc"

left = 0
right = 3
currentSubstr = undefined

totalPalindromes = 0

The right pointer is out of bounds, so we go on to the next character:

s = "abc"

left = 2
right = 3
currentSubstr = undefined

totalPalindromes = 0

Once again we're out of bounds, and we're done going through each character. There are no palindromes for even-length substrings in this example.


We can write a function that does the work of counting the palindromes in each substring:

function countPalindromes(s: string, isOddLength: boolean): number {
  let result = 0;
  for (let i = 0; i < s.length; i++) {
    let left = i;
    let right = isOddLength ? i : i + 1;
    result += countPalindromesInSubstr(s, left, right);
  }

  return result;
}

In our main function, we can call countPalindromes twice for both odd and even length substrings, and return the result:

function countSubstrings(s: string): number {
  let result = 0;
  result += countPalindromes(s, true); // Odd-length palindromes
  result += countPalindromes(s, false); // Even-length palindromes

  return result;
}

Overall, our solution looks like this:

function countSubstrings(s: string): number {
  let result = 0;
  result += countPalindromes(s, true); // Odd-length palindromes
  result += countPalindromes(s, false); // Even-length palindromes

  return result;
}

function countPalindromes(s: string, isOddLength: boolean): number {
  let result = 0;
  for (let i = 0; i < s.length; i++) {
    let left = i;
    let right = isOddLength ? i : i + 1;
    result += countPalindromesInSubstr(s, left, right);
  }

  return result;
}

function countPalindromesInSubstr(s: string, left: number, right: number): number {
  let result = 0;
  while (left >= 0 && right < s.length && s[left] === s[right]) {
    result++;
    left--;
    right++;
  }

  return result;
}

Time and space complexity

The time complexity is O(n2)O(n^2) O(n2) as we go through each substring for each character (countPalindromes is doing an O(n2)O(n^2) O(n2) operation, we call it twice separately.)
The space complexity is O(1)O(1) O(1) as we don't have an additional data structure whose size will grow with the input size.


Next up is the problem called Decode Ways. Until then, happy coding.

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