LeetCode 0097. Interleaving String Solution in Java, Python, C++, JavaScript, Go & Rust | Explanation + Code

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0097. Interleaving String

Description

Given strings s1, s2, and s3, find whether s3 is formed by an interleaving of s1 and s2.

An interleaving of two strings s and t is a configuration where s and t are divided into n and m substrings respectively, such that:

  • s = s1 + s2 + ... + sn
  • t = t1 + t2 + ... + tm
  • |n - m| <= 1
  • The interleaving is s1 + t1 + s2 + t2 + s3 + t3 + ... or t1 + s1 + t2 + s2 + t3 + s3 + ...

Note: a + b is the concatenation of strings a and b.

 

Example 1:

Input: s1 = "aabcc", s2 = "dbbca", s3 = "aadbbcbcac"
Output: true
Explanation: One way to obtain s3 is:
Split s1 into s1 = "aa" + "bc" + "c", and s2 into s2 = "dbbc" + "a".
Interleaving the two splits, we get "aa" + "dbbc" + "bc" + "a" + "c" = "aadbbcbcac".
Since s3 can be obtained by interleaving s1 and s2, we return true.

Example 2:

Input: s1 = "aabcc", s2 = "dbbca", s3 = "aadbbbaccc"
Output: false
Explanation: Notice how it is impossible to interleave s2 with any other string to obtain s3.

Example 3:

Input: s1 = "", s2 = "", s3 = ""
Output: true

 

Constraints:

  • 0 <= s1.length, s2.length <= 100
  • 0 <= s3.length <= 200
  • s1, s2, and s3 consist of lowercase English letters.

 

Follow up: Could you solve it using only O(s2.length) additional memory space?

Solutions

Solution 1: Memoization Search

Let's denote the length of string s_1 as m and the length of string s_2 as n. If m + n ≠ |s_3|, then s_3 is definitely not an interleaving string of s_1 and s_2, so we return false.

Next, we design a function dfs(i, j), which represents whether the remaining part of s_3 can be interleaved from the ith character of s_1 and the jth character of s_2. The answer is dfs(0, 0).

The calculation process of function dfs(i, j) is as follows:

If i ≥ m and j ≥ n, it means that both s_1 and s_2 have been traversed, so we return true.

If i < m and s_1[i] = s_3[i + j], it means that the character s_1[i] is part of s_3[i + j]. Therefore, we recursively call dfs(i + 1, j) to check whether the next character of s_1 can match the current character of s_2. If it can match, we return true.

Similarly, if j < n and s_2[j] = s_3[i + j], it means that the character s_2[j] is part of s_3[i + j]. Therefore, we recursively call dfs(i, j + 1) to check whether the next character of s_2 can match the current character of s_1. If it can match, we return true.

Otherwise, we return false.

To avoid repeated calculations, we can use memoization search.

The time complexity is O(m × n), and the space complexity is O(m × n). Here, m and n are the lengths of strings s_1 and s_2 respectively.

PythonJavaC++GoTypeScriptRustC#
class Solution: def isInterleave(self, s1: str, s2: str, s3: str) -> bool: @cache def dfs(i: int, j: int) -> bool: if i >= m and j >= n: return True k = i + j if i < m and s1[i] == s3[k] and dfs(i + 1, j): return True if j < n and s2[j] == s3[k] and dfs(i, j + 1): return True return False m, n = len(s1), len(s2) if m + n != len(s3): return False return dfs(0, 0)(code-box)

Solution 2: Dynamic Programming

We can convert the memoization search in Solution 1 into dynamic programming.

We define f[i][j] to represent whether the first i characters of string s_1 and the first j characters of string s_2 can interleave to form the first i + j characters of string s_3. When transitioning states, we can consider whether the current character is obtained from the last character of s_1 or the last character of s_2. Therefore, we have the state transition equation:

$$ f[i][j] = \begin{cases} f[i - 1][j] & \textit{if } s_1[i - 1] = s_3[i + j - 1] \ \textit{or } f[i][j - 1] & \textit{if } s_2[j - 1] = s_3[i + j - 1] \ \textit{false} & \textit{otherwise} \end{cases} $$

where f[0][0] = true indicates that an empty string is an interleaving string of two empty strings.

The answer is f[m][n].

The time complexity is O(m × n), and the space complexity is O(m × n). Here, m and n are the lengths of strings s_1 and s_2 respectively.

We notice that the state f[i][j] is only related to the states f[i - 1][j], f[i][j - 1], and f[i - 1][j - 1]. Therefore, we can use a rolling array to optimize the space complexity, reducing the original space complexity from O(m × n) to O(n).

PythonJavaC++GoTypeScriptC#PythonJavaC++GoTypeScriptC#
class Solution: def isInterleave(self, s1: str, s2: str, s3: str) -> bool: m, n = len(s1), len(s2) if m + n != len(s3): return False f = [[False] * (n + 1) for _ in range(m + 1)] f[0][0] = True for i in range(m + 1): for j in range(n + 1): k = i + j - 1 if i and s1[i - 1] == s3[k]: f[i][j] = f[i - 1][j] if j and s2[j - 1] == s3[k]: f[i][j] |= f[i][j - 1] return f[m][n](code-box)

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