97. Interleaving String
mediumGiven strings s1, s2, s3, decide whether s3 is formed by interleaving the characters of s1 and s2 while preserving each string's relative order. Two pointers, two recursive branches — memoization saves you from exponential blow-up.
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Problem
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 they are divided into non-empty substrings such that: s = s1 + s2 + ... + sn, t = t1 + t2 + ... + tm, |n - m| <= 1, and 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.
Constraints
0 <= s1.length, s2.length <= 1000 <= s3.length <= 200s1, s2, and s3 consist of lowercase English letters.
Examples
Example 1
s1 = "aabcc", s2 = "dbbca", s3 = "aadbbcbcac"trueExplanation: 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
s1 = "aabcc", s2 = "dbbca", s3 = "aadbbbaccc"falseExplanation: Notice how it is impossible to interleave s2 with any other string to obtain s3.
Example 3
s1 = "", s2 = "", s3 = ""trueSolve it now
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Hints
Progressive — try the first before opening the next.
Hint 1
If s1.length + s2.length != s3.length, return false.
Hint 2
Recurse with (i, j) — pointers into s1 and s2. The pointer into s3 is i + j.
Hint 3
At (i, j): if s1[i] == s3[i+j], try recursing (i+1, j). If s2[j] == s3[i+j], try recursing (i, j+1). Either success returns true.
Hint 4
Memoize on (i, j) — there are O(m * n) states.
Solution approach
Reveal approach
If s1.length + s2.length != s3.length, return false. Define match(i, j) = can we form s3[0..i+j-1] from s1[0..i-1] and s2[0..j-1]? Base case: i == s1.length and j == s2.length -> return true. Recursive: result is false; if i < s1.length and s1[i] == s3[i + j], result = match(i + 1, j); if !result and j < s2.length and s2[j] == s3[i + j], result = match(i, j + 1). Memoize on (i, j). Iterative DP: dp[i][j] = match for prefixes of length i, j. dp[0][0] = true. dp[i][j] = (i > 0 and dp[i-1][j] and s1[i-1] == s3[i+j-1]) OR (j > 0 and dp[i][j-1] and s2[j-1] == s3[i+j-1]). Time and space O(m * n); the row-based DP gives O(min(m, n)) space.
Complexity
- Time
- O(m * n)
- Space
- O(m * n)
Related patterns
- recursion
- memoization
- dynamic-programming
Related problems
- 72. Edit Distance
- 115. Distinct Subsequences
- 1143. Longest Common Subsequence
Asked at
Companies reported asking this problem (sourced from public Glassdoor, Blind, and Levels.fyi interview posts).
- Amazon
- Microsoft
- Apple
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