Teaching Kids Programming: Videos on Data Structures and Algorithms
Given two strings s and t, return true if s is a subsequence of t, or false otherwise. A subsequence of a string is a new string that is formed from the original string by deleting some (can be none) of the characters without disturbing the relative positions of the remaining characters. (i.e., “ace” is a subsequence of “abcde” while “aec” is not).
Example 1:
Input: s = “abc”, t = “ahbgdc”
Output: trueExample 2:
Input: s = “axc”, t = “ahbgdc”
Output: falseConstraints:
0 <= s.length <= 100
0 <= t.length <= 104
s and t consist only of lowercase English letters.Follow up: Suppose there are lots of incoming s, say s1, s2, …, sk where k >= 10^9, and you want to check one by one to see if t has its subsequence. In this scenario, how would you change your code?
Is Subsequence Algorithm via Two Pointer
We have learned the Two Pointer Algorithm (Teaching Kids Programming – Is Subsequence Algorithm via Two Pointer) to check if a string is a subsequence of another string.
1 2 3 4 5 6 7 8 9 10 11 12 13 | class Solution: def isSubsequence(self, s: str, t: str) -> bool: if len(s) > len(t): return False i = 0 j = 0 while i < len(s) and j < len(t): if s[i] == t[j]: i += 1 j += 1 else: j += 1 return i == len(s) |
class Solution: def isSubsequence(self, s: str, t: str) -> bool: if len(s) > len(t): return False i = 0 j = 0 while i < len(s) and j < len(t): if s[i] == t[j]: i += 1 j += 1 else: j += 1 return i == len(s)
The time complexity is O(N) where N is the length of the longer string t.
Is Subsequence Algorithm via Recursion + Greedy
We can define a Recursive Function takes take two parameters, the i and j indicating the current position for s and t respectively. Then we have two cases: if s[i] == s[t] or s[i] != s[t]. When we have a match, we can advance two pointers. Otherwise, we have to move the j pointer to next.
The idea is same as above two pointer approach, however implemented in Recursion.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 | class Solution: def isSubsequence(self, s: str, t: str) -> bool: if len(s) > len(t): return False def dfs(i, j): if i == len(s): return True if j == len(t): return False if s[i] == t[j]: return dfs(i + 1, j + 1) return dfs(i, j + 1) return dfs(0, 0) |
class Solution: def isSubsequence(self, s: str, t: str) -> bool: if len(s) > len(t): return False def dfs(i, j): if i == len(s): return True if j == len(t): return False if s[i] == t[j]: return dfs(i + 1, j + 1) return dfs(i, j + 1) return dfs(0, 0)
We can check from the end backwards as well:
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | class Solution: def isSubsequence(self, s: str, t: str) -> bool: if len(s) > len(t): return False def dfs(i, j): if i < 0: return True if j < 0: return False if s[i] == t[j]: return dfs(i - 1, j - 1) return dfs(i, j - 1) return dfs(len(s) - 1, len(t) - 1) |
class Solution: def isSubsequence(self, s: str, t: str) -> bool: if len(s) > len(t): return False def dfs(i, j): if i < 0: return True if j < 0: return False if s[i] == t[j]: return dfs(i - 1, j - 1) return dfs(i, j - 1) return dfs(len(s) - 1, len(t) - 1)
The time complexity is O(N) where N is the length for the longer string t.
String Subsequence Algorithms:
- Teaching Kids Programming – Is Subsequence Algorithm via Recursion (Greedy)
- Teaching Kids Programming – Is Subsequence Algorithm via Two Pointer
- The Subsequence Algorithm for Two Strings – How to Check if a String is Subsequence of Another?
- GoLang Function of Checking Is Subsequence
- Algorithms to Check if a String is a Subsequence String of Another String
- in Python, you can do this in Pythonic way: Python Function to Check Subsequence
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