StackoverflowTips: Cheatsheet for choosing the right algorithm for string problems

Here's a cheatsheet for choosing the right algorithm for string problems, focusing on the most asked interview string problems in Microsoft interviews:

Problem	Algorithm	Time Complexity	Space Complexity
Longest Substring Without Repeating Characters	Sliding Window	O(n)	O(min(n, m))
Longest Palindromic Substring	Dynamic Programming	O(n^2)	O(n^2)
Anagram Detection	Hashing	O(n)	O(n)
String Compression	Run-Length Encoding	O(n)	O(n)
KMP Algorithm	KMP	O(n + m)	O(m)
Rabin-Karp Algorithm	Rabin-Karp	O(n + m)	O(1)
Find Duplicate Characters	Hashing	O(n)	O(n)
First Non-Repeating Character	Hashing	O(n)	O(n)
Reverse a String	Two Pointers	O(n)	O(1)
Palindrome Check	Two Pointers	O(n)	O(1)

Here's a brief explanation of each algorithm:

Sliding Window: Useful for substring problems, especially with contiguous sequences.

Dynamic Programming: Suitable for problems with overlapping subproblems or optimal substructure.

Hashing: Effective for fast lookup or counting.

KMP Algorithm: Efficient for pattern matching in strings.

Rabin-Karp Algorithm: Uses hashing for pattern matching.

Two Pointers: Useful for comparing or manipulating two strings.

This cheatsheet should help you quickly recall the most suitable algorithm for common string problems in Microsoft interviews.