- DSA Problems
Longest Substring Without Repeating Characters Algorithm
Efficient Java solution for finding the longest substring with all unique characters using sliding window technique.
- DSA Problems
Valid Palindrome Problem Solution
Complete Java implementation for validating palindromes with detailed complexity analysis and edge case handling.
- DSA Problems
Valid Anagram Problem Solution
Complete Java implementation for checking if two strings are anagrams, covering multiple approaches with time and space complexity analysis.
- DSA Problems
Merge Sorted Array Algorithm Solution
Complete Java implementation of merging two sorted arrays with optimal time and space complexity for FAANG coding interviews.
- DSA Problems
Rotate Array by K Positions
Learn to rotate an array by k positions efficiently using reversal algorithm with O(1) space complexity.
- DSA Problems
Majority Element Problem Solution
Complete Java implementation for finding the majority element in an array with O(n) time and O(1) space complexity using Boyer-Moore Voting Algorithm.
- DSA Problems
Move Zeroes Algorithm Solution
Complete Java implementation for moving all zeroes to the end of an array while maintaining relative order of non-zero elements.
- DSA Problems
Maximum Subarray Problem Solution
Complete Java implementation of Kadane's algorithm for finding maximum subarray sum with O(n) time and space complexity analysis.
- DSA Problems
Best Time to Buy and Sell Stock Algorithm Solution
Complete Java implementation for maximizing profit from stock transactions with detailed time complexity analysis and trade-off considerations.
- DSA Problems
Find All Numbers Disappeared in an Array Java Solution
Complete Java implementation for finding disappeared numbers in array with optimal time and space complexity analysis.
- DSA Problems
Two Sum Algorithm Solution and Implementation
Complete Java solution for the classic Two Sum coding problem with optimal time and space complexity analysis.
FAANG Data Structures & Algorithms Problems Guide
A curated catalog of concrete data structures and algorithms problems. Use it to plan practice, track coverage, and rehearse solutions with a repeatable approach.