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Data Structures & Algorithms Patterns Guide

A curated guide for pattern recognition, core data structures, and implementation speed. Use it to plan practice, track coverage, and rehearse solutions with a repeatable approach.

  • DSA Patterns

    Subsets and Permutations Problem Solving Patterns in Java

    Comprehensive guide to subset and permutation generation algorithms with iterative and recursive approaches, including time complexity analysis and practical implementation strategies.

  • DSA Patterns

    Finding Medians and Percentiles in Data Streams

    Comprehensive guide to solving median and percentile problems using heaps, binary search, and sliding window techniques in Java.

  • DSA Patterns

    Lower and Upper Bound in Sorted Arrays

    Complete Java solution for finding lower and upper bounds in sorted arrays using binary search with detailed complexity analysis and implementation trade-offs.

  • DSA Patterns

    Search in Rotated Sorted Array Java Solution

    Complete Java implementation of rotated sorted array search with binary search optimization and edge case handling for FAANG interviews.

  • DSA Patterns

    Binary Search Algorithm Implementation and Applications

    Complete Java solution for binary search with multiple use cases, time complexity analysis, and practical implementation patterns for FAANG interviews.

  • DSA Patterns

    Sorting and Merging Intervals in Java

    Complete Java solution for interval sorting problems including merge intervals, interval scheduling, and overlap detection with optimal time complexity.

  • DSA Patterns

    Merge Sort vs Quick Sort: Core Algorithm Comparison

    Comprehensive Java implementation and analysis of merge sort and quick sort algorithms with time complexity, space considerations, and practical trade-offs for FAANG interviews.

  • DSA Patterns

    Cycle Detection in Undirected Graphs Using Union-Find

    Complete Java solution for detecting cycles in undirected graphs using Union-Find disjoint set data structure with O(E α(V)) time complexity.

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