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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

    Lowest Common Ancestor in Binary Trees and Graphs

    Comprehensive Java solution for finding the lowest common ancestor in binary trees, including iterative and recursive approaches with time complexity analysis.

  • DSA Patterns

    Binary Tree Diameter and Height Analysis

    Complete Java solution for calculating binary tree diameter, height, and balance with optimal time complexity and practical implementation considerations.

  • DSA Patterns

    Level Order Traversal of Binary Trees

    Complete Java solution for level order traversal with BFS approach, including edge case handling and time complexity analysis.

  • DSA Patterns

    Sliding Window Maximum Problem Solution

    Complete Java implementation of the sliding window maximum problem using deque data structure with O(n) time and space complexity analysis.

  • DSA Patterns

    Monotonic Deque Implementation and Applications

    Complete Java solution for monotonic queue using deque with detailed complexity analysis and practical applications.

  • DSA Patterns

    Breadth-First Search Queue Patterns in Java

    Comprehensive guide to BFS queue patterns including level-order traversal, shortest path finding, and multi-source exploration with practical Java implementations.

  • DSA Patterns

    Expression Evaluation Algorithms and Techniques

    Comprehensive guide to evaluating mathematical expressions using stack-based approaches, infix to postfix conversion, and operator precedence handling.

  • DSA Patterns

    Design and Implement a Min Stack Data Structure

    Complete Java solution for min stack problem with O(1) time complexity for all operations including getMin().

  • DSA Patterns

    Valid Parentheses Problem Solution

    Complete Java implementation for validating balanced parentheses using stack data structure with time and space complexity analysis.

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