This repository is a curated guide and implementation library of coding patterns used to solve data structures and algorithms problems. It serves as a technical interview study resource, providing a comprehensive set of strategies and computational logic examples for optimizing time and space complexity.
The project focuses on standardized algorithmic patterns, including sliding windows, two pointers, and dynamic programming. It features specific implementations for a wide range of challenges, such as LeetCode problem solutions and specialized techniques like cyclic sort and bitwise XOR operations for parity tracking.
The codebase covers broad capability areas including array and string processing, linked list manipulation, and binary search variants. It also provides implementations for tree and graph traversals, combinatorial generation for subsets and permutations, and interval scheduling logic for managing overlapping time ranges.
Further technical coverage includes heap-based priority management for tracking extreme values and resource optimization strategies for minimizing connection costs.
