leetcode

🌟 Architectural Vision & System Design

This repository is structured as a Multi-Paradigm Algorithmic Engine. Rather than a simple collection of scripts, it represents a systematic approach to solving complex computational problems under strict resource constraints. The architecture is designed to showcase clean separation of concerns, optimal data structure selection, and automated documentation workflows.

┌────────────────────────┐      ┌────────────────────────┐      ┌────────────────────────┐
│   LeetCode Platform    │ ───> │  LeetHub v3 Webhook    │ ───> │   GitHub Repository    │
│  (Runtime Execution)   │      │  (CI/CD Sync Engine)   │      │ (Structured Portfolio) │
└────────────────────────┘      └────────────────────────┘      └────────────────────────┘

Core Data & System Flow

• Ingestion / Input: Problem definitions and constraints are ingested from the runtime platform. Input data structures (e.g., adjacency lists, binary trees, matrix grids) are parsed and mapped to optimal in-memory representations.
• Processing / Logic: Execution of optimized algorithms utilizing advanced paradigms such as Dynamic Programming (tabulation and memoization), Greedy heuristics, Backtracking, and Graph Theory (Dijkstra’s, Kahn’s topological sort).
• Persistence & Caching: Solutions are automatically synchronized via a