Data Structures & Algorithms (DSA) Portfolio

A centralized repository dedicated to tracking daily problem-solving consistency, algorithmic optimizations, and core data structure implementations using Java. This portfolio serves as direct proof of foundational logic, analytical thinking, and code execution efficiency.

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📈 Complexity Matrix Reference

Every solution implemented in this repository is thoroughly benchmarked for both execution speed and memory footprints using Big O notation.

Complexity Class	Notation	Target Scenario
Constant Time	$O(1)$	Direct hash lookups, array index modifications
Logarithmic Time	$O(\log n)$	Binary Search implementations, balanced tree traversals
Linear Time	$O(n)$	Single-pass array traversals, sliding window boundaries
Linearithmic Time	$O(n \log n)$	Optimized sorting runtimes (Merge Sort, Quick Sort)
Quadratic Time	$O(n^2)$	Avoided in production / Optimized via structural pointers

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📁 Repository Schema

data-structures-and-algorithms/
│
├── concepts/                       # Low-level Data Structure Blueprints
│   ├── arrays/                     # Dynamic resizing allocations & matrix operations
│   ├── linkedlists/                # Singly, Doubly, and Circular structural tracking
│   ├── stacks_queues/              # LIFO and FIFO custom logic constraints
│   └── trees_graphs/               # Node traversals (DFS, BFS) and binary trees
│
└── leetcode-solutions/             # Production-ready Interview Problem Solves
    ├── easy/                       # Foundational logic checks (Strings, Two-Pointers)
    ├── medium/                     # Core optimization problems (Sliding Window, Hashing)
    └── hard/                       # Complex multi-variable logic paths