Programming Techniques Guide¶
Welcome to the comprehensive guide to programming techniques and algorithms! This documentation covers essential techniques used in competitive programming, software development, and algorithmic problem-solving.
Categories & Techniques¶
Our techniques are organized into the following categories with their respective techniques:
| Category | Description | Techniques |
|---|---|---|
| 🔍 Brute Force & Search | Techniques for systematically exploring solution spaces and finding optimal solutions through exhaustive search methods. | Boolean Counter • Recursive Backtracking • Meet-in-the-Middle • Permutation Enumeration |
| 📊 Counting & Precomputation | Methods for efficiently counting elements, managing frequencies, and preprocessing data for faster queries. | Frequency Arrays • Prefix Arrays • Sieve of Eratosthenes |
| 🎯 Dynamic Programming | Advanced techniques for solving complex problems by breaking them down into simpler subproblems. | Top-Down & Bottom-Up • Bitmask DP • DP on Trees / Graphs |
| 🌐 Graph & Network Modeling | Algorithms and techniques for working with graphs, networks, and relational data structures. | DFS / BFS • Dijkstra / Bellman-Ford • Union-Find |
| 📐 Geometry & Spatial Modeling | Mathematical approaches for solving geometric and spatial problems efficiently. | Sweep Line • Convex Hull |
| 🔤 String & Bitwise Techniques | Specialized algorithms for string manipulation and bitwise operations. | KMP / Z Algorithm • Trie / Aho-Corasick • Bitmask Tricks |
| 🎮 Simulation & Modeling | Techniques for simulating real-world scenarios and modeling complex systems. | Two Pointer / Sliding Window • Binary Search on Answer • Greedy Algorithms |
| 🏗️ Data Structures | Essential data structures and their applications in algorithm design. | Segment Tree / BIT • Heap / Priority Queue • Disjoint Set (DSU) |
| 📐 Mathematical Formulas | Essential mathematical formulas and concepts for geometric, counting, trigonometric, and algebraic problems. | Geometric Formulas • Combinatorics & Counting • Number Theory • Trigonometry • Linear Algebra |
Getting Started¶
Each category contains: - Overview: Introduction to the category and its techniques - Individual Technique Pages: Detailed explanations with examples and use cases
Navigate through the categories using the sidebar or the tabs above to explore specific techniques.
Contributing¶
This documentation is designed to be a living resource. Feel free to contribute improvements, examples, or additional techniques!