4 dépôts
Algorithms for finding optimal paths, such as the longest or shortest, within a two-dimensional grid structure.
Distinct from Shortest Path Algorithms: Focuses on grid-based path optimization specifically within dynamic programming contexts, distinct from general graph shortest path algorithms.
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This project is a curated educational resource and solution repository for algorithmic challenges, specifically focused on LeetCode problems. It serves as a technical reference for common data structures and algorithmic patterns, providing verified code implementations across multiple programming languages alongside detailed logic and complexity analysis. The repository functions as a comprehensive study guide for competitive programming and technical interview preparation. It includes specialized learning tools such as an Anki flashcard dataset for spaced repetition and a browser extension t
The project provides algorithmic solutions for finding the longest path in a grid with obstacles.
This project is an algorithm study resource, a centralized LeetCode solution repository, and a technical interview study guide. It provides Chinese translations of textbooks and guides on data structures and algorithms for academic study and professional preparation. The project distinguishes itself by delivering multi-language solution repositories and translated academic materials through a static site generation model. This architecture enables compile-time content translation and offline-first delivery of educational assets as static files. The repository covers a wide range of algorithm
Implements dynamic programming to count unique paths from start to finish in a grid.
Ce projet est une collection complète de bibliothèques et de toolkits C++ fournissant des implémentations de référence pour les structures de données, les algorithmes de graphes et la logique binaire. Il sert de référence d'algorithmes C++ contenant plus de 180 problèmes de programmation résolus et un toolkit spécialisé pour la programmation compétitive. Le dépôt se distingue par ses bibliothèques étendues de manipulation de bits de bas niveau pour les contrôles de parité, la détection d'endianness et la logique basée sur XOR. Il fournit également un large éventail de solutions de référence pour des défis algorithmiques complexes impliquant le backtracking, la théorie des graphes et la programmation dynamique. La surface de fonctionnalités couvre les organisateurs de données linéaires et hiérarchiques fondamentaux, y compris les listes chaînées, les piles, les files d'attente et les arbres de recherche binaire. Il inclut une suite complète d'algorithmes de graphes pour la recherche de chemin et les arbres couvrants, diverses méthodes de tri et de recherche, des transformations de matrices et des utilitaires de traitement de chaînes. De plus, il couvre les fonctions de calcul mathématique, la compression de données sans perte et les chiffrements cryptographiques de base.
Computes the number of distinct paths in a 2D grid using dynamic programming.
LeetCode-Swift is a collection of algorithm solutions written in Swift, designed for coding interview preparation. Each solution is implemented as a self-contained function with no external dependencies, making it easy to run and test. The repository organizes solutions by topic and company, and every file includes time and space complexity annotations, allowing quick evaluation of algorithmic efficiency. What sets this repository apart is its flat file structure and the way solutions are tagged with the companies that asked them in interviews, enabling targeted practice. All code resides in
Counts unique paths from top-left to bottom-right in a grid using 2D dynamic programming.