What does phishman3579/java-algorithms-implementation do?

Este proyecto es una suite integral de implementaciones en Java para algoritmos estándar de ciencias de la computación, estructuras de datos, análisis de grafos y cálculos matemáticos. Proporciona una colección de implementaciones de referencia para contenedores de datos fundamentales, incluyendo árboles, montículos, mapas, tries y listas, junto con rutinas comunes de ordenamiento y búsqueda.

What are the main features of phishman3579/java-algorithms-implementation?

The main features of phishman3579/java-algorithms-implementation are: Data Structure Implementations, Graph Theory, Custom Data Structure Implementations, Java Implementation References, Algorithm Libraries, Element Search Algorithms, Graph Analysis Algorithms, Sorting Algorithms.

What are some open-source alternatives to phishman3579/java-algorithms-implementation?

Open-source alternatives to phishman3579/java-algorithms-implementation include: amejiarosario/dsa.js-data-structures-algorithms-javascript — This project is a computer science educational resource and library providing implementations of data structures and… loiane/javascript-datastructures-algorithms — This project is a library and educational resource providing implementations of foundational computer science data… xtaci/algorithms — This is a collection of classical algorithms and data structures implemented as a header-only C++ library. It provides… humanwhocodes/computer-science-in-javascript — This is a collection of classic computer science algorithms and data structures implemented from scratch in… jack-lee-hiter/algorithmsbypython — AlgorithmsByPython is a reference library and educational repository providing runnable Python implementations of… kelvins/algorithms-and-data-structures — This repository is a collection of fundamental computer science algorithms and data structures designed for…

Java Algorithms Implementation - implementa a…

Features

Data Structure Implementations - Provides reference implementations of fundamental data structures including trees, heaps, maps, tries, and lists.
Graph Theory - Implements mathematical libraries for modeling and solving problems with nodes and edges.
Custom Data Structure Implementations - Implements custom collections such as tries and heaps with specific complexity guarantees.
Java Implementation References - Offers reference Java implementations of trees, heaps, maps, and lists.
Algorithm Libraries - Provides a comprehensive library of standard computer science algorithms and data structures implemented in Java.
Element Search Algorithms - Provides multiple search implementations including binary, linear, and interpolation search.
Graph Analysis Algorithms - Provides implementations of core graph theory algorithms including shortest paths and minimum spanning trees.
Sorting Algorithms - Implements fundamental sorting algorithms such as quick, merge, heap, and radix sorts.
Sorting and Searching Implementations - Provides comprehensive implementations of essential sorting and searching routines like quicksort and binary search.
Linked Data Structures - Builds non-linear structures like trees and graphs using object references to connect nodes.
Memoization - Implements memoization to optimize recursive sequence problems and avoid redundant calculations.
Text String Manipulation Utilities - Provides utilities for string processing, including palindrome detection, edit distance, and character reversal.
Algorithm Implementation Workflows - Demonstrates proven Java patterns for building efficient sorting, searching, and string manipulation features.
Algorithm Implementations - Provides practical code implementations of classic computer science routines and design patterns.
Computer Science Education - Serves as a learning resource for fundamental algorithms and data structures via Java implementations.
Dynamic Programming Sequence Analysis - Implements sequence analysis capabilities for identifying common subsequences and increasing patterns using dynamic programming.
Dynamic Programming - Uses dynamic programming to optimize complex sequence problems and mathematical computations.
Mathematical Utilities - Implements advanced mathematical utilities including prime testing, modular arithmetic, and Fast Fourier Transforms.
Mathematical Computing Libraries - Provides mathematical routines for prime testing, modular arithmetic, and Fast Fourier Transforms.

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