Open Source Algorithms - Page 33

This repository implements Steven Fortune’s algorithm (sweep-line method) for generating Voronoi diagrams in JavaScript, providing a performant browser-side solution for computational geometry of planar point sets. With this library you can feed a set of sites (points) and compute their Voronoi cells – the partition of the plane into regions closest to each site – in O(n log n) time. It’s especially useful in web UIs, visualizations, interactive maps, and generative-art contexts where you need dynamic tessellations or diagrammatic layouts. The library exposes API functions for computing cells, retrieving neighbors, and drawing results into canvas or SVG. Because it is pure JavaScript and self-contained, it integrates easily with browser or Node.js applications without heavy dependencies. For developers exploring spatial algorithms, generative UI, or interactive diagrams, this codebase is a practical reference and tool to build upon.

An optimized java library for genetic algorithms. The library is designed to be fast and memory light, but still very easy to use.

The source code has been migrated and is now hosted on Github: https://github.com/jenetics/jenetics Jenetics is an advanced Genetic Algorithm, Evolutionary Algorithm and Genetic Programming library, respectively, written in modern day Java. It is designed with a clear separation of the several algorithm concepts, e. g. Gene, Chromosome, Genotype, Phenotype, Population and fitness Function. Jenetics allows you to minimize or maximize the given fitness function without tweaking it. In contrast to other GA implementations, the library uses the concept of an evolution stream (EvolutionStream) for executing the evolution steps. Since the EvolutionStream implements the Java Stream interface, it works smoothly with the rest of the Java Stream API. Other repositories: - https://github.com/jenetics/jenetics Maven: - https://mvnrepository.com/artifact/io.jenetics

http://jocdelavida.piposerver.com - Online implementation of Conway's Game of the Life 0 players game, but using entities based on the nature, like animals or plants who born, grow up, reproduces breed and die. Written in Java 6 and Adobe Flex 3.

This is an image coder with fixed sampling, at a rate of up to 24 images per second (on XC2V1000-4 @ 40 MHz with res. up to 352x288).

Joshua chess robot: a stepper motor robot interfaced with a photosensible board to play chess with an embedded artificial intelligence, a game database or and internet player. Software, robot photos, tech papers, schematics and cabling included. Enjo

An online judge system to judge the ACM-ICPC programming contests.

An implementation of "k-Way Merging" as described in "Fundamentals of Data Structures" by Horowitz/Sahni. NOTE: This project has been moved to http://code.google.com/p/kway/

Implementation of K-means algorithm on Cell Broadband Engine

An enhanced Simulator based on Agent Grid Repast.It has some bugs cleared from Agent Grid Repast and has enhanced features on Group Selection Policy.

Der KND Decoder konvertiert die lästigen Zahlenwerte, in den Java Dateien vom Knuddels Applet, zu lesbaren Strings. Die neue dekodier Methode wurde auch beachtet, die den HuffmanString etc. konvertiert.

A Visual Studio .NET C++ application can perform machine learning using genetic algorithm, naive bayes, KNN, and Artificial Neural Networks (ANNs) read and processed from any standard ARFF.

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions. Introductory text for Kalman and Bayesian filters. All code is written in Python, and the book itself is written using Juptyer Notebook so that you can run and modify the code in your browser. What better way to learn? This book teaches you how to solve all sorts of filtering problems. Use many different algorithms, all based on Bayesian probability. In simple terms Bayesian probability determines what is likely to be true based on past information. This book is interactive. While you can read it online as static content, it's better to use it as intended. It is written using Jupyter Notebook, which allows you to combine text, math, Python, and Python output in one place.

The project contains algorithms for locating the most central groups in complex networks. In particular implementations of various centrality measures and heuristic search algorithms. All functionality is exposed via XML-RPC for easier exploitation.

This is an algorithm which can be used to find multiple key strings in an text only scanning the text one time. It is a very good algorithm.

Kinyosoft AutoUpdate is a module to incorporate to a system with which we will be able to deposit the functionality of exhausts route web. Doing that our system turns out to be more amicable, with major functionality and scalability

A public domain C data structure library, with an emphasis on collections. Currently includes dynamic arrays and lists.

This program aims to check and gain a inner point from multiple set of linear constraints. This software works better in the case that range of variables are known and parameters are configured so. C++ and Eigen library needed, and to calculate more accurate, we may need mpfr++ library or, QD library. Freezed.

Korat is a tool for constraint-based generation of structurally complex test inputs for Java programs.

An ANSI C library of routines for rapid signal detection based on higher order statistical analysis.

L2 is a data structures library. Featured are self balancing BSTs and self balancing BST backed sequences, in memory B-trees and B-tree backed sequences, pointer sets, radix and critical bit trees. A few articles about L2 data structures and more here: https://dsxxi.home.blog/

LAITOR is a text mining software developed to find co-occurrence of biological entities (gene/protein terms) together with biointeractions and concepts term from customized dictionaries.

LASS : Library of Assembled Shared Source. Library of C++ code for scientific purposes.

The Local Binary Pattern (LBP) is a texture operator that is used in several different computer vision applications and implemented in a variety of platforms. When selecting a suitable LBP implementation platform, the specific application and its requirements in terms of performance, size, energy efficiency, cost and developing time has to be carefully considered. This is a software toolbox that collects software implementations of the Local Binary Pattern operator in several platforms: - OpenCL for CPU & GPU - OpenCL for GPU (branchless) - C code optimized for ARM - OpenGL ES 2.0 shaders mobile GPUs - C code for TI C64x DSP core (branchless) - C code for TTA processor synthesis If you use the code somewhere, please cite: Bordallo López M., Nieto A., Boutellier J., Hannuksela J., and Silvén O. "Evaluation of real-time LBP computing in multiple architectures," Journal of Real Time Image Processing, 2014

Applications involving data acquisition from sensors need samples at a preset frequency rate, the filtering out of noise and/or analysis of certain frequency components. We propose a novel software architecture based on open-software hardware platforms which allows programmers to create data streams from input channels and easily implement filters and frequency analysis objects. The performances of the different classes given in the size of memory allocated and execution time (number of clock cycles) were analyzed in the low-cost platform Arduino-Genuino. This library is free to use for research. Please cite above publication.