Search Results for "linux programming" - Page 2
Sort By:
Showing 139 open source projects for "linux programming"
View related business solutions-
AI-generated apps that pass security reviewRetool lets you generate dashboards, admin panels, and workflows directly on your data. Type something like “Build me a revenue dashboard on my Stripe data” and get a working app with security, permissions, and compliance built in from day one. Whether on our cloud or self-hosted, create the internal software your team needs without compromising enterprise standards or control.
-
Try Google Cloud Risk-Free With $300 in CreditUse your credit across every product. Compute, storage, AI, analytics. When it runs out, 20+ products stay free. You only pay when you choose to.
-
1
SparesPOP is a MATLAB implementation of a sparse semidefinite programming (SDP) relaxation method proposed for polynomial optimization problems (POPs). Please send a message to kojima-spop@is.titech.ac.jp if you have any question and/or request. We also release SparsePOPC++ and SparsePOPC++-windows. Both implementations are SparsePOP which does not use MATLAB, but only C++. In particular, SparsePOPC++-windows contains a binary file which works on Windows, and does not require to compile.
-
2
A java decision supporting application for the urban planning domain. It is designed as a desktop frontend to a Mixed Integer Programming engine. Actually it uses the GNU Linear Programming Kit (GLPK).
-
3
popt4jlib
Parallel Optimization Library for Java
popt4jlib is an open-source parallel optimization library for the Java programming language supporting both shared memory and distributed message passing models. Implements a number of meta-heuristic algorithms for Non-Linear Programming, including Genetic Algorithms, Differential Evolution, Evolutionary Algorithms, Simulated Annealing, Particle Swarm Optimization, Firefly Algorithm, Monte-Carlo Search, Local Search algorithms, Gradient-Descent-based algorithms, as well as some well-known... -
4
Freemat is an interpreted, matrix-oriented development environment for engineering and scientific applications, similar to the commercial package MATLAB. Freemat provides visualization, image manipulation, and plotting as well as parallel programming.
-
Gemini 3 and 200+ AI Models on One PlatformBuild generative AI apps with Vertex AI. Switch between models without switching platforms.
-
5
Arageli is a C++ library for computations in arithmetic, algebra, geometry, linear and integer linear programming. Arageli provides routines and classes that support precise, i.e. symbolic or algebraic, computations.
-
6
Witchcraft
Monads and other dark magic for Elixir
Witchcraft brings algebraic and category-theoretic abstractions—like semigroups, monoids, functors, applicatives, and monads—to Elixir in a pragmatic, protocol-driven way. It introduces a set of typeclass-style protocols and laws so data types can declare the operations they support and have those behaviors verified. The library encourages composability and pure transformations, letting you build pipelines where effects are modeled explicitly rather than hidden in ad-hoc helpers. Because the... -
7
Education Ellie
Learning software for children and autistic
What is? Students with learning difficulties or mental disabilities have knowledge level and teaching methods similar to students in the first cycle of basic education. This software aims to help in the learning of these pupils and students of primary. Why Ellie? Ellie name comes from the software mascot is an owl (symbol of knowledge) red, interacting with people and help using software. Authors and Contributors Originally the software was developed by Pedro Luzio @pedroluzio,... -
8
yacas
Computer calculations made easy
NOTE: Yacas and yagy development has moved to github. The new repositories are located at https://github.com/grzegorzmazur/yacas and https://github.com/grzegorzmazur/yagy . The mailing list has been moved over to https://groups.google.com/forum/#!forum/yacas . The downloads section at sourceforge will be kept up to date for the foreseable future. Yacas is an easy to use, general purpose computer algebra system. It uses its own programming language designed for symbolic as well as... -
9
PortOpt
A portfolio-optimizer using Markowitz(1952) mean-variance model
PortOpt [Portfolio Optimizer] is a C++ program (with Python binding) implementing the Markowitz(1952) mean-variance model with agent's linear indifference curves toward risk in order to find the optimal assets portfolio under risk. You have to provide PortOpt (in text files or - if you use the api - using your own code) the variance/covariance matrix of the assets, their average returns and the agent risk preference. It returns the vector of assets' shares that composes the optimal... -
Full-stack observability with actually useful AI | Grafana CloudBuilt on open standards like Prometheus and OpenTelemetry, Grafana Cloud includes Kubernetes Monitoring, Application Observability, Incident Response, plus the AI-powered Grafana Assistant. Get started with our generous free tier today.
-
10
OpenAxiom: Scientific Computation System
A system for computer algebra and symbolic mathematics
OpenAxiom is an open source Computer Algebra System. It offers an interactive environment, an expressive programming language, a compiler, a large set of mathematical libraries of interest to researchers and practitioners of computational sciences. -
11
GADfit
Global nonlinear optimization with automatic differentiation
NOTE: Development continued at GitHub! Current version is higher than 1.2.0. GADfit is a Fortran implementation of global nonlinear curve fitting, based on a modified Levenberg-Marquardt algorithm. Global fitting refers to fitting many datasets simultaneously with some parameters shared among the datasets. The fitting procedure is very fast and accurate thanks to the use of automatic differentiation. The model curves (fitting functions) can be of essentially arbitrary complexity. This... -
12
MOEA Framework
A Free and Open Source Java Framework for Multiobjective Optimization
The MOEA Framework is a free and open source Java library for developing and experimenting with multiobjective evolutionary algorithms (MOEAs) and other general-purpose multiobjective optimization algorithms. The MOEA Framework supports genetic algorithms, differential evolution, particle swarm optimization, genetic programming, grammatical evolution, and more. A number of algorithms are provided out-of-the-box, including NSGA-II, NSGA-III, ε-MOEA, GDE3 and MOEA/D. In addition, the MOEA... -
13
jointgen-c
A re-implementation of cl-jointgen in C
This is a re-implementation of cl-jointgen in the C programming language, for those that cannot get their head around Common Lisp. -
14
RPy is a very simple, yet robust, Python interface to the R Programming Language. It can manage all kinds of R objects and can execute arbitrary R functions (including the graphic functions).
-
15
The JAccumulator package brings the convenient type conversion and ad hoc composition capabilities of Javascript to Java programming structures. JAccumulator is dependent upon the Jupperware (http://jupperware.sf.net) to provide Javascript-like associative list capabilities and the convenience of easy hierarchical construction.
-
16
ocaml-glpk
OCaml bindings for GLPK
OCaml bindings for the GLPK (GNU Linear Programming Kit) library for solving linear programming and mixed integer programming problems. -
17
Trad4 is a fully concurrent, thread safe, graph-based programming language that scales linearly on multiple cores. It is initially intended for deployment in the financial industry to model real-time risk.
-
18
ExactCalc
Software for exact computing based on interval arithmetic.
1/3 is not 0.33. Pi is not 3.14. Actually 1/3 is in interval [0.33, 0.34] and pi is in interval [3.14, 3.15]. During computation truncating error is accumulating. At end of computation it is needed to know real boundaries of result. The solution is given by interval arithmetic. Simply speaking, because 1/3 is in interval [0.33, 0.34] and 1/7 is in interval [0.14, 0.15], value 1/3 - 1/7 must be in [0.18, 0.2]. Computation can be arbitrary long and complex but interval arithmetic gives... -
19
Block Matrix library
Highly efficient implementation of BLAS for sparse block matrices.
Highly efficient implementation of BLAS for sparse block matrices. Accelerated using heavy-duty C++ meta-programming, SIMD instructions and GPU. -
20
-
21
NOTE: This project was moved to: https://github.com/eetorres The MSMVTL is an easy to use Matrix and Vector template implementation for people who is learning numerical or simulation programming.
-
22
Please participate in the SURVEY on rgedit's future: https://www.surveymonkey.com/s/VNMMJMJ your answers are much appreciated! Gedit (Gnome editor, www.gedit.org) plug-in allowing it to become an easy-to-use and yet light-weight IDE for the statistical programming environment, R (www.r-project.org).
-
23
The Generic Graphics Toolkit is a library of generic programming primitives that allow applications to be written that adapt to whatever underlying graphics system the developer is using.
-
24
Myrtle
A simple programmable spreadsheet for learning statistics.
Myrtle is a simple programmable spreadsheet and statistical analysis software specifically designed for learning statistics. It provides the standard spreadsheet functionality one would expect like multiple tabbed sheets, relative and absolute row and column referencing in formulas, and a large catalog of built-in functions. Functions specific to logic and computer science, mathematics, probability, and statistics are available. Student's can easily create, customize, and update plots and... -
25
Dantzig-Wolfe Solver
An implementation of Dantzig-Wolfe decomposition built upon GLPK
An implementation of Dantzig-Wolfe decomposition built upon the GNU Linear Programming Kit. This is a command line tool for solving properly decomposed linear programs. There are several examples and some documentation to guide the use of this solver. Forked over to GitHub (see link).
