Search Results for "linear programming" - Page 2
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Showing 78 open source projects for "linear programming"
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ats2-lang
ATS2: Unleashing the potentials of types and templates
ATS is a statically typed programming language that unifies implementation with formal specification. It is equipped with a highly expressive type system rooted in the framework Applied Type System, which gives the language its name. In particular, both dependent types and linear types are available in ATS. ATS2 extends ATS with an advanced template system, allowing functional programming to be employed in a setting where only bare minimal run-time support is available. ... -
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lpsolve
Mixed Integer Linear Programming (MILP) solver.
Mixed Integer Linear Programming (MILP) solver lp_solve solves pure linear, (mixed) integer/binary, semi-cont and special ordered sets (SOS) models.lp_solve is written in ANSI C and can be compiled on many different platforms like Linux and WINDOWS This project is moved to github: https://lp-solve.github.io/ -
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An open source Solver-compatible optimization engine for Microsoft Excel on Windows and Mac using the Coin-OR CBC linear and integer programming optimizer. You can also use other solvers like Gurobi (if you have it installed), solvers on the NEOS cloud, and various non-linear solvers are supported too.
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GLPK for Java
Java language binding for the GNU Linear Programming Kit (GLPK)
GLPK for Java provides a Java language binding for the library GLPK. GLPK is a proven solver for linear and mixed integer mathematical programming problems. For Windows binaries see project GLPK for Windows (http://sourceforge.net/projects/winglpk/). -
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The Development System for Auditory Modelling (DSAM) is a computational library designed specifically for producing simulations of the auditory system. It brings together many established auditory models within a flexible programming platform.
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JuliaFEM.jl
The JuliaFEM software library is a framework
The JuliaFEM software library is a framework that allows for the distributed processing of large Finite Element Models across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage. The JuliaFEM software library is a framework that allows for the distributed processing of large Finite Element Models across clusters of computers using simple programming models. It is designed... -
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SONNET
SONNET (integer) linear optimisation in .NET
SONNET builds on top of the well-known COIN libraries for optimisation (see http://www.coin-or.org). It brings the power of (integer) linear programming projects of COIN to .NET. SONNET is licensed under the terms of the Eclipse Public License (EPL). SONNET consists of two parts: 1) A .NET library that consists of .NET wrapper classes around existing COIN classes such as OsiSolverInterface. 2) A .NET library implemented in C# that adds a powerful (rudimentary) modelling API with classes like Model, Constraint, Variable, Expression, etc, and overloaded operators to allow for things like Model model = new Model(); Variable x = new Variable(); Variable y = new Variable(); model.Add(2 * x + 3 * y <= 10); model.Objective = 3 * x + y; Solver solver = new Solver(model, typeof(OsiClpSolverInterface)); solver.Maximize(); Console.WriteLine(solver.ToSolutionString()); -
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OpenOCL Matlab
Optimal control, trajectory optimization, model-predictive control.
The Open Optimal Control Library is a software framework in Matlab/Octave for modeling optimal control problem. It uses automatic differentiation and fast non-linear programming solvers. It implements direct methods. In the backend it uses CasADi and ipopt. -
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A program that generates PLD (Programmable Logic Device) programming tables & LFSR/BIBLO (Linear Feedback Shift Register/Built In Logic Block Observer) signature for a function given by the user.
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Functional, Data Science Intro To Python
[tutorial]A functional, Data Science focused introduction to Python
The first section is an intentionally brief, functional, data science-centric introduction to Python. The assumption is a someone with zero experience in programming can follow this tutorial and learn Python with the smallest amount of information possible. The sections after that, involve varying levels of difficulty and cover topics as diverse as Machine Learning, Linear Optimization, build systems, command line tools, recommendation engines, Sentiment Analysis and Cloud Computing. -
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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).
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Win-Brash
A Windows Native Bourne Shell Interpreter
Win-Brash is a recoding, from scratch, of the Bourne shell as a native Microsoft Windows multi-threaded command line application. It uses Bourne shell syntax but recognizes Windows file names. The TAB key helps convert Unix style pathnames to fully valid windows pathnames. It also adds missing backslashes -- to reduce the need to always type two. For Documentation see: http://www.bordoon.com/brash To give brash.exe a try, use the download link to get winbrash-1.2.16.zip. Unzip... -
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GLPK for C#/CLI
Common language interface binding for the GLPK library.
GLPK for C#/CLI allows you to use the Gnu Linear Programming Kit with all .NET/Mono languages (C#, F#, Python, J#, Scala, Visual Basic, ...). Makefiles for Windows and Linux are provided. Windows binaries are provided by project GLPK for Windows, http://winglpk.sourceforge.net/. -
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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 network flow and other graph algorithms. ... -
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...Contact: Louis-Noel Pouchet <pouchet@cse.ohio-state.edu> Tomofumi Yuki <tomofumi.yuki@inria.fr> PolyBench is a benchmark suite of 30 numerical computations with static control flow, extracted from operations in various application domains (linear algebra computations, image processing, physics simulation, dynamic programming, statistics, etc.). PolyBench features include: - A single file, tunable at compile-time, used for the kernel instrumentation. It performs extra operations such as cache flushing before the kernel execution, and can set real-time scheduling to prevent OS interference...
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Computational Linear Algebra for Coders
Free online textbook of Jupyter notebooks
...Instead of emphasizing purely theoretical mathematics, the project takes a programming-oriented approach that helps developers understand how linear algebra algorithms are implemented in real computational systems. The course explores topics such as matrix decomposition, numerical stability, and optimization techniques that are essential for machine learning and data science applications. -
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H2O-3
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning
...The system operates as an in-memory computing platform that allows data scientists to train models quickly using distributed resources. It supports many machine learning algorithms including generalized linear models, gradient boosting machines, deep learning networks, and ensemble techniques. The platform provides interfaces for multiple programming languages such as Python, R, Java, and Scala, making it accessible to a wide range of developers and data scientists. H2O-3 integrates with big data technologies such as Hadoop and Apache Spark, enabling organizations to run machine learning workflows on large-scale data infrastructure. ... -
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CQU
Decision solver for Counting Quantifiers over Unary Predicates
...It also accepts Universally quantifies sentences over unary predicates, which are presented in the form of propositional clauses (classical Boolean logic clauses). This implementation employs minisat as the SAT solver. It also emplouys COIN-OR Clp linear programming solver, and inherit from it. Given a CQUSAT instance in normal form as input, the program returns a solution, if there is one. The implemented method employs dual Simplex Algorithm with Column Generation. At each iteration, a SAT instance is generated and a SAT Solver (minisat) decides its satisfiability. Details about CQUSAT, its normal form and this turing reduction can be found in the paper "CQUSAT.pdf" that comes with this package. ... -
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ChemStud
android app for engineers and scientists
Carryout unit conversions, perform definite integrals, solve for simultaneous equations and Ordinary Differential Equations from reaction data, solve for electrical engineering circuit problems and optimize linear programming problems -
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PortOpt
A portfolio-optimizer using Markowitz(1952) mean-variance model
...In order to minimise the variance it internally uses QuadProg++, a library that implement the algorithm of Goldfarb and Idnani for the solution of a (convex) Quadratic Programming problem by means of an active-set dual method. This solution is very efficient as it allows to solve hundred of thousand of portfolio problems in seconds. PortOpt runs as a text/console tool so it can be easily used in your own scripts. -
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Grammar based Combinatorial Solver
Solver with Applications in Computer Network Systems Design
The solver performs an exhaustive search on the space defined using simple formal language grammar constructs to identify solutions that meet the objective and constraints. It can be used to easily define complex discrete multi-dimensional combinatorial problems that are otherwise difficult to model using Mixed Integer Linear Programming solvers. The solver does not make any assumptions on continuity of the search space. The solver is implemented in PHP. A GoJS based visualization is provided for model's grammar. Two system design model samples are provided. One uses the solver to identify low power network design for Passive Optical Networks given a set of choices for provider and customer premises equipment and a set of optical domain constraints. ... -
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Bat2015
Bachelor of Science (Informatik)
The toolkit glpk supports methods for mixed integer linear programming (MILP). These methods solve Capital Budgeting Problems (CBP). Unfortunately, glpk does not support any multithreading and there is no feature to distribute problems via network connections. Today, this is a pitiable sight, because modern computer systems are coupled by networks and support multi threading. We create a distributed system with Apache thrift and the C-API of glpk. -
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JPOP is a pure java parallel optimization package based on the Optimization Java Package. It supports analytical gradients and Hessians for non-linear optimization. JPOP is based on uncmin in Fortran but employs java arrays and object oriented code.
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whatisthematrix.php
Matrix classes for PHP
A basic set of classes to handle Matrix and Linear Algerbra operations for the PHP programming language. This program currently contains the "Matrix" class as well as the "SparseMatrix" class. MIT Licensed. -
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ProteinLP
A linear programming model for protein inference problem
In this paper, we present a linear programming model (ProteinLP) for protein inference, which is built on two simple probability equations. ProteinLP is implemented in Java and can run on any Java Virtual Machine (JVM) regardless of computer architecture. Since ProteinLP introduces linear programming to solve protein inference problem, the software uses a standard LP software package, Glpk for Java (v4.47).
