Search Results for "linear programming" - Page 3
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Showing 113 open source projects for "linear programming"
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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... -
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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. Now, it is possible to use as many cores... -
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Firula
A Framework for Intelligible Branch-Cut-and-Price implementations
Firula (Framework for Intelligible Robust User-defined Linear-programming Algorithms) is a framework for implementing Branch-Cut-and-Price algorithms where the user needs only to define a mixed integer linear programming model for the master problem and provide a solver for each subproblem. All variables and constraints are identified by a character string in the API. It requires a linear programming solver to run. -
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FeedMU (pronounce feed-mew) is a simple feed formulation software. Users can manage animal requirements, ingredients composition, etc for formulating a well balanced diet. Least cost feed formulation by linear programming and other features are included.
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Pannon Optimizer
A simplex-based large-scale linear programming solver.
The Pannon Optimizer is an open-source simplex-based linear programming solver. It is designed for research purposes and is able to solve large-scale linear optimization problems. The Pannon Optimizer is still under development, currently in ALPHA version. -
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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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Neural Libs
Neural network library for developers
This project includes the implementation of a neural network MLP, RBF, SOM and Hopfield networks in several popular programming languages. The project also includes examples of the use of neural networks as function approximation and time series prediction. Includes a special program makes it easy to test neural network based on training data and the optimization of the network. -
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Java Beagle
A symbolic regression platform in java
Java beagle is my gratitude for genetic programming. It is based on beagle puppy, by open-beagle project. It is mainly designed for symbolic regression tasks. It implements a number of other algorithms for more efficient symbolic regression. These include lexicographic parsimony pressure, linear scaling and subtree caching. -
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whatisthematrix.java
Matrix classes for Java
A basic set of classes to handle Matrix and Linear Algerbra operations for the Java programming language. This program currently contains the "Matrix" class, "MatrixVector", as well as the "SparseMatrix" class. MIT Licensed. -
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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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cpR Chemical Pathology interface for R
A graphical user interface to R for use in Clinical Chemistry
This project is a graphical user interface to the R statistical programming language designed for use in Clinical Chemistry. It allows the user to perform Passing Bablok, Deming and Linear Regression and to produce high quality images in any file format for publication. The front end is written in Python 3.3 and PyQt4 and the form was designed using Qt4 Designer. The statistical analysis is written in R. The compiled binary was made with cx_freeze. This software is free and open-source... -
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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. -
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Linear Program Solver
Solve linear programming problems
Linear Program Solver (LiPS) is an optimization package oriented on solving linear, integer and goal programming problems. The main features of LiPS are: ● LiPS is based on the efficient implementation of the modified simplex method that solves large scale problems. ● LiPS provides not just an answer, but a detailed solution process as a sequence of simplex tables, so you can use it for studying/teaching linear programming. ● LiPS gives sensitivity analysis procedures, which allow us to study... -
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CLinearAlgebra
Matrix Algebra Implementation in C for AMS 210, Stony Brook University
The goal is to implement objects in C (as per Axel-Tobias Schreiner's book Object Oriented Programming with ANSI-C), to provide a suite of matrix tools. Current development is focused on basic procedural/functional programming without objects in order to implement the basic algorithms of matrix algebra. Algorithms are at first to follow from straightforward mathematical definitions, rather than to achieve computational efficiency or numerical accuracy. Basically, I'm trying to learn how... -
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CAUS was developed using Visual Basic Version 6.0. This software can be used for classifying constraints as either 'necessary' or 'redundant' in small-sized linear and 2-variable quadratic programming problems. This software is provided "as is" with no warranty of any kind. It is intended for demonstration purposes only. Acknowledgements: ----------------- CAUS was designed and developed by Ashok Krishnamurthy, Graduate Student (2000-2001), University of Windsor, ON, Canada.
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Simple2D
A simple Java library to simplify menial and advanced graphics & tasks
Simple2D is a Java library containing a plethora of tools with the aim of helping developers complete tasks from menial to advanced more easily than they could using the default Java API -
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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). -
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This is an interpreted programming language that is designed to teach young children the fundamentals of programming, hiding away from students the complex concepts of programming, such as parentheses, quotes, data types, arrays, while allowing them to understand the basic concepts of programming, and, move to a more advanced language. It also serves as an exapmle on how to create an interpreter with QBASIC. The interpreter is written in QBASIC, and is licensed under the GNU GPLv2. About...
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PCramer
Dense linear solver utilizing Cramer's rule in parallel
This code provides a linear solver based on a parallel application of Cramer's rule. The programming was done in 'C' leveraging the MPI-CH2 libraries for message passing between nodes. This implementation is for dense linear systems and all calculations are done with doubles. -
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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). -
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libfgen
Library for optimization using a genetic algorithm or particle swarms
libfgen is a library that implements an efficient and customizable genetic algorithm (GA). It also provides particle swarm optimization (PSO) functionality and an interface for real-valued function minimization or model fitting. It is written in C, but can also be compiled with a C++ compiler. Both Linux and Windows are supported. -
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This utility, lingen, implements evolution of native machine code via linear genetic programming. The assembly level code uses a subset of assembly language which manipulates and performs calculations using the floating point unit (FPU) of the CPU.
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Project Chronos
Chronos
UPDATE, Check out our new website where we will host all future updates and improvements. The Sourceforge site will no longer be maintained and updated. www.TheChronosProject.com Project Chronos is an open source time lapse rail. It is a fully features system that offers the same level of control as professional systems costing thousands of dollars. It is also the most accurate time lapse system available capable of making accurate movements 1/125th the width of a human hair. And the best... -
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ntccKMC
ntccKMC: A Kripke-structure-based model checker for ntcc
ntccKMC: A Kripke-structure-based linear-time-logic model checker for the Non-deterministic Timed Concurrent Constraint Programming (ntcc) calculus. Inspired by Jaime Arias' Python implementation and algorithms and Avispa's ntcc interpreter Developed by Mauricio Toro under Colciencia's React+ of the Avispa research group. -
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f2what
Lapack/quadprog QP for VBA/.Net/Java
F2what is an open source project to translate algorithmic fortran to a variety of languages (java, dotnet and VBA so far). It offers a Fortran77 parser with code transformations, variable disambiguation, and modular output to other programming languages. It also offers already translated versions of Lapack and quadprog to Java, .Net and VBA, to give access to SVD, LU, QR, Cholesky, eigenvalue decomposition, linear system solving and QP optimization in those three languages.