Search Results for "linear programming" - Page 3
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Showing 98 open source projects for "linear programming"
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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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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. -
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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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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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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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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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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...
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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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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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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... -
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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. -
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EGNLA
Heterogeneous cluster for acceleration of linear algebra computations
This project deals with a new concept of the heterogeneous grid for acceleration of the numerical linear algebra computing. We design this grid with respect to maximal ratio between cost and computational power. It allows a parallelization of scientific codes with minimal programming effort. We also optimize grid concept to be less sensitive to network parameters. -
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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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Simplex-in-PHP are PHP scripts that solve small linear programming and integer linear programming problems executing the simplex method step by step, printing the tableau and drawing the graphical analysis. Useful for students in Operational Research
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Stanford Machine Learning Course
machine learning course programming exercise
The Stanford Machine Learning Course Exercises repository contains programming assignments from the well-known Stanford Machine Learning online course. It includes implementations of a variety of fundamental algorithms using Python and MATLAB/Octave. The repository covers a broad set of topics such as linear regression, logistic regression, neural networks, clustering, support vector machines, and recommender systems. -
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fiftyfifty
fiftyfifty is a programming language and game
As you may recall, a Turing-machine is an all-purpose computer. A Turing-machine has a memory that consists of a track or line of data. On the track, a read-/write-head is moving. The read-write head itself is a state engine, which is affected by the input from the track, and which decides what to write on the track, and where to read the next input, by "moving" the head back or forth. In 5050, the part of the track left of the head is represented not by a line or stack of information,... -
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ViennaFEM
A finite element solver using state-of-the-art programming techniques.
ViennaFEM is a library-centric implementation of the finite element method in C++. It features a symbolic math kernel, which manipulates the strong or weak form of the problem and automatically derives the discrete form. ViennaFEM is built on top of the following libraries: ViennaMath provides the symbolic math kernel, ViennaGrid (with ViennaData) allows for a generic grid handling and quantity storage, while ViennaCL provides the linear solvers and GPU acceleration. -
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Software to solve Linear Programming problems applying the Revised Simplex Algorithm (2-Phase Method) and performing a Sensitivity Analysis too.
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OptimizeSNP
Selects SNPs and samples with known genotypes for microarray design
Program apply linear programming to minimize the number of microarrays and hybridization experiments that need to be undertaken in order to cover most of the predicted expressed SNPs.Dependencies:. 1) mampl.exe must be in system PATH 2) CPLEX 12.2 must be installed. cplexamp.exe must be in system PATH mampl.exe can be obtained from any program containing AMPL.
