Search Results for "mixed integer solver"
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Showing 24 open source projects for "mixed integer solver"
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OR-Tools - Google Optimization Tools
Google's software suite for combinatorial optimization
Google Optimization Tools, also known as OR-Tools is an open-source, fast and portable software suite for solving combinatorial optimization problems. These encompass problems in vehicle routing, flows, integer and linear programming, and constraint programming. This suite contains a number of solvers, namely: a constraint programming solver; a linear programming solver; wrappers for commercial solvers (like Gurobi or CPLEX) and other open source solvers (SCIP, GLPK, etc.); among others. OR-Tools is written in C++, but comes with wrappers for Python, C# and Java. ... -
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InferOpt.jl
Combinatorial optimization layers for machine learning pipelines
InferOpt.jl is a toolbox for using combinatorial optimization algorithms within machine learning pipelines. It allows you to create differentiable layers from optimization oracles that do not have meaningful derivatives. Typical examples include mixed integer linear programs or graph algorithms. -
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Convex.jl
A Julia package for disciplined convex programming
Convex.jl is a Julia package for Disciplined Convex Programming (DCP). Convex.jl makes it easy to describe optimization problems in a natural, mathematical syntax, and to solve those problems using a variety of different (commercial and open-source) solvers. Convex.jl works by transforming the problem—which possibly has nonsmooth, nonlinear constructions like the nuclear norm, the log determinant, and so forth—into a linear optimization problem subject to conic constraints. This... -
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whisper.cpp
Port of OpenAI's Whisper model in C/C++
whisper.cpp is a lightweight, C/C++ reimplementation of OpenAI’s Whisper automatic speech recognition (ASR) model—designed for efficient, standalone transcription without external dependencies. The entire high-level implementation of the model is contained in whisper.h and whisper.cpp. The rest of the code is part of the ggml machine learning library. The command downloads the base.en model converted to custom ggml format and runs the inference on all .wav samples in the folder samples.... -
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Optimization.jl
Mathematical Optimization in Julia
...It enables rapid prototyping and experimentation with minimal syntax overhead by providing a uniform interface to >25 optimization libraries, hence 100+ optimization solvers encompassing almost all classes of optimization algorithms such as global, mixed-integer, non-convex, second-order local, constrained, etc. It allows you to choose an Automatic Differentiation (AD) backend by simply passing an argument to indicate the package to use and automatically generates the efficient derivatives of the objective and constraints while giving you the flexibility to switch between different AD engines as per your problem. ... -
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Data Envelopment Analysis using Stata
Develop a user written Data Envelopment Analysis package in Stata.
...DEAS covers the basic models of DEA and extensions including CCR, BCC, SBM, Super-efficiency Model, Allocative Model(Profit, Revenue, Cost), (Global) Malmquist Productivity Index Model, Imprecise DEA, FDH, Additive Model, Virtual Price Model, linear programming(lp), mixed integer linear programming(MILP), and more. * Book "A Handbook of Data Envelopment Analysis using Stata" published in Amazon : https://www.amazon.com/-/ko/dp/B0FH6N3168/ref=tmm_hrd_swatch_0 -
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QScript
Expression and algorithm evaluator (built with Java)
V2.1.1 compatible with Processing 2 & 3. A powerful yet simple to use scripting language that can be used to evaluate expressions and simple algorithms. In fact it is the only evaluator I know that supports complex numbers and vectors without the need for additional configuration. The emphasis is on simplicity and extensibility and the website provides detailed guides to help you get the most of QScript. It supports variables, selection (IF-THEN-ELSE) and repetition (WHILE-WEND and... -
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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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HMD Mathematics
Numerical mathematics platform, Matlab alternative
Matlab alternative. Scilab alternative. GNU Octave alternative. Mathematics software for numerical computation. Ordinary differential equations solver and finite elements solver. It has a console script interpreter, as well as a graphical interface script interpreter, for entering equations and statements, and a line plot display. -
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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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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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Polynomial System Solver
pss5 is a polynomial system solver, under development.
The objective of this project is to build a general-purpose polynomials system solver. While a few of those programs are available, this one will incorporate recent mathematical advances on mixed volume computations, sparse condition numbers and condition-metric homotopy. -
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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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5.Kernelized qtl-haplotype mapping (HPC)
Fortran/R program for kernelized qtl-haplotype mapping by mixed model
Kernelized qtl-haplotype mapping (named KHAMMIX) is a Fortran/R program which performs parallel haplotype based scans of chromosomes, by mixed model analyses, for diploid organisms. Two kernels; the Gaussian and Van Raden kernels, are allowed for the mixed model analyses. The haplotypes are defined by a sliding window of L SNP markers (L is an integer greater or equal to 1). Hence, 2^L haplotypes can be (not necessarily) observed for a sliding window (e.g. 2^6=64 for L=6). ... -
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ICE (Interval Calculator for Engineer)
Interval Calculator for Engineer
ICE is a simple mathematical calculator with very useful shortcuts for Engineer: works natively with tolerance, can run Monte Carlo analysis, uses engineer notation, includes most of the day by day functions used by engineers. -
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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. -
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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. -
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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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The problem of packing small boxes into a larger box underlies a number of cutting, packing, scheduling, and transportation applications. This solver for the problem, based on integer linear programming relaxations, beats previous work by far.
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Java ILP is a simple java interface to (mixed) integer linear programming solvers such as lp_solve, Glpk, Gurobi, SAT4J (0-1 ILP), MiniSat+(0-1 ILP), CPLEX, or Mosek. (documentation at http://javailp.sourceforge.net/)
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Generic toolbox of Particle Swarm Optimization developed in Scilab (PSOTS). It is developed for a variety of complex problems, including single and multi-objective optimization problems, continuous and discrete problems, and mixed integer problems.
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natural sort / order of arrays, sorts integer, string and mixed arrays - also strings with numbers included will be ordered naturaly, natsort and natcasesort for javascript
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