Search Results for "linear program solver"
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Showing 257 open source projects for "linear program solver"
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astap program
Stacking program, astrometric (plate) solver, fits file viewer
ASTAP, Astrometric STAcking Program, astrometric solver and FITS image viewer. This program can view, measure, "astrometric (plate) solve" and stack deep sky images. Main features: - Stacking of astronomical images including dark frame and flat field correction - Native fast astrometric (plate) solver. - Alignment using an internal star match routine, internal Plate Solver, manual or ephemeris -
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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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POT
Python Optimal Transport
This open source Python library provides several solvers for optimization problems related to Optimal Transport for signal, image processing and machine learning. -
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Tulip.jl
Interior-point solver in pure Julia
Tulip is an open-source interior-point solver for linear optimization, written in pure Julia. It implements the homogeneous primal-dual interior-point algorithm with multiple centrality corrections and therefore handles unbounded and infeasible problems. Tulip’s main feature is that its algorithmic framework is disentangled from linear algebra implementations. This allows to seamless integration of specialized routines for structured problems. -
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The Operator Splitting QP Solver
The Operator Splitting QP Solver
OSQP uses a specialized ADMM-based first-order method with custom sparse linear algebra routines that exploit structure in problem data. The algorithm is absolutely division-free after the setup and it requires no assumptions on problem data (the problem only needs to be convex). It just works. OSQP has an easy interface to generate customized embeddable C code with no memory manager required. OSQP supports many interfaces including C/C++, Fortran, Matlab, Python, R, Julia, Rust. -
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Forget about sleepless nights over textbooks! Solver is an application that solves equations quickly and easily. • Solve equations of any type — from linear to the fourth degree. • Save time and effort — you won't have to learn anything else. • Import and export data — work with equations from files and save solutions in the desired format. Don't miss the chance to make learning math simple and effective!
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DiffOpt.jl
Differentiating convex optimization programs w.r.t. program parameters
DiffOpt.jl is a package for differentiating convex optimization programs (JuMP.jl or MathOptInterface.jl models) with respect to program parameters. Note that this package does not contain any solver. This package has two major backends, available via the reverse_differentiate! and forward_differentiate! methods, to differentiate models (quadratic or conic) with optimal solutions. Differentiable optimization is a promising field of convex optimization and has many potential applications in game theory, control theory and machine learning. ... -
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Equation Solver
Program that can solve any equation for real root/s
Program written in Delphi which uses two components available in the source code. The program is now fully functional; however, it was originally written to test the two components. -
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LinearSolve.jl
High-Performance Unified Interface for Linear Solvers in Julia
LinearSolve.jl is a unified interface for the linear solving packages of Julia. It interfaces with other packages of the Julia ecosystem to make it easy to test alternative solver packages and pass small types to control algorithm swapping. It also interfaces with the ModelingToolkit.jl world of symbolic modeling to allow for automatically generating high-performance code. Performance is key: the current methods are made to be highly performant on scalar and statically sized small problems, with options for large-scale systems. ... -
The All-in-One Commerce Platform for Businesses - ShopifyShopify is a leading all-in-one commerce platform that enables businesses to start, build, and grow their online and physical stores. It offers tools to create customized websites, manage inventory, process payments, and sell across multiple channels including online, in-person, wholesale, and global markets. The platform includes integrated marketing tools, analytics, and customer engagement features to help merchants reach and retain customers. Shopify supports thousands of third-party apps and offers developer-friendly APIs for custom solutions. With world-class checkout technology, Shopify powers over 150 million high-intent shoppers worldwide. Its reliable, scalable infrastructure ensures fast performance and seamless operations at any business size.
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NonlinearSolve.jl
High-performance and differentiation-enabled nonlinear solvers
...NonlinearSolve.jl is a unified interface for the nonlinear solving packages of Julia. The package includes its own high-performance nonlinear solvers which include the ability to swap out to fast direct and iterative linear solvers, along with the ability to use sparse automatic differentiation for Jacobian construction and Jacobian-vector products. NonlinearSolve.jl interfaces with other packages of the Julia ecosystem to make it easy to test alternative solver packages and pass small types to control algorithm swapping. It also interfaces with the ModelingToolkit.jl world of symbolic modeling to allow for automatically generating high-performance code. -
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Circuitscape.jl
Algorithms from circuit theory to predict connectivity
Circuitscape is an open-source program that uses circuit theory to model connectivity in heterogeneous landscapes. Its most common applications include modeling the movement and gene flow of plants and animals, as well as identifying areas important for connectivity conservation. The new Circuitscape is built entirely in the Julia language, a new programming language for technical computing. Julia is built from the ground up to be fast. As such, this offers a number of advantages over the... -
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BlockArrays.jl
BlockArrays for Julia
...This means that BlockArray supports fast noncopying extraction and insertion of blocks while PseudoBlockArray supports fast access to the full matrix to use in for example a linear solver. -
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Open Tax Solver
Calculates income tax form entries, helps do your taxes.
OTS is a safe, secure, easy-to-use program for calculating Tax Return Form entries, and determining your tax-owed or refund-due, for Federal or State personal income taxes. Includes updated versions for US 1040, Schedules A, B, C, D, and for several states. OTS provides both graphical and textual interfaces for quickly filing out your tax forms. --- Best way to download the correct version for your platform -- go to the OTS WEBSITE: =====> ... -
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EAGO.jl
A development environment for robust and global optimization
EAGO is an open-source development environment for robust and global optimization in Julia. EAGO is a deterministic global optimizer designed to address a wide variety of optimization problems, emphasizing nonlinear programs (NLPs), by propagating McCormick relaxations along the factorable structure of each expression in the NLP. Most operators supported by modern automatic differentiation (AD) packages (e.g., +, sin, cosh) are supported by EAGO and a number of utilities for sanitizing... -
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bridge studio
bridge double dummy solver. Preferance problems solver
This program is fast and powerful solver of bridge double dummy problems. Working with pbn and deepFinesse files, store problems to html. There is big library of dd problems presented. -
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Sokoban Solver Statistics
Statistics for the best Sokoban solver programs
This project presents statistics for the best Sokoban solver programs. Additionally, it features a Sokoban program for playing the game. -
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Beampath
Beam dynamics simulations in linear accelerators and beamlines
BEAMPATH is a 2D and 3D code for simulation of space charge dominated beam dynamics in linear particle accelerators and beam transport. The program is used for particle-in-cell simulation of axial-symmetric, quadrupole-symmetric and z-uniform beams in a channel containing RF gaps, radio-frequency quadrupoles, multipole lenses, solenoids, bending magnets, accelerating waveguides. Detailed description of model can be found in Y.K.Batygin, “Particle-in-cell code BEAMPATH for beam dynamics simulations in linear accelerators and beamlines” Nuclear Instruments and Methods in Physics Research A 539 (2005) 455–489. -
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linNet
The Software for symbolic Analysis of linear Electronic Circuits
linNet is an application to compute the transfer function of linear, electronic circuits. The computation is done symbolically, not numerically, and the result is a formula rather than a number or a series of such. The found formula is the Laplace transform of the dependencies of the voltages and currents in the circuit on the input voltages and currents. A linear electronic circuit is a combination of the supported basic devices; these are resistor, conductance, capacitor,... -
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Fosite - advection problem solver
numerical simulation code for solving transport equations in 1D/2D/3D
Fosite is a generic framework for the numerical solution of hyperbolic conservation laws in generalized orthogonal coordinates. Its main purpose is the simulation of compressible flows in accretion disks. The underlying numerical solution method belongs to the family of unsplit conservative finite volume TVD schemes. The method is 2nd order accurate in space and uses high order Runge-Kutta and multistep schemes for time evolution. In addition to the pure advection code several source terms... -
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TAS: Task assignment solver
Task assignment solver
Optimal task assignment problem solver for n tasks and m resources. Includes a Lua and a Python version of "Munkres' task assignment algorithm modified for rectangular matrices" by Robert Pilgrim in 1995 [https://www.researchgate.net/publication/290437481_Tutorial_on_Implementation_of_Munkres%27_Assignment_Algorithm], a Lua object-oriented programming version of the same program in the corresponding folder, and examples from Brian Clapper [https://pypi.org/project/munkres/#files]. ... -
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GSvit
Fast FDTD solver with graphics card support
Fast FDTD solver with graphics card support. Optimized for nanoscale optics - scanning near field optical microscopy, rough surface scattering and solar cells. Uses CUDA environment for graphics card operation. -
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libLSE
Linear Least Squares solver library written in C
LSE is aimed to be used in signal processing on small embedded systems with single precision floating-point unit. The main goals are low precision losses on large datasets and low memory footprint. -
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XFLR5
XFLR5 is an analysis tool for airfoils, wings and planes
XFLR5 includes the xfoil program for foil analysis, and several 3d analysis methods for planes : - a non-linear lifting line method for standalone wings - two vortex-lattice and a 3d panel method for the analysis of aerodynamic performance of wings and plane operating at low Reynolds numbers The latest v6 version introduces stability analysis of planes. -
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Structural Analysis Program for Civil Engineering.Can evaluate structures for static or dynamic seismic analysis. Dynamic analysis is made by accelerograms. Any analysis can be linear or non linear.
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PyTorch Implementation of SDE Solvers
Differentiable SDE solvers with GPU support and efficient sensitivity
...The program outputs figures to the path specified by <TRAIN_DIR>. Training should stabilize after 500 iterations with the default hyperparameters. examples/sde_gan.py learns an SDE as a GAN, as in [2], [3]. The example trains an SDE as the generator of a GAN, whilst using a neural CDE [4] as the discriminator.
