Search Results for "solver" - Page 5
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Showing 355 open source projects for "solver"
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Volunteer workshift scheduler
Volunteer workshift scheduler for a helpline service
Code written in Python finds the best possible schedule for volunteers while incorporating constrains and special requirements using CP-SAT Solver (Constraint Programming - boolean SATisfiability problem Solver). Java version is in development. The problem Arranging volunteers for a helpline service for the period of one month. There are three types of work that could be done on the same day: Phone shift: Every day. Chat shift: Mondays and Wednesdays. ... -
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nonogram
Nonogram solver editor
This is a nonogram solver and editor. You can create save and edit solve nonograms. Uses lanterna to display terminal screen. Stores previous calculations to solve other nonograms faster https://github.com/kutaybezci/nonogram "Sample nonograms taken from Maxi Bulmaca Kumral Yayıncılık by Fatma Eger" -
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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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Sudoku-Tk
Sudoku games and puzzle solver
Play and solve sudoku puzzles. Start from an empty grid, generate a puzzle or load one. The game is timed. The generated puzzles have a unique solution. Mistakes (twice the same number on the line / column / row) are highlighted in red. -
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austenite transformations simulator
A solver for austenite transformations simulation.
A console software which is a solver for austenite transformations simulation. It has a text file in/out interface. Also there is a windowed shell for the calculation result processind and import selected results to excel files. Thermodynamics and kinetic calculations. For MS Windows only. -
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Sudoku command line solver
Solve 9x9 Sudoku Puzzles Using A Command Line Utility
This tool written in C uses the Backtracking algorithm to solve Sudoku puzzles. The idea was born by participating a coding challenge of a German internet forum. https://www.coding-board.de/threads/coding-herbst-die-coding-board-de-coding-challenge.39297/ So it's rather made for fun. However, this code won in terms of speed. Unfortunately, the initiator of the contest has passed away in the meantime. R.I.P. Benjamin. -
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TSP Solver and Generator
Generate and solve Travelling Salesman Problem tasks
TSPSG is intended to generate and solve Travelling Salesman Problem (TSP) tasks. It uses Branch and Bound method for solving. An input is a number of cities and a matrix of city-to-city travel prices. The matrix can be populated with random values in a given range (useful for generating tasks). The result is an optimal route, its price, step-by-step matrices of solving and solving graph. The task can be saved in internal binary format and opened later. The result can be printed or saved as... -
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SoDiOpt
A numerical solver for optimization-constrained differential equations
SoDiOpt is a MATLAB-based code that performs numerical integration of Optimization-Constrained Differential Equations (OCDE). SoDiOpt provides efficient numerical solution of OCDE by using the optimality-based solution method. A sequence of DAE systems are generated and classical index-1 DAE simulator is applied to solve the derived DAE systems. -
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anaGo
Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition
anaGo is a Python library for sequence labeling(NER, PoS Tagging,...), implemented in Keras. anaGo can solve sequence labeling tasks such as named entity recognition (NER), part-of-speech tagging (POS tagging), semantic role labeling (SRL) and so on. Unlike traditional sequence labeling solver, anaGo doesn't need to define any language-dependent features. Thus, we can easily use anaGo for any language. In anaGo, the simplest type of model is the Sequence model. Sequence model includes essential methods like fit, score, analyze and save/load. For more complex features, you should use the anaGo modules such as models, preprocessing and so on. -
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Nonlinear Schrödinger equation (NSE) is a fundamental equation in nonlinear optics that describes the propagation of a pulse through a dispersive and nonlinear medium. Nonlinear Pulse Propagation Solver (NPP) is a program, written in C/C++, that solves NSE in an arbitrary waveguide. It has a user friendly interface, which allows a user to enter the pulse and waveguide parameters and execute simulations. The program can be invoked within MATLAB and any other scripting language. It can export the results in different formats including ASCII text “.txt” and MATLAB “.mat” format. ...
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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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SLAM++
high-performance nonlinear least squares solver for graph problems
SLAM++ is a minimalist implementation of incremental nonlinear least squares, containing lighting fast implementation of linear algebra on sparse block matrices. It is aimed for use in 3D reconstruction or robotics. -
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PyMathProg
An easy and flexible mathematical programming environment for Python.
PyMathProg is a Python reincarnation of AMPL and GNU MathProg modeling language, implemented in pure Python, connecting to GLPK via swiglpk. Create, optimize, report, change and re-optimize your model with Python, easily integrate database, plotting, etc. -
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QSS Solver
Modeling and simulation tool for continuous and hybrid systems.
UPDATE: ----------- This repository is no longer maintained, the new version of the QSS Solver is available at: https://github.com/CIFASIS/qss-solver -
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abumpack
Fortran library with the Abaqus user material subroutines UMAT/VUMAT
This library contains several of user material subroutines for implicit quasi-static (UMAT) and explicit dynamic (VUMAT) versions of the Abaqus solver. The project web site: http://abumpack.sf.net. The Abaqus is a proprietary finite element (FE) code ( http://www.3ds.com/products-services/simulia/products/abaqus/). Users can write subroutines for use with the Abaqus. Linear elastic, isotropic hardening plasticity, Gurson-Tvergaard-Needleman (GTN), Rousselier constitutive models are provided. ... -
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OpenHAM
Open source heat, air and moisture transport model
*WARNING*: Development on SF discontinued, moved to https://github.com/ghorwin/OpenHAM. An open source transport model implementation for heat, air and moisture transport in porous media. Console-based, cross-platform solver with bindings to pre- and postprocessing software. A reference implementation for the EN 15026 standard. -
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Potassco, the Potsdam Answer Set Solving Collection bundles tools for Answer Set Programming developed at the University of Potsdam, among them, the answer set solver clasp, the grounder gringo, and their combination clingo.
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Emmanuelle
Solver for some games
that is no know now. -
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BioFVM
3-D diffusion solver for biological problems
BioFVM is an open source diffusive transport solver for biological problems. It can solve for the diffusion of tens or hundreds of substrates on large 3-D domains. For simplicity, the code has minimal external dependencies. BioFVM was first published in: A. Ghaffarizadeh, S.H. Friedman, and P. Macklin. BioFVM: an efficient, parallelized diffusive transport solver for 3-D biological simulations. -
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Nifty Sim is a high-performance nonlinear finite element solver, developed at University College London. A key feature is the option of GPU-based execution, which allows the solver to significantly out-perform equivalent commercial packages.
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jalicanto
Traveling Salesman Problem "window time based" aproximate solver
Time based Traveling salesman problem solver. Using iterated local search algorithm, implements xkick perturbation Programmed in Java. A class to use the TSP Suite(Thomas Weise, Raymond Chiong, J ¨org L¨assig, Ke Tang, Shigeyoshi Tsutsui, Wenxiang Chen, Zbigniew Michalewicz, Xin Yao, Benchmarking Optimization Algorithms: An Open Source Framework for the Traveling Salesman Problem. 2014.),is implemented. -
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Coffee-Physics
A simple, lightweight physics engine written in CoffeeScript
...Because it is lightweight, it integrates easily with 2D renderers like Canvas or WebGL, and it is popular in generative art sketches and interactive experiments. The codebase emphasizes readability and hackability so learners can modify the solver, add new behaviors, or swap integrators without wading through engine internals. It’s ideal when you want expressive motion and playful dynamics rather than full rigid-body simulation. -
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CQU
Decision solver for Counting Quantifiers over Unary Predicates
---------------- cqusat 1.0 ---------------- cqusat is a conbstraint solver decides the satisfiability of a set of sentences containing 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. -
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Soduku-Solver
Soduku Solver solves 6x6 soduku of easy and medium level.
Soduku solver V 1.0 is Open Source project which solves the 6x6 Soduku problem of easy and medium level. It is a Open Source project which is available in github repository and this project welcome each contributor which helps to make this project better. Keywords : soduku solver , solve the soduku , soduku 6*6 , soduku 6x6 , solve my soduku problem , amazing software , artificial intelligence , best software , top software -
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Ulambator
boundary element based flow solver for microfluidics
Ulambator solves the depth-averaged Stokes equations using a boundary element method. The combination of both reduces the discretization effort from 3D to 1D. Hence the flow solver is well adapted to free interface flows in shallow geometries. The manual and tutorial codes are still being extended. New functions will be made available. For more user information please check http://lfmi.epfl.ch/ulambator
