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Showing 128 open source projects for "problem a"
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OR-Tools - Google Optimization Tools
Google's software suite for combinatorial optimization
...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. Once you model your problem in your preferred programming language, you can then use any of OR-Tools’ available solvers. OR-Tools is an award-winning project, having won three gold medals in the 2020 MiniZinc Challenge, the international constraint programming competition. -
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MCM-ICM
Mathematical Contest resources
MCM-ICM is a curated archive of Outstanding Winner (“O-奖/特等奖”) solution papers from the Mathematical Contest in Modeling and the Interdisciplinary Contest in Modeling, spanning the early 2000s through recent years. The repository is organized by year, with per-year folders that collect the top-ranked reports and, in later years, additional materials such as problem statements or problem notes when available. It has evolved from a single-maintainer project into a collaborative effort, with different contributors stewarding successive year ranges so the collection stays current. The contents skew toward MATLAB and LaTeX, reflecting the tools most winning teams use to build models and typeset their reports; you’ll typically see complete write-ups alongside code that implements optimization, simulation, statistical analysis, or other modeling pipelines. -
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FastQC
A quality control analysis tool for high throughput sequencing data
FastQC is a quality control analysis tool designed to spot potential problems in high throughput sequencing datasets. Its goal is to provide a simple way by which to check the quality of raw sequence data coming from high throughput sequencing pipelines. It does this by running a modular set of analyses on one or more raw sequence files in fastq or bam format. It then produces a report summarizing the results, and highlighting any areas where the library may appear unusual. This should then... -
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JuMP
Modeling language for Mathematical Optimization
JuMP is a modeling language and collection of supporting packages for mathematical optimization in Julia. JuMP makes it easy to formulate and solve a range of problem classes, including linear programs, integer programs, conic programs, semidefinite programs, and constrained nonlinear programs. JuMP is used to solve large-scale inventory routing problems at Renault, schedule trains at Thales Inc., plan power grid expansion at PSR, and route school buses. -
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Mathematics Dataset
This dataset code generates mathematical question and answer pairs
...It generates question-and-answer pairs across a wide range of mathematical topics typically found in school-level curricula, testing a model’s ability to reason about algebra, arithmetic, calculus, probability, and more. Each question is programmatically generated with structured templates to ensure clear logic and reproducibility. The dataset enables models to learn mathematical problem-solving through examples that involve both numeric and symbolic reasoning. Version 1.0 includes over 2 million examples per category, with training splits labeled as “easy,” “medium,” and “hard,” supporting curriculum-based learning strategies. The data can be accessed via PyPI or generated locally using provided Python scripts, with outputs formatted for direct use in training or evaluation pipelines. -
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Open Source Routing Machine
Open Source Routing Machine - C++ backend
...Table computes the duration or distances of the fastest route between all pairs of supplied coordinates. Match snaps noisy GPS traces to the road network in the most plausible way. Trip solves the Traveling Salesman Problem using a greedy heuristic. Tile generates Mapbox Vector Tiles with internal routing metadata. To quickly try OSRM use our demo server which comes with both the backend and a frontend on top. The easiest and quickest way to setup your own routing engine is to use Docker images we provide. We base our Docker images (backend, frontend) on Debian and make sure they are as lightweight as possible. -
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A Matlab toolkit for all aspects of EEG/ERP analysis, especially PCA. If you run into a problem, please send me a note and I'll fix it. The tutorial pdf is in the documentation folder and the tutorial data can be downloaded from a link provided by the pdf. The tutorial file has full install instructions. For all platforms supported by Matlab.
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AntTSP
Traveling Salesman Problem (TSP) Solver
Fast Ant Colony Optimization TSP Solver -
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Digraph3
A collection of python3 modules for Algorithmic Decision Theory
...Technical documentation and tutorials are available under the following link: https://digraph3.readthedocs.io/en/latest/ The tutorials introduce the main objects like digraphs, outranking digraphs and performance tableaux. There is also a tutorial provided on undirected graphs. Some tutorials are problem oriented and show how to compute the winner of an election, how to build a best choice recommendation, or how to linearly rank or rate with multiple incommensurable performance criteria. Other tutorials concern more specifically operational aspects of computing maximal independent sets (MISs) and kernels in graphs and digraphs. -
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GRAMPC
A gradient-based augmented Lagrangian framework for embedded NMPC
GRAMPC is a nonlinear MPC framework that is suitable for dynamical systems with sampling times in the (sub)millisecond range and that allows for an efficient implementation on embedded hardware. The algorithm is based on an augmented Lagrangian formulation with a tailored gradient method for the inner minimization problem. GRAMPC is implemented in plain C with an additional interface to C++ and MATLAB/Simulink. The basic structure and usage of GRAMPC are described in the documentation that comes along with the source files. More details about the algorithm and its performance can be found in the corresponding article published in Optimization and Engeneering. ... -
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Continuation Core and Toolboxes (COCO)
Toolboxes for parameter continuation and bifurcation analysis.
Development platform and toolboxes for parameter continuation, e.g., bifurcation analysis of dynamical systems and constrained design optimization. This material is based upon work partially supported by the National Science Foundation under Grant No. 1016467 and the Danish research council (FTP) under the project number 0602-00753B. Any opinions, findings, and conclusions or recommendations expressed on this site are those of the authors and do not necessarily reflect the views of the... -
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Billiards Everything
The Great Periodic Path Hunt at gwtokarsky.github.io
Researchers, Mathematicians and Enthusiasts. Download "Billiards Everything" to discover new periodic billiard paths, an unresolved problem from 1775! Download "Billiards Covers" to see the most current list of periodic paths in triangles. Follow "The Great Periodic Path Hunt" at gwtokarsky.github.io for the latest news. Email tokarsky@ualberta.ca for feedback. -
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HungarianAlgorithm
An Ada implementation of the Hungarian Algorithm to minimize cost
The Hungarian algorithm can be described as optimally solving a workers versus jobs assignment problem that minimizes total cost. This implementation assumes a square cost matrix, i.e. the number of jobs equals the number of workers to do them. -
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RSM
Radiation Spectrum Method : a modal BPM (Beam Propagation Method)
RSM (Radiation Spectrum Method) is a 2D rigorous tool to solve the Maxwell equations for the propagation of light in integrated optics or photonics devices. It makes use of an EigenMode Expansion method (EME) to solve the electromagnetic problem. This software running on Windows and MacOS comes with a GUI that permits to define with the aid of files or scripts the arbitrary and complex geometry of the waveguide. Of that way any waveguide geometry can be handled. Several plots are available : refractive index plot, field propagation plot and modes spectrum plot. This permits, with the interpretation of the guided and radiation modes spectrum, a physical understanding of the propagation mechanisms in the integrated optical device under evaluation. ... -
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Billiards Covers
This zip jar contains the current coverings of periodic paths.
...Download "Billiards Covers" to see the most current list of periodic paths in triangles. Download "Billiards Everything" to discover new periodic billiard paths, an unresolved problem from 1775! Follow "The Great Periodic Path Hunt" at gwtokarsky.github.io for the latest news. Email tokarsky@ualberta.ca for feedback. -
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JQM Java Quine McCluskey
JQM - Java Quine McCluskey for minimization of Boolean functions.
Java Quine McCluskey (JQM) implements the Quine-McCluskey algorithm with Petrick’s Method for minimizing Boolean functions. Designed for both education and industrial application, it handles up to 16 variables and functions. Uniquely, JQM bridges the gap between theory and practice: it visualizes the solution process with generated Karnaugh Maps for students, while supporting PLC engineers by exporting results to Structured Text (ST) and Ladder Diagram (LD). The software includes a GUI for... -
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Frevo
Frevo is probably the simplest tool for evolutionary design
FREVO is an open-source framework developed in Java to help engineers and scientists in evolutionary design or optimization tasks. The major feature of FREVO is the componentwise decomposition and separation of the key building blocks for each optimization tasks. We identify these as the problem definition, solution representation and the optimization method. This structure enables the components to be designed separately allowing the user to easily swap and evaluate different configurations and methods or to connect an external simulation tool. The latest version in development is hosted at https://github.com/smartgrids-aau/Frevo -
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ImplicitCAD
A math-inspired CAD program in haskell. CSG, bevels, and shells
...Concepts like variables, control structures and abstraction are used, just as in programming. With the explosion of 3D printing, designing 3D objects has become an even more important problem. And it's a complicated one. We need to design complicated objects that precisely interface with each other. And often we don't want to just design a single object, but classes of objects, parameterized by variables. And we need to do this in collaboration. Generally, objects in programmatic CAD are built with Constructive Solid Geometry or CSG. ... -
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GECOOR
Generator of armchair nanotubes with specific bond lengths and angles
"GEnerator of atomic COORdinates for armchair nanotubes with specific bond lengths and angles. (gecoor) Gustavo Domínguez Rodríguez, Gabriel Iván Canto Santana, Jorge Alejandro Tapia Gonzalez, Cesar Alberto Cab Cauich A problem that arises when applying specific strain fields to nanostructures is knowing the atomic coordinate positions that produce the required structural parameters, such as bond lengths and angles. Due to this, a simple-to-use program is implemented within a command-line, for both Linux and MS Windows environments, to generate atomic coordinate files for later use in first-principles simulation codes. ... -
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polynomial-roots-calculation
Application for calculating the real roots of a polynomial
...But I have been able to make it work with a 40-degree polynomial, with two very proximal zeroes arround x=1000. It needs a precision of arround 60 digits. The problem comes with very-high degree polynomials. The higher is the degree, the faster the execution time increases. But for common examples, the application does the job well. You will find more about it at this web site: https://www.frojasg1.com:8443/downloads_web/web/html/raicesDePolinomios.html?origin=sourceforge -
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...It incorporates advanced modeling techniques with high-performance algorithms to deliver the latest in end-use load modeling technology integrated with three-phase unbalanced power flow, and retail market systems. Historically, the inability to effectively model and evaluate smart grid technologies has been a barrier to adoption; GridLAB-D is designed to address this problem. User documentation can be found at: http://gridlab-d.shoutwiki.com/wiki/Quick_links The source code is available from GitHub. See https://github.com/gridlab-d/gridlab-d. Issue tracking is handled by GitHub. See https://github.com/gridlab-d/gridlab-d/issues.
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OmicSelector
Feature selection and deep learning modeling for omic biomarker study
OmicSelector is an environment, Docker-based web application, and R package for biomarker signature selection (feature selection) from high-throughput experiments and others. It was initially developed for miRNA-seq (small RNA, smRNA-seq; hence the name was miRNAselector), RNA-seq and qPCR, but can be applied for every problem where numeric features should be selected to counteract overfitting of the models. Using our tool, you can choose features, like miRNAs, with the most significant diagnostic potential (based on the results of miRNA-seq, for validation in qPCR experiments). -
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The FMI++ Library
A High-level Utility Package for FMI-based Software Development
...On the other hand, such a low-level approach implies several prerequisites a simulation tool has to fulfill in order to be able to utilize such an FMI component. The FMI++ library addresses this problem for models and tools with interfaces according to the FMI specification by providing high-level functionalities, which ease the handling and manipulation of such models and tools. Furthermore, the FMI++ library provides utilities to implement FMI-compliant interfaces for a large class of simulation tools. The FMI++ library intends to bridge the gap between the basic FMI specifications and the typical requirements of simulation tools. ... -
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Qbsolv
A decomposing solver
Qbsolv,a decomposing solver, finds a minimum value of a large quadratic unconstrained binary optimization (QUBO) problem by splitting it into pieces solved either via a D-Wave system or a classical tabu solver. (Note that qbsolv by default uses its internal classical solver. Access to a D-Wave system must be arranged separately.) -
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...Interoperability at this level means libraries can drop their own caching implementations and easily rely on the one given to them by the framework, or another dedicated cache library. PSR-6 solves this problem already, but in a rather formal and verbose way for what the most simple use cases need. This simpler approach aims to build a standardized streamlined interface for common cases. It is independent of PSR-6 but has been designed to make compatibility with PSR-6 as straightforward as possible.
