Showing 14 open source projects for "optimization"

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    MCM-ICM

    MCM-ICM

    Mathematical Contest resources

    ...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.
    Downloads: 2 This Week
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  • 2
    gptoolbox

    gptoolbox

    Matlab toolbox for Geometry Processing

    gptoolbox is a comprehensive MATLAB toolbox for geometry processing, optimization, and image processing. It provides a wide range of utility functions for working with triangle and tetrahedral meshes, making it useful for tasks in computer graphics, computational geometry, and 3D modeling. The toolbox includes wrappers for external software such as TetGen, Triangle, QSlim, and meshfix, as well as functions for mesh smoothing, cleanup, deformation, and parameterization.
    Downloads: 1 This Week
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  • 3

    ntuacarlo

    A open-source implementation library of optimization algorithms

    ntuacarlo: library of open-source implementation of optimization algorithms for Matlab/GNU Octave The library implements matlab functions for the following optimization algorithms: Simulated Annealing Particle Swarm Optimization Monte Carlo Exhaustive search The signature of the functions follow the same as the ga() function of Matlab. All the functions support lower and upper bounds, linear and non-linear constraints, and integer variables.Octave
    Downloads: 0 This Week
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  • 4

    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 National Science Foundation or other funding sources. ...
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    Downloads: 31 This Week
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  • 5

    Optimizer_sovkov

    Constructing and optimizing general mathematical and physical models

    ...Currently, the main focus of these is computational quantum mechanics, analysis and simulation of molecular spectra, and general-purpose approximants. The package provides the most reliable modern strategies for linear and non-linear model optimization, regularization, and hypothesis tests. Parallel computing is supported.
    Downloads: 0 This Week
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  • 6
    Math Model

    Math Model

    Code, resources, and templates for mathematical modeling

    ...Chinese modeling contests, US undergraduate modeling competitions). It includes LaTeX templates for writing solutions, records of past contest problems and winning solutions, algorithm implementations in MATLAB / M scripts for optimization, intelligent algorithms, numerical methods, and model frameworks. In effect, it is a curated library of modeling code, papers, templates, and algorithm summaries tailored to competition preparation. Historical problem and solution archives from many contests. Summary of contest evaluation criteria and heuristics.
    Downloads: 0 This Week
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  • 7
    Algorithms Math Models

    Algorithms Math Models

    MATLAB implementations of algorithms

    Algorithms_MathModels is a large MATLAB collection of algorithms and solved examples targeted at students and teams preparing for mathematical modeling competitions (national and international contests like MCM/ICM). The repository gathers implementations and case studies across many topics commonly used in contest solutions: optimization (linear, integer, goal and nonlinear programming), heuristic and metaheuristic methods (simulated annealing, genetic algorithms, immune algorithms), neural networks and time-series methods, interpolation and regression, graph theory, cellular automata, grey systems, fuzzy models, partial/ordinary differential equations, and multivariate analysis, among others. ...
    Downloads: 0 This Week
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  • 8
    Mathematics

    Mathematics

    Accumulation of mathematical knowledge, matrix numerical optimization

    Mathematics is a comprehensive collection of notes, resources, and references spanning a wide range of mathematical topics. The repository organizes material across pure and applied mathematics, including calculus, linear algebra, probability, statistics, and optimization. It also extends into computational and algorithmic applications of mathematics, making it a useful reference for both academic study and practical problem-solving. The goal is to provide learners, researchers, and developers with a consolidated source of foundational and advanced mathematical concepts. By gathering a diverse set of topics into one repository, it supports continuous learning and interdisciplinary exploration. ...
    Downloads: 4 This Week
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  • 9
    CasADi
    A symbolic framework for C++, Python and Octave implementing automatic differentiation by source code transformation in forward and reverse modes on sparse matrix-valued computational graphs.
    Downloads: 8 This Week
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  • 10
    ADiGator

    ADiGator

    A MATLAB Automatic Differentiation Tool

    ...Furthermore, these calculations are written entirely in the native MATLAB language, and thus the process may be repeated to obtain nth order derivative files. The package is particularly appealing for applications where the same derivative must be found at multiple different points, i.e. non-linear root finding/optimization, stiff ode integration, etc.
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    Downloads: 6 This Week
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  • 11
    SparesPOP is a MATLAB implementation of a sparse semidefinite programming (SDP) relaxation method proposed for polynomial optimization problems (POPs). Please send a message to kojima-spop@is.titech.ac.jp if you have any question and/or request. We also release SparsePOPC++ and SparsePOPC++-windows. Both implementations are SparsePOP which does not use MATLAB, but only C++. In particular, SparsePOPC++-windows contains a binary file which works on Windows, and does not require to compile.
    Downloads: 1 This Week
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  • 12

    GPMfit

    Gaussian Process Model Fitting

    Gaussian Process model for fitting deterministic simulator output. Establish efficient and reliable likelihood optimization through hybridized DIRECT-BFGS and multi-start BFGS algorithms. Programming Language: Matlab.
    Downloads: 0 This Week
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  • 13
    UNLocBoX

    UNLocBoX

    UNLocBox (Matlab convex optimization toolbox)

    The UNLocboX is a matlab convex optimization toolbox part of the UnlocX project. It is composed of the most used algorithms such as forward backward, Douglas-Rachford, admm or ppxa. Moreover a collection of proximal operators is available in order to implement problems very efficiently.
    Downloads: 0 This Week
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  • 14

    metaopt

    Optimization toolbox for analyzing metabolic networks

    Metaopt contains direct C++ implementations of metabolic analysis methods based on flux optimization. It is mainly developed to solve thermodynamically constrained FBA and FVA (tFVA) efficiently.
    Downloads: 0 This Week
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