Showing 13 open source projects for "jump"

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  • 1
    SCIP.jl

    SCIP.jl

    Julia interface to SCIP solver

    SCIP.jl is a Julia interface to the SCIP solver. This wrapper is maintained by the SCIP project with the help of the JuMP community.
    Downloads: 0 This Week
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  • 2
    vim‑sneak

    vim‑sneak

    The missing motion for Vim

    vim‑sneak is a minimalist yet powerful navigation plugin for Vim, designed to jump to any location specified by two characters. It maintains compatibility with Vim's operators, macros, visual mode, repeat (.), and supports multibyte text. It provides intuitive highlights that disappear once the jump is completed. Sneak has <Plug> mappings for f and t 1-character-sneak. These mappings do not invoke label-mode, even if you have it enabled.
    Downloads: 0 This Week
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  • 3
    HiGHS.jl

    HiGHS.jl

    Julia wrapper for the HiGHS solver

    HiGHS.jl is a wrapper for the HiGHS solver.
    Downloads: 0 This Week
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  • 4
    SumOfSquares.jl

    SumOfSquares.jl

    Sum of Squares Programming for Julia

    SumOfSquares.jl is a JuMP extension that, when used in conjunction with MultivariatePolynomial and PolyJuMP, implements a sum of squares reformulation for polynomial optimization.
    Downloads: 0 This Week
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  • 5
    nvim-hlslens

    nvim-hlslens

    Hlsearch Lens for Neovim

    nvim-hlslens helps you better glance at matched information, and seamlessly jump between matched instances.
    Downloads: 0 This Week
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  • 6
    Coluna.jl

    Coluna.jl

    Branch-and-Price-and-Cut in Julia

    Coluna is a branch-and-price-and-cut framework written in Julia. You write an original MIP that models your problem using the JuMP modeling language and our specific extension BlockDecomposition offers a syntax to specify the problem decomposition. Then, Coluna reformulates the original MIP and optimizes the reformulation using the algorithms you choose. Coluna aims to be very modular and tweakable so that you can define the behavior of your customized branch-and-price-and-cut algorithm.
    Downloads: 1 This Week
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  • 7
    Polyhedra

    Polyhedra

    Polyhedral Computation Interface

    Polyhedra provides an unified interface for Polyhedral Computation Libraries such as CDDLib.jl. This manipulation notably includes the transformation from (resp. to) an inequality representation of a polyhedron to (resp. from) its generator representation (convex hull of points + conic hull of rays) and projection/elimination of a variable with e.g. Fourier-Motzkin.
    Downloads: 0 This Week
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  • 8
    Tulip.jl

    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.
    Downloads: 0 This Week
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  • 9
    InfiniteOpt.jl

    InfiniteOpt.jl

    An intuitive modeling interface for infinite-dimensional optimization

    A JuMP extension for expressing and solving infinite-dimensional optimization problems. InfiniteOpt.jl provides a general mathematical abstraction to express and solve infinite-dimensional optimization problems (i.e., problems with decision functions). Such problems stem from areas such as space-time programming and stochastic programming.
    Downloads: 0 This Week
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  • 10
    DiffOpt.jl

    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...
    Downloads: 0 This Week
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  • 11
    EAGO.jl

    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...
    Downloads: 0 This Week
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  • 12
    Catalyst.jl

    Catalyst.jl

    Chemical reaction network and systems biology interface

    ...Symbolic ReactionSystems can be used to generate ModelingToolkit-based models, allowing the easy simulation and parameter estimation of mass action ODE models, Chemical Langevin SDE models, stochastic chemical kinetics jump process models, and more. Generated models can be used with solvers throughout the broader SciML ecosystem, including higher-level SciML packages (e.g. for sensitivity analysis, parameter estimation, machine learning applications, etc).
    Downloads: 0 This Week
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  • 13
    TeNeM (Telecommunications Network Model) is a PostgreSQL schema with PL/pgSQL functions and triggers intended to make with a fiber optic network management. It is also a GIS JUMP plug-in to edit and visualize the data. PostGIS is used to extend Postgre.
    Downloads: 0 This Week
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