galini | An extensible MINLP solver

 by   cog-imperial Python Version: v1.0.2 License: Apache-2.0

kandi X-RAY | galini Summary

kandi X-RAY | galini Summary

galini is a Python library. galini has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

An extensible MINLP solver
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            kandi-support Support

              galini has a low active ecosystem.
              It has 11 star(s) with 2 fork(s). There are 6 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 2 open issues and 9 have been closed. On average issues are closed in 320 days. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of galini is v1.0.2

            kandi-Quality Quality

              galini has 0 bugs and 0 code smells.

            kandi-Security Security

              galini has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              galini code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              galini is licensed under the Apache-2.0 License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              galini releases are available to install and integrate.
              Build file is available. You can build the component from source.
              It has 8620 lines of code, 764 functions and 149 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed galini and discovered the below as its top functions. This is intended to give you an instant insight into galini implemented functionality, and help decide if they suit your requirements.
            • Generate a problem
            • Return the violations of the triangle
            • Log a message
            • Log a message at level level
            • Solve the problem
            • Create a counter
            • Return the algorithm registered with the given name
            • Get a configuration group
            • Return a Node solution for a given node
            • Branch this node
            • Updates the node with the given solution
            • Iterate through the given problem
            • Checks if the current state has converged
            • Load a pyomo model
            • Collect subcommands
            • Resolve an inequality expression
            • Solve the problem with the given model
            • Initialize the matrix before starting at root
            • Return a table of available cuts
            • R Relax relaxation function
            • Execute a model with the given arguments
            • Generate the decision tree
            • Convert a relaxation leaf to root quadratic expressions
            • Generate cuts
            • Generates cuts
            • Generates cuts for the given problem
            Get all kandi verified functions for this library.

            galini Key Features

            No Key Features are available at this moment for galini.

            galini Examples and Code Snippets

            No Code Snippets are available at this moment for galini.

            Community Discussions

            No Community Discussions are available at this moment for galini.Refer to stack overflow page for discussions.

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install galini

            You can download it from GitHub.
            You can use galini like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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            CLONE
          • HTTPS

            https://github.com/cog-imperial/galini.git

          • CLI

            gh repo clone cog-imperial/galini

          • sshUrl

            git@github.com:cog-imperial/galini.git

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