OPTALG | Python package with optimization algorithms

 by   ttinoco Python Version: 1.1.8rc1 License: BSD-2-Clause

kandi X-RAY | OPTALG Summary

kandi X-RAY | OPTALG Summary

OPTALG is a Python library. OPTALG has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install OPTALG' or download it from GitHub, PyPI.

OPTALG is a Python package that provides algorithms, wrappers, and tools for solving optimization problems. Currently, it contains the following:.
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    Quality
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            kandi-support Support

              OPTALG has a low active ecosystem.
              It has 9 star(s) with 4 fork(s). There are 3 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 11 open issues and 27 have been closed. On average issues are closed in 143 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of OPTALG is 1.1.8rc1

            kandi-Quality Quality

              OPTALG has no bugs reported.

            kandi-Security Security

              OPTALG has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              OPTALG is licensed under the BSD-2-Clause License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              OPTALG releases are available to install and integrate.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.

            Top functions reviewed by kandi - BETA

            kandi has reviewed OPTALG and discovered the below as its top functions. This is intended to give you an instant insight into OPTALG implemented functionality, and help decide if they suit your requirements.
            • Solve problem
            • Evaluate the function at a given time series
            • Create a linear solver
            • Extracts the samples from the model
            • Solve the problem
            • Compute the derivative of the function
            • Convert the problem to a quadratic problem
            • Extract the components of the model
            • Solve a problem
            • Solve a subproblem
            • Evaluate the function
            • Compute the search direction
            • Solve a cplex problem
            • Reads a problem from a file
            • Return a MixIntLinProblem object
            • Factorize Ax = b
            • Run the job
            • Call MUMPS
            • Solve Ax = b
            • Analyze the matrix A
            • Factorize matrix A
            • Retrieves the primal variables
            • Set parameters
            • Factorizes A and solves A
            • Set the distributed assembled matrix
            • Write the polynomial to a file
            Get all kandi verified functions for this library.

            OPTALG Key Features

            No Key Features are available at this moment for OPTALG.

            OPTALG Examples and Code Snippets

            No Code Snippets are available at this moment for OPTALG.

            Community Discussions

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

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

            Vulnerabilities

            No vulnerabilities reported

            Install OPTALG

            You can install using 'pip install OPTALG' or download it from GitHub, PyPI.
            You can use OPTALG 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

            The documentation for this package can be found in http://optalg.readthedocs.io/.
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            Install
          • PyPI

            pip install OPTALG

          • CLONE
          • HTTPS

            https://github.com/ttinoco/OPTALG.git

          • CLI

            gh repo clone ttinoco/OPTALG

          • sshUrl

            git@github.com:ttinoco/OPTALG.git

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