optoy | Because optimization is fun

 by   casadi Python Version: Current License: LGPL-3.0

kandi X-RAY | optoy Summary

kandi X-RAY | optoy Summary

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

Because optimization is fun!
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            kandi-support Support

              optoy has a low active ecosystem.
              It has 8 star(s) with 0 fork(s). There are 6 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 2 open issues and 0 have been closed. On average issues are closed in 1987 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of optoy is current.

            kandi-Quality Quality

              optoy has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              optoy is licensed under the LGPL-3.0 License. This license is Weak Copyleft.
              Weak Copyleft licenses have some restrictions, but you can use them in commercial projects.

            kandi-Reuse Reuse

              optoy releases are not available. You will need to build from source code and install.
              Build file is available. You can build the component from source.
              It has 836 lines of code, 50 functions and 12 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed optoy and discovered the below as its top functions. This is intended to give you an instant insight into optoy implemented functionality, and help decide if they suit your requirements.
            • Optimization algorithm .
            • Process integrator for integrals .
            • Minimization function .
            • Compute the Jacobian of a function .
            • Compute the value of e .
            • Get all primitives of el .
            • Solve the problem .
            • Sort constraints .
            • Computes the probability of an expression .
            • Constructs the integrator .
            Get all kandi verified functions for this library.

            optoy Key Features

            No Key Features are available at this moment for optoy.

            optoy Examples and Code Snippets

            No Code Snippets are available at this moment for optoy.

            Community Discussions

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

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

            Vulnerabilities

            No vulnerabilities reported

            Install optoy

            You can download it from GitHub.
            You can use optoy 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/casadi/optoy.git

          • CLI

            gh repo clone casadi/optoy

          • sshUrl

            git@github.com:casadi/optoy.git

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