rbfx | Game engine with extensive C # support and WYSIWYG editor | Game Engine library

 by   rokups C++ Version: Current License: MIT

kandi X-RAY | rbfx Summary

kandi X-RAY | rbfx Summary

rbfx is a C++ library typically used in Gaming, Game Engine applications. rbfx has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

Urho3D Rebel Fork aka rbfx is an experimental fork of Urho3D game engine. GitHub Wiki contains fork-specific documentation including build instructions and differences between original project and rbfx. Doxygen Documentation is cloned from original project and is not updated (yet?), although it still contains relevant information regarding core functionality of the engine. Note that rbfx is undergoing active developement. Please report all spotted bugs in the issue tracker.
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            kandi-support Support

              rbfx has a low active ecosystem.
              It has 452 star(s) with 80 fork(s). There are 37 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 44 open issues and 149 have been closed. On average issues are closed in 211 days. There are 7 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of rbfx is current.

            kandi-Quality Quality

              rbfx has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              rbfx is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              rbfx releases are not available. You will need to build from source code and install.
              It has 159777 lines of code, 445 functions and 578 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

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            rbfx Key Features

            No Key Features are available at this moment for rbfx.

            rbfx Examples and Code Snippets

            No Code Snippets are available at this moment for rbfx.

            Community Discussions

            QUESTION

            Can I convert pyomo internal variable to float
            Asked 2021-Oct-14 at 03:21

            I have defined an interpolation function in Python as:

            ...

            ANSWER

            Answered 2021-Oct-14 at 03:21

            A lot of info from this and you another threads. I will try to handle all as I can.

            The problem is not converting pyomo.IndexedVar to float, since when you create the variable in the pyomo model you can do it as a NonNegativeReal. This problem is rather the implicit convertion of not a number (In your code, m.lammda[i,1] is a class, not exactly a number. Even though it has a float value) with the float statement.

            As you stated in your comment in another thread, when you try to use the pyomo.environ.IndexedVar into the fitting (interpolation) function Rbf, you raise the TypeError of error trying to convert the an IndexedVar to float (internally in the Rbf function). To evaluate the value you can use model.m.lammda[i,1]() since calling the class returns you the value, but this still will not help, because another error will certainly raise

            I recommend you to visit this post to get more information about the potential difficulty of using an external function as a pyomo Constraint or Objective Function

            Pyomo got a Piecewise Function Library where you can model a linear (pyo.environ layer also got it in the pyo.environ.Piecewise) or multilinear interpolation, but you will need to work with the kernel layer, it use scipy to generate a Dlunay for the interpolation, you can check using help(pyomo.kernel.piecewise_nd). This surely may work to you, but it requires a little be of work.

            Source https://stackoverflow.com/questions/69551804

            QUESTION

            Pyomo, TypeError: 'numpy.ndarray' object is not callable
            Asked 2021-Oct-12 at 20:09

            I am trying to use scipy commands in Pyomo, an optimizer based in Python.

            My goal is to develop an optimal trajectory for aircraft in the presence of a wind field. I have data measurements at grid points. I have used scipy to generate the interpolation as

            ...

            ANSWER

            Answered 2021-Oct-12 at 20:09

            Let's setup a Rbf object:

            Source https://stackoverflow.com/questions/69543751

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

            Vulnerabilities

            No vulnerabilities reported

            Install rbfx

            You can download it from GitHub.

            Support

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          • HTTPS

            https://github.com/rokups/rbfx.git

          • CLI

            gh repo clone rokups/rbfx

          • sshUrl

            git@github.com:rokups/rbfx.git

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