rbfx | Game engine with extensive C # support and WYSIWYG editor | Game Engine library
kandi X-RAY | rbfx Summary
kandi X-RAY | rbfx Summary
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.
Support
Quality
Security
License
Reuse
Top functions reviewed by kandi - BETA
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of rbfx
rbfx Key Features
rbfx Examples and Code Snippets
Community Discussions
Trending Discussions on rbfx
QUESTION
I have defined an interpolation function in Python as:
...ANSWER
Answered 2021-Oct-14 at 03:21A 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.
QUESTION
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 20:09Let's setup a Rbf
object:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install rbfx
Support
Reuse Trending Solutions
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
Find more librariesStay Updated
Subscribe to our newsletter for trending solutions and developer bootcamps
Share this Page