dymos
Open Source Optimization of Dynamic Multidisciplinary Systems (by OpenMDAO)
build_pyoptsparse
python script to build/install pyoptsparse with IPOPT (and optionally SNOPT) (by OpenMDAO)
| dymos | build_pyoptsparse | |
|---|---|---|
| 4 | 1 | |
| 186 | 8 | |
| 0.5% | - | |
| 7.9 | 7.0 | |
| 5 days ago | 2 days ago | |
| Python | Python | |
| Apache License 2.0 | Apache License 2.0 |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
dymos
Posts with mentions or reviews of dymos.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-02-01.
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Optimal Control of a Formula 1 Car - Circuit de Barcelona-Catalunya
And the code here: https://github.com/OpenMDAO/dymos/tree/master/dymos/examples/racecar
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Dumb question but should I avoid putting the 'magic tyre formula' in my paper?
The paper (actually an 'individual report') is to discuss my contribution and results for a group project. The overall project is on improving our electric bike that take's part in the Isle of Man TT Zero, mostly by implementing battery and motor cooling systems. I've developed a fairly lightweight lap time simulator (using Dymos) that integrates transient models for the cooling system, allowing us to essentially simulate our cooling systems within the lap time simulator.
- How do I transform these complicated differential equations into more straightforward ones?
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Could someone help with the direction on an optimal control theory problem?
Referenced from one of the comments here: https://github.com/OpenMDAO/dymos/issues/369
build_pyoptsparse
Posts with mentions or reviews of build_pyoptsparse.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-02-01.
-
Could someone help with the direction on an optimal control theory problem?
My recommendation would be to see if you can get the cited simplified example case in that issue to work. That particular case is unlikely to work with a Scipy optimizer - you'll need IPOPT (free except some optional components) or SNOPT (commercially available but potentially expensive). This script here should help in getting pyoptsparse (an OpenSource python interface to a variety of optimizers) up and running: https://github.com/OpenMDAO/build_pyoptsparse
What are some alternatives?
When comparing dymos and build_pyoptsparse you can also consider the following projects:
SpiceyPy - SpiceyPy: a Pythonic Wrapper for the SPICE Toolkit.
apod-api - Astronomy Picture of the Day API service
HJxB - Continuous-Time/State/Action Fitted Value Iteration via Hamilton-Jacobi-Bellman (HJB)
robot - Functions and classes for gradient-based robot motion planning, written in Ivy.
robot - Functions and classes for gradient-based robot motion planning, written in Ivy. [Moved to: https://github.com/unifyai/robot]
SSP-MMC - A Stochastic Shortest Path Algorithm for Optimizing Spaced Repetition Scheduling