xolotl
casadi
xolotl | casadi | |
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2 | 4 | |
43 | 1,554 | |
- | 1.7% | |
1.7 | 9.3 | |
about 1 year ago | 2 days ago | |
C++ | C++ | |
GNU General Public License v3.0 only | GNU Lesser General Public License v3.0 only |
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xolotl
casadi
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pyomo VS casadi - a user suggested alternative
2 projects | 5 Sep 2023
Interface for several solvers and integrators.
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(Direct) Collocation in (Time) Optimal Control
Howdy! Collocation methods can be... tricky. For NMPC control of vehicles, success has been had using direct multiple shooting. Also easier to implement and more intuitive. In fact, this example from the GH is pretty instructive: https://github.com/casadi/casadi/blob/master/docs/examples/python/race_car.py
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Are there any optimization libraries/packages that use automatic differentiation?
JuMP.jl (Julia) or casADi (Python) are good choices.
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Should I switch over completely to Julia from Python for numerical analysis/computing?
Python is not mature in this area. If you ask Google what Simulink for Python is, you get responses that point to dead libraries that were never feature complete and slow. The absolute closest is CASADI which is nice for some things but doesn't even have a true causal modeling interface and is mostly abandoned by the developers (they put a patch in every now and then, but just look at the commit graph), and it's slow compared to the Julia tools, so much so that PyBAMM is interfacing with ModelingToolkit.jl in Julia for a performance boost. Python is not the place to be for causal/acausal modeling or controls. Anyone who is saying "Python is mature" here is saying it in the abstract and not in the context of your actual question. Yes, Python has web development frameworks. No it does not have good libraries for tons of areas (control, acausal modeling, pharmacometrics, etc.).
What are some alternatives?
jsbsim - An open source flight dynamics & control software library
ceres-solver - A large scale non-linear optimization library
The-Powder-Toy - Written in C++ and using SDL, The Powder Toy is a desktop version of the classic 'falling sand' physics sandbox, it simulates air pressure and velocity as well as heat.
ModelingToolkit.jl - An acausal modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning and automated transformations of differential equations
Blender-FLIP-Fluids - The FLIP Fluids addon is a tool that helps you set up, run, and render high quality liquid fluid effects all within Blender, the free and open source 3D creation suite.
symbolic - A Symbolic Package for Octave using SymPy
webots - Webots Robot Simulator
ANMS-Codes - Efficient adaptive non-maximal suppression algorithms for homogeneous spatial keypoint distribution
symforce - Fast symbolic computation, code generation, and nonlinear optimization for robotics
CoreNeuron - Simulator optimized for large scale neural network simulations.
fricas - Official repository of the FriCAS computer algebra system