wyvern
casadi
| wyvern | casadi | |
|---|---|---|
| 2 | 4 | |
| 54 | 1,553 | |
| - | 4.4% | |
| 3.5 | 9.3 | |
| 7 months ago | 6 days ago | |
| C++ | C++ | |
| GNU General Public License v3.0 only | GNU Lesser General Public License v3.0 only |
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wyvern
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Lazy Let: A Cheap Way and Easy Way to Add Lazyness
We have implemented automatic "lazification" of function arguments at the level of the LLVM IR. We released the code last year.
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Lazification of Function Arguments
For those interested, the code is here: https://github.com/lac-dcc/wyvern
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?
regal86 - Register Allocator for 8086
ceres-solver - A large scale non-linear optimization library
jank - A Clojure dialect hosted on LLVM with native C++ interop
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
symforce - Fast symbolic computation, code generation, and nonlinear optimization for robotics
symbolic - A Symbolic Package for Octave using SymPy
rangeless - c++ LINQ -like library of higher-order functions for data manipulation
jsbsim - An open source flight dynamics & control software library
PochiVM - Lightweight framework for easy and efficient code generation
faust - Functional programming language for signal processing and sound synthesis
fricas - Official repository of the FriCAS computer algebra system