casadi
NumCpp
casadi | NumCpp | |
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4 | 4 | |
1,554 | 3,390 | |
1.7% | - | |
9.3 | 6.4 | |
5 days ago | 5 months ago | |
C++ | C++ | |
GNU Lesser General Public License v3.0 only | MIT License |
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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.).
NumCpp
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Machine Learning using C++ vs Python
Yeah, as someone who writes C++ daily for their ML related job, I concur that the cost of executing a convolutions dwarves the overhead of calling from Python. So as much as I like C++ over Python (because static compilation to find little typos or type mismatches ahead of time is much nicer than exploding 5 minutes later into my batched vision recognition problem 😠), generally for small problems, Python is a nice quick and dirty approach. I do have my eye though on this little C++ numpy clone.
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Can i use numpy with c or c++ ?
Despite being written in C itself, the primary external API is for Python, and though it is possible to call via C, it's quite ungainly (several ref-counted Py_* calls and structs). It's probably easier to just consume a library that targets C++ directly like xtensor (https://xtensor.readthedocs.io/en/latest/numpy.html) or NumCpp (https://github.com/dpilger26/NumCpp).
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trouble with linspace functions
I am trying to feed 2 different 3 column 1 row arrays into a linspace function using the NumCPP package, but i'm getting errors such as:
- Read python pickle files in C++
What are some alternatives?
ceres-solver - A large scale non-linear optimization library
eigen
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
RxCpp - Reactive Extensions for C++
symbolic - A Symbolic Package for Octave using SymPy
examples - Example data structures and algorithms
jsbsim - An open source flight dynamics & control software library
vinum - Vinum is a SQL processor for Python, designed for data analysis workflows and in-memory analytics.
symforce - Fast symbolic computation, code generation, and nonlinear optimization for robotics
Data-Structures-and-Algorithms - Data Structures and Algorithms implemented In Python, C, C++, Java or any other languages. Aimed to help strengthen the concepts of DSA. Give a Star 🌟 if it helps you.
fricas - Official repository of the FriCAS computer algebra system
tuninglib - A C++ Class and Template Library for Performance Critical Applications