Zygote-Mutating-Arrays-WorkAround.jl
A tutorial on how to work around ‘Mutating arrays is not supported’ error while performing automatic differentiation (AD) using the Julia package Zygote. (by rakeshvar)
NonlinearSolve.jl
High-performance and differentiation-enabled nonlinear solvers (Newton methods), bracketed rootfinding (bisection, Falsi), with sparsity and Newton-Krylov support. (by SciML)
Zygote-Mutating-Arrays-WorkAround.jl | NonlinearSolve.jl | |
---|---|---|
1 | 2 | |
29 | 206 | |
- | 12.1% | |
0.0 | 9.7 | |
over 3 years ago | 3 days ago | |
Jupyter Notebook | Julia | |
- | MIT License |
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.
Zygote-Mutating-Arrays-WorkAround.jl
Posts with mentions or reviews of Zygote-Mutating-Arrays-WorkAround.jl.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-08-09.
NonlinearSolve.jl
Posts with mentions or reviews of NonlinearSolve.jl.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-08-09.
-
Storing a zero found by NLsolve as a vector
I would highly suggest using NonlinearSolve.jl instead as it's more maintained. For this, the solution object is documented here: https://docs.sciml.ai/NonlinearSolve/stable/basics/NonlinearSolution/
- ModelingToolkit, Modelica, and Modia: The Composable Modeling Future in Julia
What are some alternatives?
When comparing Zygote-Mutating-Arrays-WorkAround.jl and NonlinearSolve.jl you can also consider the following projects:
JuliaTutorials - Learn Julia via interactive tutorials!
Unitful.jl - Physical quantities with arbitrary units
sparse - Sparse matrix formats for linear algebra supporting scientific and machine learning applications
DataScience - Data Science in Julia course for JuliaAcademy.com, taught by Huda Nassar
Zygote-Mutating-Arrays-WorkArou
Julia-DataFrames-Tutorial - A tutorial on Julia DataFrames package
Surrogates.jl - Surrogate modeling and optimization for scientific machine learning (SciML)
AeroSandbox - Aircraft design optimization made fast through modern automatic differentiation. Composable analysis tools for aerodynamics, propulsion, structures, trajectory design, and much more.
JuliaCall - Embed Julia in R
Zygote-Mutating-Arrays-WorkAround.jl vs JuliaTutorials
NonlinearSolve.jl vs Unitful.jl
Zygote-Mutating-Arrays-WorkAround.jl vs Unitful.jl
NonlinearSolve.jl vs sparse
Zygote-Mutating-Arrays-WorkAround.jl vs DataScience
NonlinearSolve.jl vs Zygote-Mutating-Arrays-WorkArou
Zygote-Mutating-Arrays-WorkAround.jl vs Julia-DataFrames-Tutorial
NonlinearSolve.jl vs Surrogates.jl
Zygote-Mutating-Arrays-WorkAround.jl vs AeroSandbox
Zygote-Mutating-Arrays-WorkAround.jl vs Zygote-Mutating-Arrays-WorkArou
Zygote-Mutating-Arrays-WorkAround.jl vs JuliaCall