NonlinearSolve.jl VS Surrogates.jl

Compare NonlinearSolve.jl vs Surrogates.jl and see what are their differences.

NonlinearSolve.jl

High-performance and differentiation-enabled nonlinear solvers (Newton methods), bracketed rootfinding (bisection, Falsi), with sparsity and Newton-Krylov support. (by SciML)
nonlinear-equations steady-state equilibrium deep-equilibrium-models bracketing newton-raphson sparse-matrices high-performance-computing differential-equations Factorization Julia newton-krylov newton-method scientific-machine-learning Sciml sparse-matrix
Source Code
docs.sciml.ai
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Surrogates.jl

Surrogate modeling and optimization for scientific machine learning (SciML) (by SciML)
surrogate-models surrogate-based-optimization surrogates surrogate Sciml scientific-machine-learning high-performance-computing automatic-differentiation differential-equations Julia Optimization
Source Code
docs.sciml.ai
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NonlinearSolve.jl Surrogates.jl
2 1
204 313
20.6% 1.6%
9.8 8.8
5 days ago 20 days ago
Julia Julia
MIT License GNU General Public License v3.0 or later
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.

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.

Surrogates.jl

Posts with mentions or reviews of Surrogates.jl. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-05-28.

What are some alternatives?

When comparing NonlinearSolve.jl and Surrogates.jl you can also consider the following projects:

Unitful.jl - Physical quantities with arbitrary units

NeuralPDE.jl - Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation

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.

DiffEqOperators.jl - Linear operators for discretizations of differential equations and scientific machine learning (SciML)

sparse - Sparse matrix formats for linear algebra supporting scientific and machine learning applications

Optimization.jl - Mathematical Optimization in Julia. Local, global, gradient-based and derivative-free. Linear, Quadratic, Convex, Mixed-Integer, and Nonlinear Optimization in one simple, fast, and differentiable interface.

Zygote-Mutating-Arrays-WorkArou

NonlinearSolve.jl vs Unitful.jl Surrogates.jl vs NeuralPDE.jl NonlinearSolve.jl vs Zygote-Mutating-Arrays-WorkAround.jl Surrogates.jl vs DiffEqOperators.jl NonlinearSolve.jl vs sparse Surrogates.jl vs Optimization.jl NonlinearSolve.jl vs Zygote-Mutating-Arrays-WorkArou