gomez
Framework and implementation for mathematical optimization and solving non-linear systems of equations. (by datamole-ai)
num-dual
Generalized (hyper-) dual numbers in rust (by itt-ustutt)
| gomez | num-dual | |
|---|---|---|
| 1 | 3 | |
| 42 | 48 | |
| - | - | |
| 8.0 | 4.4 | |
| 4 months ago | about 1 month ago | |
| Rust | Rust | |
| 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.
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.
gomez
Posts with mentions or reviews of gomez.
We have used some of these posts to build our list of alternatives
and similar projects.
num-dual
Posts with mentions or reviews of num-dual.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-10-23.
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Advice for implementing this type of dynamic dispatch for automatic differentiation
In the num-dual crate, we solve this problem using generics rather than dynamic dispatch. It also uses nalgebra as a backend rather than ndarray for the possibility to have both statically and dynamically sized arrays. The signature for the Jacobian is
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Automatic differentiation and thermodynamics with `num-dual` and `feos`
We are happy to announce num-dual and feos, two crates that we've been working on over the last years.
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niura: Automatic differentiation library that's actually easy to use
There is an implementation of generalized dual numbers in rust (https://github.com/itt-ustutt/num-dual) which might be interesting for you ;)
What are some alternatives?
When comparing gomez and num-dual you can also consider the following projects:
ruff - An extremely fast Python linter, written in Rust. [Moved to: https://github.com/astral-sh/ruff]
wtfisjet - Provides an implementation for jets and some jet-based utilities
feos - FeOs - A Framework for Equations of State and Classical Density Functional Theory
autodiff-rust - Automatic differentiation for Rust
polars - Dataframes powered by a multithreaded, vectorized query engine, written in Rust
ruff - An extremely fast Python linter and code formatter, written in Rust.