not-yet-awesome-embedded-rust VS ceres-solver

And a list of things missing: https://github.com/rust-embedded/not-yet-awesome-embedded-ru...

Building a portfolio is a great idea. Also you can find various areas to contribute to Rust. That would give you great exposure. Check out the not yet awesome rust repo (https://github.com/rust-embedded/not-yet-awesome-embedded-rust) for ideas. Also take a look at the rust foundation grant program, it’s open for applications now. There’s also the “this week in Rust” newsletter (https://this-week-in-rust.org) where job openings relative to Rust are also listed. Lastly, you can check my bio for a link where I provide a list of project ideas for different areas in embedded including Rust.

See Not Yet Awesome Embedded Rust for some ongoing work to build out the ecosystem, it's not ready yet. (this is a play on various "Awesome XYZ Rust" lists that have resources for different topics)

Not Yet Awesome Embedded Rust

Here's an interesting discussion, consolidated here. My view is you should use a restricted scope atomic (as best as can be supported) and interact with that through a handler struct. I.e. no global state.

I can't reply to the guy saying julia is the only one. But there are others.

Ceres uses dual numbers

https://github.com/ceres-solver/ceres-solver/blob/master/inc...

This library from google is used everywhere in robotics, so it's hardly some backwater little side project.

So does c++ autodiff

http://ceres-solver.org (if you want to implement it manually, see tutorials & openCV sfm module)

http://ceres-solver.org/ works well, in my experience.

Hey, people! I was wondering if there is a library for non-linear optimization, equivalent to that for Ceres Solver that you have in C++?

I've not yet seen anything comparable to http://ceres-solver.org/

Disclaimer: I'm one of the authors of Ceres Solver which is widely used for solving computational geometry problems in computer vision. I also wrote TinySolver. And nowadays, I focus on Pigweed; a collection of embedded libraries targeting high-volume consumer electronics products. It's fun to see an overlap of these two areas expertise!