ceres-solver VS CGal

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!

But I doubt any of this will ever run on the GPU... Multi-threading on the other hand, is already implemented and it works on the Gamma side, but I had to switch it off by default because CGAL doesn't seem to be there yet (see here for more). It does mostly work though, at least for the polyhedral operation which is what matters, although it may not be the great speed-up you expect it to be.

git clone https://github.com/CGAL/cgal.git