prima VS manim

The developer of PRIMA here.

If you use method "cobyla" from scipy.optimize.minimize, then PRIMA already performs far better (in terms of the number of function evaluations). See the comparison at https://github.com/libprima/prima#improvements .

The bugs are indeed only a secondary reason: they can only be triggered under special situations. They may not affect your usage at all (when it does affect you, the consequence is catastrophophic).

1. nagfor Release 7.1(Hanzomon) Build 7149 released on March 5, 2024, fixed all the bugs spotted, but introduced an ICE when compiling PRIMA ( http://www.libprima.net ). The ICE has nothing to do with half-precision real, because it occurs when PRIMA is configured to use single or double precision. It can be reproduced by

```

git clone https://github.com/libprima/prima.git && cd prima && git checkout ec42cb0 && cd fortran/examples/lincoa && make ntest

```

2. nagfor 7.2 released on 6 March, 2024 included neither the ICE nor the fixes for the bugs.

My goal is to rewrite this library for derivative-free optimization: https://github.com/libprima/prima

A native port is indeed planned. However, since we are talking about a project of about 10K lines of code, such a port will not be delivered very soon.

In fact, native implementations of PRIMA in Python, MATLAB, C++, Julia, and R will all be done in the future. See https://github.com/libprima/prima#other-languages . But it takes time. PRIMA has been a one-man project since it started three yearss ago. Community help is greatly needed.

Thanks.

GitHub repo of the project: https://github.com/libprima/prima

It sounds like this was a difficult task. The motivation to fulfill Prof. Powell's request and help the community of derivative-free optimization users must have been strong. Congratulations on your achievement!

From the GitHub README:

> In the past years, while working on PRIMA, I have spotted a dozen of bugs in reputable Fortran compilers and two bugs in MATLAB. Each of them represents days of bitter debugging, which finally led to the conclusion that it was not a problem in my code but a flaw in the Fortran compilers or in MATLAB. From a very unusual angle, this reflects how intensive the coding has been.

> The bitterness behind this "fun" fact is exactly why I work on PRIMA: I hope that all the frustrations that I have experienced will not happen to any user of Powell's methods anymore. I hope I am the last one in the world to decode a maze of 244 GOTOs in 7939 lines of Fortran 77 code — I have been doing this for three years and I do not want anyone else to do it again.

https://github.com/libprima/prima#a-fun-fact

Also check out community edition: https://www.manim.community

manim – A community-maintained Python framework for creating mathematical animations

I recently wanted to make something similar and I completely fell in love with https://www.manim.community/ created by 3B1B.

https://github.com/gumyr/build123d :

> Build123d is a python-based, parametric, boundary representation (BREP) modeling framework for 2D and 3D CAD. It's built on the Open Cascade geometric kernel and allows for the creation of complex models using a simple and intuitive python syntax. Build123d can be used to create models for 3D printing, CNC machining, laser cutting, and other manufacturing processes. Models can be exported to a wide variety of popular CAD tools such as FreeCAD and SolidWorks.

> Build123d could be considered as an evolution of CadQuery where the somewhat restrictive Fluent API (method chaining) is replaced with stateful context managers* - e.g. with blocks - thus enabling the full python toolbox: for loops, references to objects, object sorting and filtering, etc.*

"Build123d: A Python CAD programming library" (2023) https://news.ycombinator.com/item?id=37576296

BREP: Boundary representation: https://en.wikipedia.org/wiki/Boundary_representation

Manim, Blender, PhysX, o3de, [FEM, CFD, [thermal, fluidic,] engineering]: https://github.com/ManimCommunity/manim/issues/3362

NURBS: Non-Uniform Rational B-Splines: https://en.wikipedia.org/wiki/Non-uniform_rational_B-spline

NURBS for COMPAS: https://github.com/gramaziokohler/compas_nurbs :

> This package is inspired by the NURBS-Python package, however uses a NumPy-based backend for better performance.

> Curve, and Surface are non-uniform non-rational B-Spline geometries (NUBS), RationalCurve, and RationalSurface are non-uniform rational B-Spline Geometries (NURBS). They all built upon the class BSpline. Coordinates have to be in 3D space (x, y, z)

test_curve.py, test_surface.py

https://github.com/compas-dev

compas_rhino, compas_blender

Blender docs > Modeling Surfaces; NURBs implementation, limits, challenges:

A template language that I wrote for generating HTML. Meant to be included as a C++ library. https://github.com/Ghoti-io/Tang

Plenty of other C++ code of mine is on Github (such as a bunch of utility stuff, a thread pool, and a HTTP server that I'm writing from scratch), even though I would only call myself an intermediate C++ programmer. I just happen to like the language.

Or, if I had to throw other stuff into the mix, a fairly recent patch to Manim (Python) that got accepted (https://github.com/ManimCommunity/manim/pull/3155).

If I were really pressed, I would dig up a lot of my Drupal (PHP) stuff that I did years ago.

I would love to have this https://github.com/manimCommunity/manim written in Rust. There have been previous attempts (bevy_manim and another one using nannou) but all of them are outdated