seed7 VS dolfinx

This release is available at GitHub and SF. There is also a Seed7 installer for windows, which downloads the newest version from SF. The Seed7 Homepage stays at its usual place. There is also a mirror of the Seed7 Homepage at GitHub.

Seed7 at GitHub

bugmagnet@LAPTOP-H6HBEGA9:~$ git clone https://github.com/ThomasMertes/seed7 Cloning into 'seed7'... remote: Enumerating objects: 21021, done. remote: Counting objects: 100% (4660/4660), done. remote: Compressing objects: 100% (1118/1118), done. remote: Total 21021 (delta 3677), reused 4454 (delta 3515), pack-reused 16361 Receiving objects: 100% (21021/21021), 15.95 MiB | 6.47 MiB/s, done. Resolving deltas: 100% (18593/18593), done. bugmagnet@LAPTOP-H6HBEGA9:~$ cd seed7 bugmagnet@LAPTOP-H6HBEGA9:~/seed7$ make -f src/mk_linux.mak depend make: *** No rule to make target 'chkccomp.c', needed by 'chkccomp'. Stop.

No. You can see at GitHub that I update Seed7 quite often. Approximately once a month I do a release and this release is announced at r/seed7 and here.

The packages are not updated so often. So you are more up-to-date with the releases (or even more up-to-date by pulling from GitHub).

I committed a corresponding change to GitHub (Support syntax statements without $ (dollar)).

This release is available at GitHub and SF. There is also a Seed7 installer for windows, which downloads the newest version from SF. The Seed7 Homepage stays at its usual place. There is also a mirror of the Seed7 Homepage which uses HTTPS.

Yes, I am regularly working on improvements for Seed7. The changes are checked in at GitHub (see here for the list of commits) and once a month I do a release which is announced at r/seed7.

It all depends on the circumstances behind. In the beginning the core-js maintainer had no family and now he has. When I released Seed7 I already had a family. It was clear that my job had to support my family and my hobby (GitHub link).

Syntax highlighting for the Nano editor has been added. Many thanks to Duke Normandin for creating seed7.nanorc.

One thing that is a pain when learning this stuff is that actually performing the optimization requires a good understanding of the numerical discretization of PDEs. Finite elements are a natural choice because it is very easy to characterize the adjoint with this formulation. There are some good free tools that you can use to actually learn and do some computations yourself. The first is hIPPYlib (paper, code), which is built on top of FEniCS (link), for which there are many good tutorials. Beware trying to install this on Windows though. You will need to work in Docker or in Ubuntu via Windows Linux Subsystem.

If you're ok with coding, fenics is a solid place to start. Also if you're comfortable with coding, openfoam is FVM, rather than FEM, but it can handle solidmechanics.

> FEniCs made FEM so easy

https://fenicsproject.org/

Indeed, was blown away when I saw it for the first time over a decade ago, compared to the convoluted C++ FEM libraries I had seen before that.

Have you looked at FEniCS? Pretty much everything else I'm aware of is probably overkill (e.g., MOOSE in C++, HYPRE's Python bindings, etc.)

FEniCSx is quite good.

You mean Python? For many research tasks it's fine. High level libraries let you define your computation in a minimal amount of code. FEniCS is a great example of this - underneath it compiles the abstracted high level stuff to calls to low-level libraries that do the heavy lifting. For many applications you can just write vectorized code with Numpy that performs well, or use Numba to JIT what you can't vectorize. For some tasks, however, you need interfaces that don't exist in the high level libraries, and that was the case for me.

I just came across FEniCSX. I’m not sure if it’s what you want but here’s the description:

Fenics: Very popular finite element framework “UseTab: Never” https://github.com/FEniCS/dolfinx/blob/main/.clang-format