geogebra VS BOUT-dev

https://github.com/geogebra/geogebra How can I obtain the source code for the Android platform and embed it into our own app with only the core layer code, DeskTop, and web platform source code? Thank you for your reply.

I don't think their codebases are particularly connected: AFAIK Desmos is a client-side browser app, so the software is distributed to the user for using in that way, which seems incompatible with the GPL3+ licensing of the GeoGebra codebase.

https://github.com/geogebra/geogebra

Edit: while learning derivatives you should definitely play around with a graphing calculator like https://www.geogebra.org/ . It will make understanding what's going on a lot more intuitive.

There are a lot of different cases, it's quite tricky. Here's the numerical algorithm in full https://github.com/geogebra/geogebra/blob/master/common/src/main/java/org/geogebra/common/kernel/algos/AlgoIntersectConics.java

Access to XMLHttpRequest at 'https://example.com/files' from origin 'https://www.geogebra.org' has been blocked by CORS policy: No 'Access-Control-Allow-Origin' header is present on the requested resource.

It's very simple and should stay that way - changing it would probably add bugs https://github.com/geogebra/geogebra/blob/master/common/src/main/java/org/geogebra/common/kernel/advanced/AlgoDynamicCoordinates.java

Can you redraw this on something like Geogebra and post a screenshot with the relevant points? Can you also explain where the circles come from and/or why you can just use trig?

There are some decent physics examples built out in Geogebra that you might be able to use directly or modify. https://www.geogebra.org/

BOUT++: a framework for writing fluid and plasma simulations in curvilinear geometry

At least in my field (computational plasma physics), the majority of software is (in descending order) Fortran (e.g., SOLPS-ITER), Python (e.g., IPS; OMFIT; UEDGE), and C/C++ (e.g., BOUT++; Exascale Computing Project tools).

I don't want to paint too bleak a picture of my field - there are definitely big, well-supported projects that invest in code quality! For example, Bout++ is a fluid solver whose devs care a lot about best practices, and the folks at the Exascale Computing Project are doing great work with tools like Kokkos (GPU acceleration of HPCcodes), ADIOS (I/O for HPC), AMREX (meshes for HPC), etc.