# C++

Welcome back to a new post at thoughts-on-cpp. This time I will write about something different, not quite technical and C++ related. Well, not exactly. It’s a post about team education, about how to evolve the C++ knowledge of a team which is, in my case, not build up with computer science experts, but purely with domain experts (in my development team we are all mechanical engineers or mathematicians). You may ask, why the hell are they doing software engineering only with domain experts? This will be for sure another blog post, I promise, to talk about this.

This time I would like to give a short introduction into a nice little library I just encountered. It’s called loguru and it’s a lightweight, Thread-Safe, logging library with an impressive good written documentation and human-readable output.

Welcome back to another exciting part of the n-body-problem post series. This time we are going to implement the Euler-Method to make the tests, we defined in the last post, pass. If you just dropped in or need to fresh up your memory see the links to the previous posts below. I also stumbled upon a very good presentation of the n-body-problem topic. Even if it’s quite mathy, it serves us as good background information.

Welcome back to the n-body-problem series. Last time we’ve been setting up our project structure and CMake setup. According to some helpful reddit comments, I adapted our CMake setup a bit, but I’m still not absolutely sure if the project structure, as it is now, will last to the end of the project. If you’ve missed any of the earlier posts, you can find them here:

Because we want to exercise TDD, we somehow need to define some test cases first before we can implement our solver library. A simple scenario would be two points with an equivalent mass $M$, a distance of $r$ and no initial velocity and acceleration. Clearly we could do hundreds of different complex tests with it. But i would like to start with two very simple and specific tests, point masses accelerating and moving only in x- and y-direction sole. This way we can check that, at least the basis, assumptions, formulas, and implementations are correct.