[neutronicus]

> But his argument fits well with C++'s history of finding exceedingly complex solutions for simple problems. Want to have efficient matrix calculation? Well, who needs native support for matrices when you can do the same with expression templates and static polymorphism/CRTP (see: Eigen library).

I have to defend C++ here - "native matrices" is under-specified. In practice, "Matrix" is one of the leakiest abstractions in programming and you have to care about representation and choice of algorithm pretty much from the get-go, and IMO C++ is actually the best available option for managing that complexity, especially when you're solving large systems in parallel (and it's worth pointing out that one of the front-running open-source libs in this space is written in C++[1]).

[1] https://github.com/trilinos/Trilinos

[deng]

For many projects you won't need that complexity. You just want to directly map basic matrix operations to the usual BLAS/LAPACK calls. Fortran 90+ does that job well, for instance, and performance will usually be better than a C++ library (yes, I've tested against Eigen and Armadillo, although that was years ago). Combine that with the enormous compile times and the absolute ridiculous error messages for even simplest syntax errors, and I never looked back. Fortran may have a bad rep, but the newer iterations are actually pretty good for that kind of stuff.

[curlypaul924]

I'm confused. Are you suggesting that Fortran is a good environment for game development?