Actually, Mike you did a whole lot of work in those courses! I was very pleased with the effort.
Normally, doing a critical subset of a course is enough for a certificate.
e.g ODE/PDE has parts A-H
for UCB, parts A,B,F,G for the certificate.
"We already use C++26’s std::execution in production for an entire asset class, and as the foundation of our new messaging infrastructure,"
OK
https://en.cppreference.com/w/cpp/execution.html
More details?
Threre is always a time delay between when software prototypes and production versions...
If C++26 is the answer, what is the question?
Sounds like marketing/future ware?
I need convincing. What do I know? haha
Might be a bit harsh: the link sounds also like an advertorial..
I am sure Numericals are a core step in the computational finance pipeline.
Problem (e.g. Black Scholes, HW, XVA,...} -> {PDE, ODE, SDE} -> Numerics -> Software Design -> {C++, Python, C#}.
One issue worth noting is that there are two main strands associated with matrices
1. Pure maths linear analysis/algebra ... paper models. Kind of academic-only focus.
2. Numerical linear algebra .. algorithms and getting stuff into the computer. And knowing what, why and how. numpy/scipy...
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