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thanks


Probably the most elegant math book I have ever seen is Probabilty theory a graduate course by Achim Klenke. A very nice exposition into the abstract, measure theoretic prob. thoery (but it assumes some prior knowledge).


If you are into numerical optimization, a nice source of intersting problems and examples (that e.g. contradict the intuition) can be found in

Mathematical Tapas: Volume 1 and Vol. 2.


Intersting comment, but I think there might be fluctuations around a growing overall demand.


Would Rust be worth learning for implementing (numerical) optimization algorithms?


well said, thx for your comment


thanks!


thanks for your insights!


cool, thanks


Thank you a lot!


You grab a copy of "Convex Optimization" by Boyd & Vandenberghe over here: https://web.stanford.edu/~boyd/cvxbook/

This is more optimal control but I really enjoyed reading through these notes: https://math.berkeley.edu/~evans/control.course.pdf


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