The paper solves the stochastic inverse optimal problem. Dynamic programming is used to transform the original problem into a differential equation. Such an equation is well-defined (with probability ...

In this article, author Markus Völter discusses the future of programming using Large Language Model (LLM) tools like ChatGPT and GitHub’s Copilot for prose-to-code generation. He also talks ...

Niv Buchbinder, Kamal Jain, Mohit Singh, Secretary Problems via Linear Programming, Mathematics of Operations Research, Vol. 39, No. 1 (February 2014), pp. 190-206 ...

Bjarne Stroustrup, the inventor of the C++ programming language, defends his legacy and examines what’s wrong with most software code.

Yet, while coding as we know it is indeed facing disruption, the creative, problem-solving essence of computer programming is likely to remain a largely human endeavor for the foreseeable future.

However, there’s a problem. Programming books are universally boring. I own a really big pile of them, and that’s after I gave a bunch away.