Even if a quantitative trading model can generate valid return predictions, inputting them into an optimization model does ...
What do the following—planning an airline hub, political gerrymandering, and a museum renovation—have in common? They’re all problems that can be tackled by mathematicians using a process called ...
In Part 1 of this series on optimization and recovery, we considered two limitations of optimization processes and the light they shed on pseudo-recovery. Let’s now think more about what the ...
Introduction to the theory of convex sets and functions and to the extremum problems in areas of mathematics where convexity plays a role. Your Final Grade in the ...
Is it really safe to let an LLM directly control a company's advertising budget?When marketers or business leaders ask this ...
A century ago, the great mathematician David Hilbert posed a probing question in pure mathematics. A recent advance in optimization theory is bringing Hilbert’s work into a world of self-driving cars.
Meta, Duke and UC Davis researchers split harness search into self-improving branches, lifting Olympiad math accuracy from 46.0% to 62.0%.
LG CNS said on Sept. 20 it held the global mathematical optimization competition "Optimization Grand Challenge 2026". The contest drew 958 teams and 1,448 participants from 55 countries, up from 343 ...
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