Researchers have developed a new optimization algorithm modeled on how the platypus uses electroreception and spatial memory ...

When designing new computer chips, engineers need to make various decisions about how to connect their underlying components ...

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 ...

Meta, Duke and UC Davis researchers split harness search into self-improving branches, lifting Olympiad math accuracy from 46 ...

In mathematics, simply providing a large amount of knowledge is not enough. In science, even if you find a formula that fits a phenomenon, it does not necessarily mean you understand the mechanism ...

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 ...

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.

On Tuesday, September 8, 2026, we hosted an event at the Tokyo Midtown Yaesu Conference, inviting members of the railway ...

LG CNS said on Sept. 20 it held the global mathematical optimization competition "Optimization Grand Challenge 2026". The ...