Abstract: The Nelder-Mead simplex method is a well-known algorithm enabling the minimization of functions that are not available in closed-form and that need not be differentiable or convex.

A new quantum-inspired algorithm has cracked a problem so massive that conventional supercomputers struggle to even approach it. Researchers used the method to simulate extraordinarily complex quantum ...

Liam Price just cracked a 60-year-old problem that world-class mathematicians have tried and failed to solve. He’s 23 years old and has no advanced mathematics training. What he does have is a ChatGPT ...

The original version of this story appeared in Quanta Magazine. In 1939, upon arriving late to his statistics course at UC Berkeley, George Dantzig—a first-year graduate student—copied two problems ...

Learn how to confidently apply Coulomb’s Law using a clear, step-by-step problem-solving method. This tutorial breaks down electric force calculations, charge interactions, units, and common mistakes, ...

In the midst of an unprecedented AI buildout, Meta is spending more than most. The company is building two massive data centers, and reporting indicates there will be as much as $600 billion in ...

The leading approach to the simplex method, a widely used technique for balancing complex logistical constraints, can’t get any better. In 1939, upon arriving late to his statistics course at the ...

I think we’ve all had this happen. And while I’m certainly not averse to working sleep into my decision-making process, it might be nice to understand exactly how creating a problem-sleep-solution ...

Submodular maximization is a significant area of interest in combinatorial optimization, with numerous real-world applications. A research team led by Xiaoming SUN from the State Key Lab of Processors ...

Karthik Sj, General Manager, AI at LogicMonitor. Built & Scaled multiple 0-1 AI products across public, PE and VC backed companies. At 3 a.m., an IT team scrambles to contain a system outage. Alerts ...