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 ...

Learn how to implement the Adam optimization algorithm from scratch in Python! This step-by-step guide breaks down the math, ...

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 ...

Logistical chaos is not a new phenomenon in the supply-chain world, but the scale of upheaval caused by COVID-19 is something that stakeholders have never seen before: 94% of Fortune 1000 companies ...

This is a preview. Log in through your library . Abstract We propose a new algorithm for the nonlinear inequality constrained minimization problem, and prove that it generates a sequence converging to ...