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 ...

Many engineering challenges come down to the same headache—too many knobs to turn and too few chances to test them. Whether tuning a power grid or designing a safer vehicle, each evaluation can be ...

Interval-valued optimization problems constitute a rapidly evolving field in applied mathematics and engineering, addressing situations where uncertainty and imprecision are inherent in model ...

Facility location and optimization problems have long been a central focus in operations research and applied mathematics, addressing the challenge of strategically placing facilities to serve a ...

There are, generally speaking, two types of people in the mathematical optimization software field: • Optimization solver developers: The technical experts who devise and implement the algorithms that ...

Over the course of my 25-year career in the mathematical optimization software industry, I’ve lost count of how many times I’ve been asked this question: “Can you tell me what mathematical ...

Conventional quantum algorithms are not feasible for solving combinatorial optimization problems (COPs) with constraints in the operation time of quantum computers. To address this issue, researchers ...