Prior efforts to develop hardware for optimization problems have involved Ising machines, a category of hardware solvers that incorporate the Ising model to find the absolute or approximate “ground ...

We investigate risk-averse stochastic optimization problems with a risk-shaping constraint in the form of a stochastic-order relation. Both univariate and multivariate orders are considered. We extend ...

Optimization modeling and algorithms are key components to problem-solving across various fields of research, from operations research and mathematics to computer science and engineering.

The optimization mode requires quantum effects, can solve a growing list of problems.