We investigate the pointwise well-posedness of optimization problems for locally convex cone-valued functions and establish some relations between the kinds of well-posedness. Via the neighborhoods ...

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 problems can be tricky, but they make the world work better. These kinds of questions, which strive for the best way of doing something, are absolutely everywhere. Your phone’s GPS ...

Shenzhen, May 14, 2025 (GLOBE NEWSWIRE) -- MicroAlgo Inc. Announces Research on Quantum Information Recursive Optimization (QIRO) Algorithm, for Combinatorial Optimization Problems to Expand and Solve ...

Krysta Svore, general manager of Microsoft Quantum, explains how quantum computing hardware works during a Seattle science conference in 2020. (GeekWire Photo / Alan Boyle) Microsoft and KPMG are ...

A line of engineering research seeks to develop computers that can tackle a class of challenges called combinatorial optimization problems. These are common in real-world applications such as ...