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 ...

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 ...

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.

Scientists have demonstrated a breakthrough application of neutral-atom quantum processors to solve problems of practical use.

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 ...

These quantum-inspired systems can model the interactions between magnetic spins and use it to solve complex optimization problems.

How did you become interested in economics? I originally studied statistics at university, but soon realised that it could be a powerful tool for addressing a wide range of problems in economics – ...

This module is designed for students with an A-Level in Mathematics (or an equivalent qualification). You will revisit key mathematical tools covered in A-Level Mathematics (such as differential ...