Constraint satisfaction problems (CSPs) provide a versatile framework for modelling complex decision-making tasks where a collection of variables must be allocated values that satisfy specific ...

Since the 1990s, evidence has been growing that quantum computers should be able to solve a range of particularly complex computational problems, with applications in everything from supply chain ...

While improvements in computer hardware and high performance computing frameworks continue to provide computational speed increases, efficient mathematical algorithms and skillful coding are essential ...

The course discusses state-of-the-art methods and software for the fast and accurate numerical solution of problems with features on multiple scales. This course starts from the fundamentals of ...

Reproducibility is fundamental to science. Yet digital technology casts an increasingly long shadow on the principle. When independent investigators examine studies, they are unable to validate about ...

This chapter highlights some of the most prominent research challenges from theoretical/computational chemistry that appear to be amenable to attack with the help of ...