Every month or so, an email appears in Stephen Cook’s inbox from someone claiming to have solved one of the most important questions in computational science. Should one of Cook’s correspondents ...

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 ...

Numerical optimization of a numerically integrated function is a difficult task, and the computation of the objective function and its derivatives can lead to arithmetic exceptions and overflows. A ...

Our era is defined by a constant flow of information. Data from smartphones, wearables and environmental sensors, connected to sharing and analysis platforms, accompany us daily, creating a digital ...

They say a bird in the hand is worth two in the bush, but for computer scientists, two birds in a hole are better still. That’s because those cohabiting birds are the protagonists of a deceptively ...

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 ...

If you use bad initial values for the parameters, the computation of the value of the objective function (and its derivatives) can lead to arithmetic overflows in the first iteration. The line-search ...