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 ...

Lance Fortnow on the current status and future outlook of solving the P-NP problem.

NP-complete problems, including optimal routing, scheduling and network design, are foundational to essential tasks across various industries. However, they actually pose challenges for conventional ...

Is it possible to invent a computer that computes anything in a flash? Or could some problems stump even the most powerful of computers? Computational complexity theorists study these questions and ...