Keith Negley for The Chronicle Algorithms and the Problem of Intellectual Passivity Our students are used to everything being tailored to them.

Complexity theorists sort problems into categories, called complexity classes, based on the resource demands of the best algorithms for solving them—that is, the algorithms that run fastest or ...

These algorithms are significant because they can solve the noncommutative weighted Edmonds' problem in polynomial time, demonstrating that certain complex problems can be tackled efficiently [2].

By pulling the subject from chronos into vertical time, art fosters an integrative vantage—fusing interior impetus with outward expression in a single, transformative interval.

In 1958, Wagner and Whitin published a seminal paper on the deterministic uncapacitated lot-sizing problem, a fundamental model that is embedded in many practical production planning problems. In this ...

This paper considers the design and analysis of algorithms for vehicle routing and scheduling problems with time window constraints. Given the intrinsic difficulty of this problem class, approximation ...

In fact, we don’t know any problem that is in the class NP of easily-verified problems but for which there is definitely no polynomial-time algorithm.

Complexity theory is a fundamental branch of theoretical computer science that categorises computational problems according to their inherent difficulty and the resources required to solve them ...