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].

Online algorithms are designed to make decisions sequentially, without complete knowledge of future inputs. In many real-world applications—from scheduling and resource allocation to network ...

computational complexity For Algorithms, a Little Memory Outweighs a Lot of Time One computer scientist’s “stunning” proof is the first progress in 50 years on one of the most famous questions in ...

SANDVIG: The systems are of a sufficient complexity that it is possible to say the algorithm did it. And it's actually true. The algorithm is sufficiently complicated, and it's changing in real time.