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].

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 ...

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.