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 ...

Computer Scientists Discover Limits of Major Research Algorithm The most widely used technique for finding the largest or smallest values of a math function turns out to be a fundamentally difficult ...

Algorithmic complexity, a cornerstone of theoretical computer science, examines the intrinsic resource requirements of computational problems and the limits of what can be efficiently computed.

A major advance in computational complexity reveals deep connections between the classes of problems that computers can — and can’t — possibly do.

Complexity theory is a zoo of “complexity classes” – collections of computational problems – of which MIP * and RE are but two. The 165-page paper shows that these two classes are the same.

In other domains, what’s described above as a model is itself called an algorithm. Though that’s confusing, under the broadest definition it is also accurate: models are rules (learned by the ...