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 ...

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

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.

The actual best way to distinguish between complexity classes like BQP and PH is to measure the computational time required to solve a problem in each.