A string of improved approximation algorithms have since emerged, after computer scientists began looking at the problem with fresh eyes. Although these approximations apply only to certain types ...

Loosely speaking, NP-Complete is a class of problems that are believed unsolvable within a reasonable amount of time in the worst case. Thus, approximation algorithms are very important for ...

This course studies approximation algorithms – algorithms that are used for solving hard optimization problems. Such algorithms find approximate (slightly suboptimal) solutions to optimization ...

A team of computer scientists has come up with a dramatically faster algorithm for one of the oldest problems in computer science: maximum flow. The problem asks how much material can flow through a ...

Scientists have developed an exact approach to a key quantum error correction problem once believed to be unsolvable, and have shown that what appeared to be hardware-related errors may in fact be due ...

An international research team has developed a hybrid maximum power point ... is a metaheuristic algorithm designed to solve single-objective optimization problems. It was inspired by the swarming ...