From designing algorithms to analyzing their efficiency, understanding these core concepts is key to solving problems in computer science. Time and space complexity guide us in choosing the best ...

Computer scientists have devised an innovative and elegantly concise algorithm that can efficiently solve systems of linear equations that are critical to such important computer applications as image ...

Shortest path algorithms like Dijkstra, BFS, and advanced approximations power everything from Google Maps to network routing. Understanding when and how to apply them can save time and resources in ...

Many of the most challenging optimization problems encountered in various disciplines of science and engineering, from biology and drug discovery [1] to routing and scheduling [2] can be reduced to NP ...

The original version of this story appeared in Quanta Magazine. For computer scientists, solving problems is a bit like mountaineering. First they must choose a problem to solve—akin to identifying a ...

The new version of AlphaZero discovered a faster way to do matrix multiplication, a core problem in computing that affects thousands of everyday computer tasks. DeepMind has used its board-game ...

New Scientist reports that Matthias Troyer of ETH Zurich in Switzerland has tested a D-Wave Two computer against a conventional, “classical” machine running an optimised algorithm – and they have ...