More information: Xiaomeng Sui et al, Non-convex optimization for inverse problem solving in computer-generated holography, Light: Science & Applications (2024). DOI: 10.1038/s41377-024-01446-w ...

Computer programmers have developed a new 'cutting-plane' algorithm, a general-purpose algorithm for solving optimization problems. The algorithm improves on the running time of its most efficient ...

The "maximum independent set" problem, solved by the team, is a paradigmatic hard task in computer science and has broad applications in logistics, network design, finance, and more.

A quantum computer can solve optimization problems faster than classical supercomputers, a process known as "quantum advantage" and demonstrated by a USC researcher in a paper recently published ...

The optimization mode requires quantum effects, can solve a growing list of problems. John Timmer – Feb 16, 2023 7:30 am | 30 Credit: QuEra ...

The processing power of standard computers is likely to reach its maximum in the next 10 to 25 years. Even at this maximum power, traditional computers won't be able to handle a particular class ...

Hash tables are among the most thoroughly studied data structures in all of computer science; the advance sounded too good to be true. But just to be sure, he asked a frequent collaborator (and a ...

Computer scientists have exploited the ways of the ant to produce computational algorithms better able to solve complex problems. For example, computerized virtual ants can be used to find the ...