Leveraging time series forecasting One of the most powerful approaches to algorithm analysis is using time series forecasting to establish a baseline of expected performance.

computational complexity For Algorithms, a Little Memory Outweighs a Lot of Time One computer scientist’s “stunning” proof is the first progress in 50 years on one of the most famous questions in ...

ABSTRACT Reconstructing the spatial pattern of a climate field through time from a dataset of overlapping instrumental and climate proxy time series is a nontrivial statistical problem. The need to ...

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 ...

To tackle these issues, a team led by Zhiyi Yu of Sun Yat-sen University, China, recently developed a new hand gesture recognition algorithm that strikes a good balance between complexity ...