Contemporary studies address both the feasibility of algorithmic solutions and the limits imposed by complexity classes, offering insights into issues such as NP-hardness and inapproximability.

Online algorithms are designed to make decisions sequentially, without complete knowledge of future inputs. In many real-world applications—from scheduling and resource allocation to network ...

Recently, a research team from Stony Brook University in New York proposed a novel quantum algorithm aimed at detecting 'twisting' features in data analysis. This significant research breakthrough not ...

Fei Li, Associate Professor, Computer Science, College of Engineering and Computing (CEC), received funding for the project: “Quantum Algorithms for High-Performance Analysis of Single-Cell Omics Data ...

A cycle counting algorithm that will reduce a complex history into a series of discrete cycles is presented. The cycles determined by this technique are defined as closed stress-strain hysteresis ...

Novel AI algorithm for digital pathology analysis The framework was able to accurately classify different lung tumors Date: May 23, 2022 Source: Boston University School of Medicine Summary ...