It’s been difficult to find important questions that quantum computers can answer faster than classical machines, but a new ...

Coordinating complicated interactive systems, whether it's the different modes of transportation in a city or the various ...

An interdisciplinary team of scientists and engineers is arguing the research community should make a concerted effort to ...

Quantum computers promise to speed calculations dramatically in some key areas such as computational chemistry and high-speed networking. But they're so different from today's computers that ...

To further exploit the potential of conditional sampling, multi-step conditional randomized block Kaczmarz (MCRBK) algorithm is proposed, which can be readily adopted as a flexible, scalable, ...

The course will provide knowledge in different uses of parallelism in a multi-core computer and especially provide insight into how and when Java can be used to develop parallel programs which can be ...

Abstract: In this paper, the distributed form of the zeroing neural network for solving time-varying optimal problems is put forward. Compared with traditional centralized algorithms, distributed ...

This repository implements a genetic algorithm (GA) in Python3 programming language, using only Numpy and Joblib as additional libraries. It provides a basic StandardGA model as well as a more ...

HiOp is a lightweight HPC solver that leverages application's existing data parallelism to parallelize the optimization iterations by using specialized parallel linear ... title = {A Sequential ...

For distributed sampling, the conventional EnKF usually requires ... which can be obtained by communicating with their neighbors over several communication rounds. Then, the algorithm calculates the ...