Acta Numerica 2022: Volume 31

Acta Numerica is an annual publication containing invited survey papers by leading researchers in numerical mathematics and scientific computing. The papers present overviews of recent developments in their area and provide state-of-the-art techniques and analysis.

List of contents

1. Schwarz methods by domain truncation Martin J. Gander and Hui Zhang; 2. Turnpike in optimal control of PDEs, ResNets, and beyond Borjan Geshkovski and Enrique Zuazua; 3. Reduced basis methods for time-dependent problems Jan S. Hesthaven, Cecilia Pagliantini and Gianluigi Rozza; 4. Mixed precision algorithms in numerical linear algebra Nicholas J. Higham and Theo Mary; 5. Asymptotic-preserving schemes for multiscale problems Shi Jin.

About the author

Douglas Arnold is McKnight Presidential Professor of Mathematics at the University of Minnesota.

Summary

Acta Numerica is an annual publication containing invited survey papers by leading researchers in numerical mathematics and scientific computing. The papers present overviews of recent developments in their area and provide state-of-the-art techniques and analysis.

Product details

• Authors: Douglas (University of Minnesota) Arnold
• Assisted by: Douglas Arnold (Editor), Douglas (University of Minnesota) Arnold (Editor)
• Publisher: Cambridge University Press ELT
• Languages: English
• Product format: Hardback
• Released: 31.10.2022
• EAN: 9781009220972
• ISBN: 978-1-0-0922097-2
• No. of pages: 494
• Series: Acta Numerica
• Subjects: Natural sciences, medicine, IT, technology > IT, data processing > IT; Natural language & machine translation, Natural language and machine translation