Fr. 328.80

Acta Numerica 2011: Volume 20

English · Hardback

Shipping usually within 1 to 3 weeks (not available at short notice)

Description

Read more

Klappentext A high-impact, prestigious, annual publication containing invited surveys by subject leaders: essential reading for all practitioners and researchers. Zusammenfassung 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. Inhaltsverzeichnis 1. Topics in structure - preserving discretization Snorre H. Christiansen, Hans Z. Munthe-Kaas and Brynjulf Owren; 2. Mathematical and computational methods for semiclassical Schrödinger equations Shi Jin, Peter Markowich and Christof Sparber; 3. Tsunami modelling with adaptively refined finite volume methods Randall J. LeVeque, David L. George and Marsha J. Berger; 4. Sparse tensor discretizations of high-dimensional parametric and stochastic PDEs Christoph Schwab and Claude Jeffrey Gittelson; 5. Numerical algebraic geometry and algebraic kinematics Charles W. Wampler and Andrew J. Sommese; 6. Variationally consistent discretization schemes and numerical algorithms for contact problems Barbara Wohlmuth.

Product details

Authors Arieh Iserles, Arieh (University of Cambridge) Iserles
Assisted by Arieh Iserles (Editor)
Publisher Cambridge University Press ELT
 
Languages English
Product format Hardback
Released 26.05.2011
 
EAN 9781107010864
ISBN 978-1-107-01086-4
No. of pages 742
Series Acta Numerica
Subjects Natural sciences, medicine, IT, technology > Mathematics > Basic principles
Non-fiction book > Dictionaries, reference works

Customer reviews

No reviews have been written for this item yet. Write the first review and be helpful to other users when they decide on a purchase.

Write a review

Thumbs up or thumbs down? Write your own review.

For messages to CeDe.ch please use the contact form.

The input fields marked * are obligatory

By submitting this form you agree to our data privacy statement.