Free shipping on orders over 19,990 Ft via Packeta, Fox Post Box, and DPD Collection Point

Check order status

Become part of a community of book lovers from all over the world and get access to a whole bunch of benefits. Create an account for free

Free delivery for purchases over 19 990 Ft

DPD point 990 Ft DPD courier 1 190 Ft GLS point 1 190 Ft Hungarian Post 1 795 Ft Hungarian Post 1 690 Ft Hungarian Post 1 690 Ft FoxPost 1 190 Ft Packeta point 1 190 Ft GLS courier 1 690 Ft

Contact

How to shop

Help

My account

▸ Empty :-(

Free shipping on orders over 19,990 Ft via Packeta, Fox Post Box, and DPD Collection Point

Domain Decomposition Methods in Science and Engineering XIX

Name: Domain Decomposition Methods in Science and Engineering XIX
Brand: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
SKU: 01655339
Price: 40501 HUF
Availability: InStock
Author: Yunqing Huang
ISBN: 9783642113031

Language

English

Book Hardback

Libristo code: 01655339

Publishers Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, October 2010

These are the proceedings of the 19th international conference on domain decomposition methods in sc... Full description

Libristo code: 01655339

271 b

40 501 Ft

In stock at our supplier Shipping in 10-13 days

Up to 30 days for returns

Customers also purchased

Příručka ruského debutanta Gary Shteyngart

Hardback

3 636 Ft

Identidades Contemporaneas de La Diversidad Sexual Carlos A Arga Araz

Paperback

13 805 Ft

Ange et compagnie - tome 6 Le combat de Mélanie Annie Dalton

Paperback

3 023 Ft

These are the proceedings of the 19th international conference on domain decomposition methods in science and engineering. Domain decomposition methods are iterative methods for solving the often very large linear or nonlinear systems of algebraic equations that arise in various problems in mathematics, computational science, engineering and industry. They are designed for massively parallel computers and take the memory hierarchy of such systems into account. This is essential for approaching peak floating point performance. There is an increasingly well-developed theory which is having a direct impact on the development and improvement of these algorithms.