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Books > Science & Mathematics > Mathematics > Calculus & mathematical analysis > Differential equations

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Adaptive Numerical Solution of PDEs (Hardcover) Loot Price: R1,550
Discovery Miles 15 500
You Save: R432 (22%)
Adaptive Numerical Solution of PDEs (Hardcover): Peter Deuflhard, Martin Weiser

Adaptive Numerical Solution of PDEs (Hardcover)

Peter Deuflhard, Martin Weiser

Series: De Gruyter Textbook

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List price R1,982 Loot Price R1,550 Discovery Miles 15 500 | Repayment Terms: R145 pm x 12* You Save R432 (22%)

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This book deals with the general topic "Numerical solution of partial differential equations (PDEs)" with a focus on adaptivity of discretizations in space and time. By and large, introductory textbooks like "Numerical Analysis in Modern Scientific Computing" by Deuflhard and Hohmann should suffice as a prerequisite. The emphasis lies on elliptic and parabolic systems. Hyperbolic conservation laws are treated only on an elementary level excluding turbulence. Numerical Analysis is clearly understood as part of Scientific Computing. The focus is on the efficiency of algorithms, i.e. speed, reliability, and robustness, which directly leads to the concept of adaptivity in algorithms. The theoretical derivation and analysis is kept as elementary as possible. Nevertheless required somewhat more sophisticated mathematical theory is summarized in comprehensive form in an appendix. Complex relations are explained by numerous figures and illustrating examples. Non-trivial problems from regenerative energy, nanotechnology, surgery, and physiology are inserted. The text will appeal to graduate students and researchers on the job in mathematics, science, and technology. Conceptually, it has been written as a textbook including exercises and a software list, but at the same time it should be well-suited for self-study.

General

Imprint: De Gruyter
Country of origin: Germany
Series: De Gruyter Textbook
Release date: August 2012
First published: 2012
Authors: Peter Deuflhard • Martin Weiser
Dimensions: 240 x 170mm (L x W)
Format: Hardcover
Pages: 432
ISBN-13: 978-3-11-028310-5
Categories: Books > Science & Mathematics > Mathematics > Calculus & mathematical analysis > Differential equations
LSN: 3-11-028310-7
Barcode: 9783110283105

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