Welcome to Loot.co.za! Sign in / Register |Wishlists & Gift Vouchers |Help | Advanced search

Checkout
- Your Cart Price

Your cart

Your cart is empty

Books > Science & Mathematics > Mathematics > Applied mathematics

Buy Now

Numerical Simulation of Incompressible Viscous Flow - Methods and Applications (Hardcover) Loot Price: R4,958

Discovery Miles 49 580

Repayment Terms: R465 pm x 12*

Add to cart

Numerical Simulation of Incompressible Viscous Flow - Methods and Applications (Hardcover): Roland Glowinski, Tsorng-Whay Pan

Numerical Simulation of Incompressible Viscous Flow - Methods and Applications (Hardcover)

Roland Glowinski, Tsorng-Whay Pan

Series: De Gruyter Series in Applied and Numerical Mathematics

(sign in to rate)

Loot Price R4,958 Discovery Miles 49 580 | Repayment Terms: R465 pm x 12*

Expected to ship within 12 - 19 working days

Description
Details
Customer Reviews

This book on finite element-based computational methods for solving incompressible viscous fluid flow problems shows readers how to apply operator splitting techniques to decouple complicated computational fluid dynamics problems into a sequence of relatively simpler sub-problems at each time step, such as hemispherical cavity flow, cavity flow of an Oldroyd-B viscoelastic flow, and particle interaction in an Oldroyd-B type viscoelastic fluid. Efficient and robust numerical methods for solving those resulting simpler sub-problems are introduced and discussed. Interesting computational results are presented to show the capability of methodologies addressed in the book.

General

Imprint:	De Gruyter
Country of origin:	Germany
Series:	De Gruyter Series in Applied and Numerical Mathematics
Release date:	September 2022
First published:	2022
Authors:	Roland Glowinski • Tsorng-Whay Pan
Dimensions:	240 x 170mm (L x W)
Format:	Hardcover
Pages:	232
ISBN-13:	978-3-11-078491-6
Categories:	Books > Science & Mathematics > Mathematics > Numerical analysis Books > Science & Mathematics > Mathematics > Applied mathematics > General Promotions
LSN:	3-11-078491-2
Barcode:	9783110784916