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Timothy J. Barth has written 3 work(s)
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Cover for 9783540658931 Cover for 9783540424208 Cover for 9783540437581 Cover for 9783642078415
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Product Description: The development of high-order accurate numerical discretization techniques for irregular domains and meshes is often cited as one of the remaining chal­ lenges facing the field of computational fluid dynamics. In structural me­ chanics, the advantages of high-order finite element approximation are widely recognized...read more (view table of contents, read Amazon.com's description)
By Timothy J. Barth (editor) and H. Deconinck (editor)

Hardcover:

9783540658931 | Springer Verlag, July 1, 1999, cover price $99.00 | About this edition: The development of high-order accurate numerical discretization techniques for irregular domains and meshes is often cited as one of the remaining chal­ lenges facing the field of computational fluid dynamics.

cover image for 9783540437581
Product Description: As computational fluid dynamics (CFD) is applied to ever more demanding fluid flow problems, the ability to compute numerical fluid flow solutions to a user specified tolerance as well as the ability to quantify the accuracy of an existing numerical solution are seen as essential ingredients in robust numerical simulation...read more (view table of contents, read Amazon.com's description)

Hardcover:

9783540437581 | Springer Verlag, February 1, 2003, cover price $189.00 | About this edition: As computational fluid dynamics (CFD) is applied to ever more demanding fluid flow problems, the ability to compute numerical fluid flow solutions to a user specified tolerance as well as the ability to quantify the accuracy of an existing numerical solution are seen as essential ingredients in robust numerical simulation.

Paperback:

9783642078415 | Springer Verlag, February 1, 2003, cover price $189.00 | About this edition: As computational fluid dynamics (CFD) is applied to ever more demanding fluid flow problems, the ability to compute numerical fluid flow solutions to a user specified tolerance as well as the ability to quantify the accuracy of an existing numerical solution are seen as essential ingredients in robust numerical simulation.

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