Advanced Topics in Computational Partial Differential Equations - Info and Reading Options
Numerical Methods and Diffpack Programming
By Hans Petter Langtangen and Aslak Tveito
"Advanced Topics in Computational Partial Differential Equations" was published by Springer in 2003 - Berlin, the book is rated 4/5 in google books from 1 ratings, the book is classified in Mathematics genre, it has 658 pages and the language of the book is English.
“Advanced Topics in Computational Partial Differential Equations” Metadata:
- Title: ➤ Advanced Topics in Computational Partial Differential Equations
- Authors: Hans Petter LangtangenAslak Tveito
- Language: English
- Google Books Rating: 4/5 from 1 Ratings.
- Number of Pages: 658
- Is Family Friendly: Yes - No Mature Content
- Publisher: Springer
- Publish Date: 2003
- Publish Location: Berlin
- Genres: Mathematics
“Advanced Topics in Computational Partial Differential Equations” Subjects and Themes:
- Subjects: ➤ Partial Differential equations - Diffpack (Computer file) - Data processing - Numerical solutions - Differential equations, partial, numerical solutions - Mathematics - Differential equations, partial - Computer science - Computational Science and Engineering
Edition Specifications:
- Pagination: xix, 658 p. :
Edition Identifiers:
- Google Books ID: -m4FfE2SJ9kC
- The Open Library ID: OL17116554M - OL18206479W
- Library of Congress Control Number (LCCN): 2003059238
- ISBN-13: 9783540014386
- ISBN-10: 3540014381
- All ISBNs: 3540014381 - 9783540014386
AI-generated Review of “Advanced Topics in Computational Partial Differential Equations”:
Snippets and Summary:
The book is suitable for readers with a background in basic finite element and finite difference methods for partial differential equations who wants gentle introductions to advanced topics like parallel computing, multigrid methods, and ...
"Advanced Topics in Computational Partial Differential Equations" Description:
The Open Library:
The book is suitable for readers with a background in basic finite element and finite difference methods for partial differential equations who wants gentle introductions to advanced topics like parallel computing, multigrid methods, and special methods for systems of PDEs. The goal of all chapters is to *compute* solutions to problems, hence algorithmic and software issues play a central role. All software examples use the Diffpack programming environment, so to take advantage of these examples some experience with Diffpack is required. There are also some chapters covering complete applications, i.e., the way from a model, expressed as systems of PDEs, through discretization methods, algorithms, software design, verification, and computational examples.
Google Books:
A gentle introduction to advanced topics such as parallel computing, multigrid methods, and special methods for systems of PDEs. The goal of all chapters is to ‘compute’ solutions to problems, hence algorithmic and software issues play a central role. All software examples use the Diffpack programming environment - some experience with Diffpack is required. There are also some chapters covering complete applications, i.e., the way from a model, expressed as systems of PDEs, through to discretization methods, algorithms, software design, verification, and computational examples. Suitable for readers with a background in basic finite element and finite difference methods for partial differential equations.
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- Public Domain: No
- Availability Status: Partially available
- Availability Status for country: US.
- Available Formats: Text is not avialbe, image copy is available.
- Google Books Link: Google Books
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