Computational Mathematics
Models, Methods, and Analysis with MATLAB? and MPI, Second Edition
2nd Edition
Published on 11. November 2015
500 pages
978-1-4822-3516-6 (ISBN)
Description
Computational Mathematics: Models, Methods, and Analysis with MATLAB and MPI is a unique book covering the concepts and techniques at the core of computational science. The author delivers a hands-on introduction to nonlinear, 2D, and 3D models; nonrectangular domains; systems of partial differential equations; and large algebraic problems requirin
More details
Series
Edition
2nd edition
Language
English
Place of publication
Philadelphia, PA
United States
Publishing group
Taylor & Francis Inc
Target group
College/higher education
Edition type
Revised edition
Illustrations
32 s/w Tabellen, 97 s/w Abbildungen
97 b/w images and 32 tables
File size
13,17 MB
ISBN-13
978-1-4822-3516-6 (9781482235166)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Robert E. White
Computational Mathematics
Models, Methods, and Analysis with MATLAB? and MPI, Second Edition
Book
10/2024
2nd Edition
Chapman & Hall/CRC
€78.50
Shipment within 10-20 days
Robert E. White
Computational Mathematics
Models, Methods, and Analysis with MATLAB? and MPI, Second Edition
Book
11/2015
2nd Edition
Chapman & Hall/CRC
€166.50
Article not available for order
Previous edition
Dimitrios Mitsotakis
Computational Mathematics
An introduction to Numerical Analysis and Scientific Computing with Python
E-Book
06/2023
1st Edition
Chapman & Hall/CRC
€158.99
Available for download
Person
Robert E. White (North Carolina State University, Raleigh, USA)
Content
Discrete Time-Space Models. Steady-State Discrete Models. Poisson Equation Models. Nonlinear and 3D Models. FEM and Fluid Flows. Epidemics, Images, and Money. High-Performance Computing. Message Passing Interface. Classical Methods for Ax = d. Krylov Methods for Ax = d.
