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(Ebook) Numerical Methods of Scientific Computing 1st Edition by J van Kan, A Segal, F Vermolen ISBN 9065623639 9789065623638

  • SKU: EBN-23989388
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Authors:J. van Kan; A. Segal; F. Vermolen
Pages:154 pages.
Year:2014
Editon:2
Publisher:Delft Academic Press
Language:english
File Size:127.25 MB
Format:pdf
ISBNS:9789065623638, 9065623639
Categories: Ebooks

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(Ebook) Numerical Methods of Scientific Computing 1st Edition by J van Kan, A Segal, F Vermolen ISBN 9065623639 9789065623638

(Ebook) Numerical Methods of Scientific Computing 1st Edition by J van Kan, A Segal, F Vermolen - Ebook PDF Instant Download/Delivery: 9065623639, 9789065623638
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ISBN 10: 9065623639 
ISBN 13: 9789065623638
Author: J van Kan, A Segal, F Vermolen

This is a book about numerically solving partial differential equations occurring in technical and physical contexts and we (the authors) have set ourselves a more ambitious target than to just talk about the numerics. Our aim is to show the place of numerical solutions in the general modeling process and this must inevitably lead to considerations about modeling itself. Partial differential equations usually are a consequence of applying first principles to a technical or physical problem at hand. That means, that most of the time the physics also have to be taken into account especially for validation of the numerical solution obtained. This book in other words is especially aimed at engineers and scientists who have ’realworld’ problems and itwill concern itself lesswith peskymathematical detail. For the interested reader though, we have included sections on mathematical theory to provide the necessary mathematical background. Since this treatment had to be on the superficial side we have provided further reference to the literature where necessary.

(Ebook) Numerical Methods of Scientific Computing 1stTable of contents:

Chapter 1 Review of some basic mathematical concepts
1.1 Preliminaries
1.2 Global contents of the book
1.3 Building blocks for mathematical modeling
1.3.1 Gradient of a scalar
1.3.2 Directional derivative
1.3.3 Divergence of a vector field
1.3.4 Gauss' divergence theorem
1.3.5 Conservation laws
1.4 Minimization
1.4.1 Elastic string
1.5 Preliminaries from linear algebra
1.6 Some theorems used in the mathematical theory
1.7 Summary of Chapter 1
Chapter 2 A crash course in PDE's
Chapter 3 Finite difference methods
Chapter 4 Finite volume methods
Chapter 5 Minimization problems in physics
5.1 Introduction
5.1.1 Minimal potential energy
5.1.2 Derivation of the differential equation
5.2 A general 1-D problem with 1st order derivatives
5.3 A simple 2-D case
5.4 Examples of minimization problems
5.4.1 Minimal surface problem
5.4.2 Minimal potential energy
5.4.3 Small displacement theory of elasticity (Plane stress)
5.4.4 Loaded and clamped plate
5.5 A 2-D problem
5.6 Theorectical remarks
5.6.1 Smoothness requirements
5.6.2 Boundary conditions
5.6.3 Weak formulation
5.7 Exercises
5.8 From PDE to minimization problem
5.8.1 Introduction
5.8.2 Linear problems with homogeneous boundary conditions
5.8.3 Linear problems with non-homogeneous boundary conditions
5.8.4 Exercises
5.9 Mathematical theory of minimization
5.10 Summary of chapter 5
Chapter 6 The numerical solution of minimization problems
6.1 Ritz's method
6.2 The finite element method in R1
6.3 The finite element method in R2
6.4 Theoretical remarks
6.5 Summary of Chapter 6
Chapter 7 The weak formulation and Galerkin's method
7.1 The weak formulation for a symmetrical problem
7.2 The weak formulation for a non-symmetric problem
7.3 Galerlin's method
7.4 Petrov-Galerkin
7.5 An example of a system of coupled PDEs
7.6 Mathematical theory
7.7 Summary of chapter 7
Chapter 8 Extension of the FEM
Chapter 9 Solution of large systems of equations
9.7 Non-linear equations
Chapter 10 The heat- or diffusion equation
Chapter 11 The wave equation
Chapter 12 The transport equation
Chapter 13 Moving boundary problems

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Tags: J van Kan, A Segal, F Vermolen, Methods, Scientific

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