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Solving Partial Differential Equation Applications with PDE2D [Kõva köide]

(University of Texas at El Paso)
  • Formaat: Hardback, 224 pages, kõrgus x laius x paksus: 231x152x18 mm, kaal: 499 g
  • Ilmumisaeg: 07-Dec-2018
  • Kirjastus: John Wiley & Sons Inc
  • ISBN-10: 1119507936
  • ISBN-13: 9781119507932
Teised raamatud teemal:
  • Formaat: Hardback, 224 pages, kõrgus x laius x paksus: 231x152x18 mm, kaal: 499 g
  • Ilmumisaeg: 07-Dec-2018
  • Kirjastus: John Wiley & Sons Inc
  • ISBN-10: 1119507936
  • ISBN-13: 9781119507932
Teised raamatud teemal:

Solve engineering and scientific partial differential equation applications using the PDE2D software developed by the author 

Solving Partial Differential Equation Applications with PDE2D derives and solves a range of ordinary and partial differential equation (PDE) applications. This book describes an easy-to-use, general purpose, and time-tested PDE solver developed by the author that can be applied to a wide variety of science and engineering problems.  The equations studied include many time-dependent, steady-state and eigenvalue applications such as diffusion, heat conduction and convection, image processing, math finance, fluid flow, and elasticity and quantum mechanics, in one, two, and three space dimensions.

The author begins with some simple "0D" problems that give the reader an opportunity to become familiar with PDE2D before proceeding to more difficult problems. The book ends with the solution of a very difficult nonlinear problem, which requires a moving adaptive grid because the solution has sharp, moving peaks. This important book:

  • Describes a finite-element program, PDE2D, developed by the author over the course of 40 years
  • Derives the ordinary and partial differential equations, with appropriate initial and boundary conditions, for a wide variety of applications
  • Offers free access to the Windows version of the PDE2D software through the author’s website at www.pde2d.com
  • Offers free access to the Linux and MacOSX versions of the PDE2D software also, for instructors who adopt the book for their course and contact the author at www.pde2d.com

Written for graduate applied mathematics or computational science classes, Solving Partial Differential Equation Applications with PDE2D offers students the opportunity to actually solve interesting engineering and scientific applications using the accessible PDE2D.

Preface vii
I Introduction to PDE2D
1(20)
I.1 The Collocation and Galerkin Finite Element Methods
1(6)
I.2 The PDE2D User Interfaces
7(4)
I.3 Accuracy
11(2)
I.4 Computer Time and Memory
13(4)
I.5 Programming Hints
17(4)
1 The Damped Spring and Pendulum Problems
21(10)
1.1 Derivation of the Damped Spring and Pendulum Equations
21(2)
1.2 Damped Spring and Pendulum Examples
23(1)
1.3 Problems
24(7)
2 Beam and Plate Bending
31(8)
2.1 Derivation of Beam Bending Equation
31(1)
2.2 Derivation of Plate Bending Equation
32(1)
2.3 Beam and Plate Examples
33(1)
2.4 Problems
34(5)
3 Diffusion and Heat Conduction
39(22)
3.1 Derivation of Diffusion Equation
39(1)
3.2 Diffusion and Heat Conduction Examples
40(11)
3.3 Problems
51(10)
4 Pricing Options
61(14)
4.1 Derivation of Black--Scholes Equation
61(4)
4.2 Option Pricing Examples
65(5)
4.3 Problems
70(5)
5 Elasticity
75(20)
5.1 Derivation of Elasticity Equations
75(2)
5.2 Elasticity Examples
77(4)
5.3 Problems
81(14)
6 Incompressible Fluid Flow
95(24)
6.1 Derivation of Navier--Stokes Equations
95(2)
6.2 Stream Function and Penalty Method Approaches
97(1)
6.3 Fluid Flow Examples
97(8)
6.4 Problems
105(14)
7 The Schrodinger and Other Eigenvalue Equations
119(18)
7.1 The Schrodinger Equation
119(1)
7.2 Schrodinger and Maxwell Equations Examples
119(7)
7.3 Problems
126(11)
8 Minimal Surface and Membrane Wave Equations
137(12)
8.1 Derivation of Minimal Surface Equation
137(1)
8.2 Derivation of Membrane Wave Equation
138(2)
8.3 Examples
140(2)
8.4 Problems
142(7)
9 The KPI Wave Equation
149(12)
9.1 A Difficult Nonlinear Problem
149(6)
9.2 Numerical Results
155(6)
Appendix A Formulas from Multivariate Calculus 161(2)
Appendix B Algorithms Used by PDE2D 163(20)
Appendix C Equations Solved by PDE2D 183(10)
Appendix D Problem 5.7 Local Solvers 193(12)
References 205(2)
Index 207
Granville Sewell, PhD, is Professor in the Mathematics department at the University of Texas-El Paso, El Paso, TX. Dr. Sewell is the author of The Numerical Solution of Ordinary and Partial Differential Equations, Second Edition, and Computational Methods of Linear Algebra, Second Edition, both published by Wiley.