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9780792364177

Topics in Industrial Mathematics

by ;
  • ISBN13:

    9780792364177

  • ISBN10:

    0792364171

  • Format: Hardcover
  • Copyright: 2000-07-01
  • Publisher: Kluwer Academic Pub
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Supplemental Materials

What is included with this book?

Summary

This book is devoted to some analytical and numerical methods for analyzing industrial problems related to emerging technologies such as digital image processing, material sciences and financial derivatives affecting banking and financial institutions. Case studies are based on industrial projects given by reputable industrial organizations of Europe to the Institute of Industrial and Business Mathematics, Kaiserslautern, Germany. Mathematical methods presented in the book which are most reliable for understanding current industrial problems include Iterative Optimization Algorithms, Galerkin's Method, Finite Element Method, Boundary Element Method, Quasi-Monte Carlo Method, Wavelet Analysis, and Fractal Analysis. The Black-Scholes model of Option Pricing, which was awarded the 1997 Nobel Prize in Economics, is presented in the book. In addition, basic concepts related to modeling are incorporated in the book. Audience: The book is appropriate for a course in Industrial Mathematics for upper-level undergraduate or beginning graduate-level students of mathematics or any branch of engineering.

Table of Contents

Preface xi
Case Studies at Kaiserslautern
1(52)
Molecular alignment
2(5)
The problem
2(1)
The model
2(4)
The evaluation
6(1)
The interpretation of the results
6(1)
Acoustic identification of vehicles
7(10)
The problem
7(1)
The model
7(2)
The evaluation
9(7)
The interpretation of the results
16(1)
The Airbag-sensor
17(10)
The objective
17(1)
The modelling project
17(1)
The algorithmic project
18(1)
The modelling of Safing sensor
18(4)
The advanced model
22(5)
How to judge the quality of a nonwoven fabric
27(15)
The problem
27(1)
The models: A first approach
28(7)
Evaluation of our first model
35(1)
The second model
36(6)
Fatigue lifetime
42(11)
Introduction
42(2)
Physical situation, modelling, rate independence, and rainflow counting
44(6)
Damage estimation using rainflow counted data
50(3)
Algorithms for Optimization
53(26)
Introduction
53(1)
General results about optimization
54(6)
Special classes of optimization problem
60(2)
Programming problem
60(1)
Calculus of variation
60(1)
Minimum norm problem and projection
61(1)
Optimal control problem for a system represented by differential equations
61(1)
Newton algorithm and its generalization
62(9)
Conjugate gradient method
71(3)
Variable metric methods (DFP and BFGS methods)
74(2)
Problems
76(3)
Maxwell's Equations and Numerical Methods
79(74)
Maxwell's equations
80(16)
Brief historical note and physical laws
80(6)
Maxwell's equations and their consequences
86(6)
Variational formulation of Maxwell's equations
92(2)
Variational formulation (weak formulation) of magnetostatics of a surface current
94(2)
Finite element method
96(24)
Introduction to numerical methods
96(8)
Finite element method
104(2)
Abstract finite element method
106(7)
Finite element method in concrete cases
113(7)
Boundary element method
120(18)
Basic mathematical results for the boundary element method
121(5)
Formulation of boundary value problems in terms of integral equations over boundary of the given domain
126(4)
Main ingredients of the boundary element method
130(6)
Coupling of boundary element and finite element methods
136(2)
Problems
138(15)
Monte Carlo Methods
153(28)
Monte Carlo method
154(5)
Motivation
154(3)
Monte Carlo method in m-dimensional Euclidean space
157(2)
Quasi-Monte Carlo methods
159(10)
Basic results
159(5)
Properties of discrepancy and star discrepancy
164(5)
The particle methods
169(3)
Introduction
169(1)
Particle approximations - measure-theoretic approach
170(1)
Functional analytic approach
171(1)
A current study of the particle method
172(6)
Introduction
172(2)
Derivation of distance
174(3)
Computational results
177(1)
Spatially homogeneous Boltzmann equation
178(1)
Problems
178(3)
Image Processing
181(84)
Image model and methods of image processing
182(19)
Image model
182(1)
Image enhancement
183(2)
Image smoothing
185(3)
Image restoration
188(3)
Image analysis
191(7)
Variational methods in image processing
198(3)
Introduction to Fourier analysis
201(18)
Amplitude, frequency and phase
201(1)
Basic results
202(4)
Continuous and discrete Fourier transforms
206(6)
The fast Fourier transforms
212(3)
Fourier analysis via computer
215(4)
Wavelets with applications
219(34)
Introduction
219(1)
Wavelets and multi-resolution analysis
220(10)
Special features of wavelets
230(9)
Performance of Fourier, fractal and wavelet methods in image compression
239(10)
Differential equation and wavelets
249(4)
Fractal image compression
253(8)
Introduction
253(1)
IFS theory
254(7)
Problems
261(4)
Models of Hysteresis and Applications
265(22)
Introduction to hysteresis
265(3)
Hysteresis operators
268(6)
Rainflow counting method
274(7)
Energy dissipation
281(3)
Hysteresis in the wave equation
284(3)
Appendix
287(58)
Introduction to mathematical models
287(8)
Fractal image compression
295(9)
Some basic results
304(11)
Results from Sobolev spaces
315(11)
Numerical solutions of linear systems
326(7)
Black-Scholes world of option pricing
333(12)
Bibliography 345(22)
Symbols 367(2)
Index 369

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