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Continuum Modeling in the Physical Sciences illustrated edition [Pehme köide]

  • Formaat: Paperback / softback, 238 pages, kõrgus x laius x paksus: 228x151x14 mm, kaal: 428 g, 35 exercises
  • Sari: Mathematical Modeling and Computation No. 13
  • Ilmumisaeg: 30-Sep-2007
  • Kirjastus: Society for Industrial & Applied Mathematics,U.S.
  • ISBN-10: 089871625X
  • ISBN-13: 9780898716252
Teised raamatud teemal:
  • Formaat: Paperback / softback, 238 pages, kõrgus x laius x paksus: 228x151x14 mm, kaal: 428 g, 35 exercises
  • Sari: Mathematical Modeling and Computation No. 13
  • Ilmumisaeg: 30-Sep-2007
  • Kirjastus: Society for Industrial & Applied Mathematics,U.S.
  • ISBN-10: 089871625X
  • ISBN-13: 9780898716252
Teised raamatud teemal:
Van Groesen (University of Twente) and Molenaar (Wageningen University) apply dimensional analysis, the transport theorem, differential equations, wave equations, and variational models to problems from the natural sciences. The undergraduate textbook explains conservation principles, constitutive relations, stability, robustness, polymer dynamics, fiber spinning, surface water waves, and waveguide optics. Annotation ©2007 Book News, Inc., Portland, OR (booknews.com)

Mathematical modeling—the ability to apply mathematical concepts and techniques to real-life systems—has expanded considerably over the last decades, making it impossible to cover all of its aspects in one course or textbook. Continuum Modeling in the Physical Sciences provides an extensive exposition of the general principles and methods of this growing field with a focus on applications in the natural sciences. The authors present a thorough treatment of mathematical modeling from the elementary level to more advanced concepts.Most of the chapters are devoted to a discussion of central issues such as dimensional analysis, conservation principles, balance laws, constitutive relations, stability, robustness, and variational methods, and are accompanied by numerous real-life examples. Readers will benefit from the exercises placed throughout the text and the Challenging Problems sections found at the ends of several chapters. The last chapter is devoted to elaborated case studies in polymer dynamics, fiber spinning, water waves, and waveguide optics.

Muu info

Principles and methods of mathematical modeling with a focus on applications in the natural sciences.
Preface ix
Dimensional Analysis and Scaling
1(30)
Mathematical models
1(1)
Dimensions
1(3)
Dimensional analysis
4(13)
Scaling
17(2)
Challenging problems
19(12)
The Prandtl--Blasius problem
20(3)
Heat conduction in a bar
23(2)
Water waves
25(6)
Conservation Principles and Constitutive Relations
31(38)
Discrete versus continuous models
32(2)
Mass and heat balances in one dimension
34(6)
Constitutive relations in one dimension
40(11)
Transport theorem
51(2)
Mass balance in three dimensions
53(1)
Heat balance in three dimensions
54(1)
Momentum
54(8)
Stress in continuous media
55(2)
Momentum balance
57(1)
Constitutive relations in three dimensions
58(4)
Energy balance
62(2)
Challenging problem: Shallow water waves
64(5)
Basic Concepts
69(36)
State and state space
69(8)
State
70(1)
State space
71(1)
Evolution equations
72(5)
ODEs
77(11)
Linearizing ODEs
79(1)
Expansions in basis vectors
79(2)
WKB approximation
81(7)
PDEs
88(17)
Linearizing PDEs
88(1)
Expansions in basis functions
89(6)
Infinite spatial intervals
95(2)
Plane waves
97(3)
Group velocity
100(5)
Stability and Robustness
105(30)
Stability
106(6)
Stability definitions
112(5)
Linearization
117(3)
Robustness
120(5)
Singular perturbations
125(5)
Challenging problems
130(5)
Traffic flow
130(1)
Population models
131(1)
Lindstedt's method
132(3)
Variational Modeling
135(30)
Variational principles
136(5)
Optimality in the natural sciences
136(1)
General formulation of optimization problems
137(1)
Principle of minimal potential energy
138(3)
Variational approximation and restriction
141(5)
General methodology
141(2)
Low- and high-dimensional restrictions
143(3)
Variational calculus
146(10)
Finite-dimensional problems
146(2)
Basic notions of variational calculus
148(8)
Variational restriction
156(3)
Ritz--Galerkin projections
157(1)
Variational accuracy
157(2)
Scientific computing
159(6)
Approximation of the state variables
159(3)
Variational treatment of Sturm--Liouville problems
162(3)
Advanced Models
165(56)
Polymer dynamics and vibrating strings
165(13)
Bead-spring representation
166(2)
Continuous limit
168(3)
Vibrating string
171(1)
Polymer dynamics
171(3)
Brownian motion
174(4)
Fiber spinning
178(8)
Modeling fiber spinning
179(2)
Newtonian flow
181(2)
Stationary solution
183(1)
Stability analysis
183(3)
Surface water waves
186(18)
Luke's variational formulation
188(2)
Reformulation and dimension reduction
190(4)
Special cases of wave models by variational restriction
194(8)
Spatial discretization of Hamiltonian systems
202(2)
Optics
204(17)
Introduction
205(2)
Waveguide optics
207(6)
Variational approach to the WKB approximation
213(2)
Transmittance through a finite slab
215(6)
Bibliography 221(4)
Index 225


E. van Groesen is a Professor in the Department of Applied Mathematics at the University of Twente, The Netherlands. Jaap Molenaar is a Professor and Head of the Applied Mathematics Group, Biometris, at Wageningen University and Research Centre, The Netherlands.