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Computational Modeling

December 2015, ©2016
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Computational Modeling
, by Jay Wang introduces computational modeling and visualization of physical systems that are commonly found in physics and related areas. The authors begin with a framework that integrates model building, algorithm development, and data visualization for problem solving via scientific computing. Through carefully selected problems, methods, and projects, the reader is guided to learning and discovery by actively doing rather than just knowing physics.
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Table of Contents

Preface ix

Introduction 1

1.1 Computational modeling and visualization, 1

1.2 The science and art of numerics, 2

1.3 Fundamentals of programming and visualization, 6

1.4 Exercises and Projects, 14

1.A Floating point representation, 15

1.B Python installation, 17

1.C The Matplotlib plot function, 20

1.D Basic NumPy array operations, 21

Free Fall and Ordinary Differential Equations 27

2.1 Free fall with Euler’s method, 27

2.2 The Runge-Kutta (RK) methods, 32

2.3 System of first-order ODEs, 37

2.4 The leapfrog method, 43

2.5 Exercises and Projects, 48

2.A Area preservation of the leapfrog method, 52

2.B Program listings and descriptions, 54

Realistic Projectile Motion with Air Resistance 57

3.1 Visualization of ideal projectile motion, 57

3.2 Modeling air resistance, 58

3.3 Linear air resistance, 62

3.4 The Lambert ��function, 67

3.5 Quadratic air resistance and spin, 70

3.6 Physics of ball sports, 73

3.7 Shooting methods, 80

3.8 Exercises and Projects, 83

3.A Bisection and Newton’s root finders, 87

3.B Program listings and descriptions, 89

Planetary Motion and Few-Body Problems 92

4.1 Motion of a planet, 92

4.2 Properties of planetary motion, 94

4.3 Precession of Mercury, 99

4.4 Star wobbles and exoplanets, 107

4.5 Planar three-body problems, 111

4.6 The restricted three-body problem, 116

4.7 Exercises and Projects, 125

4.A Rotating frames and rate of change of vectors, 130

4.B Rotation matrices, 132

4.C Radial velocity transformation, 133

4.D Program listings and descriptions, 135

Nonlinear Dynamics and Chaos 144

5.1 A First Model: the Logistic Map, 144

5.2 Chaos, 153

5.3 A non-linear driven oscillator, 157

5.4 The Lorenz flow, 163

5.5 Power spectrum and Fourier transform, 168

5.6 Fractals, 170

5.7 Exercises and Projects, 174

5.A Program listings and descriptions, 179

Oscillations and Waves 184

6.1 A damped harmonic oscillator, 184

6.2 Vibrations of triatomic molecules, 188

6.3 Displacement of a string under a load, 194

6.4 Point source and finite element method, 199

6.5 Waves on a string, 204

6.6 Standing waves, 210

6.7 Waves on a membrane, 212

6.8 A falling tablecloth toward equilibrium, 215

6.9 Exercises and Projects, 217

6.A Program listings and descriptions, 222

Electromagnetic Fields 226

7.1 The game of electric field hockey, 226

7.2 Electric potentials and fields, 228

7.3 Laplace equation and finite element method, 233

7.4 Boundary value problems with FEM, 242

7.5 Meshfree methods for potentials and fields, 247

7.6 Visualization of electromagnetic fields, 251

7.7 Exercises and Projects, 256

7.A Program listings and descriptions, 261

Time-Dependent Quantum Mechanics 272

8.1 Time-dependent Schrödinger equation, 272

8.2 Direct simulation, 274

8.3 Free fall, the quantum way, 281

8.4 Two-state systems and Rabi flopping, 289

8.5 Quantum waves in 2D, 293

8.6 Exercises and Projects, 299

8.A Numerical integration, 304

8.B Program listings and descriptions, 307

Time-Independent Quantum Mechanics 313

9.1 Bound states by shooting methods, 313

9.2 Periodic potentials and energy bands, 319

9.3 Eigenenergies by FDM and FEM methods, 320

9.4 Basis expansion method, 326

9.5 Central field potentials, 331

9.6 Quantum dot, 335

9.7 Exercises and Projects, 343

9.A Numerov’s method, 348

9.B The linear potential and Airy function, 349

9.C Program listings and descriptions, 351

Simple Random Problems 362

10.1 Random numbers and radioactive decay, 362

10.2 Random walk, 364

10.3 Brownian motion, 367

10.4 Potential energy by Monte Carlo integration, 369

10.5 Exercises and Projects, 372

10.A Statistical theory of Brownian motion, 376

10.B Nonuniform distributions, 377

10.C Program listings and descriptions, 378

Thermal Systems 382

11.1 Thermodynamics of equilibrium, 382

11.2 The Ising model, 392

11.3 Thermal relaxation by simulated annealing, 404

11.4 Molecular dynamics, 406

11.5 Exercises and Projects, 414

11.A Boltzmann factor and entropy, 421

11.B Exact solutions of the 2D Ising model, 422

11.C Program listings and descriptions, 424

Classical and Quantum Scattering 428

12.1 Scattering and cross sections, 428

12.2 Rainbow and glory scattering, 432

12.3 Quantum scattering amplitude, 437

12.4 Partial waves, 439

12.5 Exercises and Projects, 450

12.A Derivation of the deflection function, 456

12.B Partial wave analysis, 457

12.C Program listings and descriptions, 459

List of Programs 463

Bibliography 467

Index 471

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The Wiley Advantage

  • Introduces a framework that integrates model building, algorithm development and data visualization for problem solving via scientific computing.
  • Broadens the scope and depth of problems that may be studied with computational modeling.
  • Follows a problem-centric approach to the presentation of the material throughout the text.
  • The reader is guided in the process of building over ninety fully-working sample programs since coding is essential to understanding an algorithm or to gaining insight to a physical process.
  • Python is used as the default programming language to show concrete, working examples and to take several advantages it offers: being easy to learn and use, readable, flexible and powerful.
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Instructors Resources
Wiley Instructor Companion Site
Instructor's Solutions Manual
Contains detailed solutions to all questions, exercises, and problems in the textbook.
Learning Objectives
Course Plan
Programs and Data Files
Digital Online Companion
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Students Resources
Wiley Student Companion Site
Learning Objectives
Programs and Data Files
Digital Online Companion
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Purchase Options
Wiley E-Text   
Computational Modeling and Visualization of Physical Systems with Python
ISBN : 978-1-119-17918-4
492 pages
January 2016, ©2016
$62.50   BUY

Paperback   
Computational Modeling and Visualization of Physical Systems with Python
ISBN : 978-1-119-23988-8
492 pages
December 2015, ©2016
$107.95   BUY

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