理科类系列教材：计算机模拟方法在物理学中的应用（第3版）（影印版）
目 录内容简介
~~~ Introduction
1.1 Importance of Computers in Physics
1.2 The Importance of Computer Simulation
1.3 Programming Languages
1.4 Object-Oriented Techniques
1.5 How to Use this Book
Appendix 1A: Laboratory Reports
2 ~~ Tools for Doing Simulations
2. l Introduction
2.2 Simulating Free Fall
2.3 Getting Started with Object-Oriented Programming
2.4 Inheritance
2.5 The Open Source Physics Library
2.6 Animation and Simulation
2.7 Model-View-Controller
Appendix 2A: Complex Numbers
3 ~~ Simulating Particle Motion
3.1 Modified Euler Algorithms
3.2 Interfaces
3.3 Drawing
3.4 Specifying the State of a System Using Arrays
3.5 The ODE Interface
3.6 The ODESolver Interface
3.7 Effects of Drag Resistance
3.8 Two-Dimensional Trajectories
3.9 Decay Processes
*3.10 Visualizing Three-Dimensional Motion
3.11 Levels of Simulation
Appendix 3A: Numerical Integration of Newtons Equation of Motion
4 ~~ Oscillatory Systems
4.1 Simple Harmonic Motion
4.2 The Motion of a Pendulum
4.3 Damped Harmonic Oscillator
4.4 Response to External Forces
4.5 Electrical Circuit Oscillations
4.6 Accuracy and Stability
4.7 Projects
5 ~~ Few-Body Problems: The Motion of the Planets
5. l Planetary Motion
5.2 The Equations of Motion
5.3 Circular and Elliptical Orbits
5.4 Astronomical Units
5.5 Log-Log and Semilog Plots
5.6 Simulation of the Orbit
5.7 Impulsive Forces
5.8 Velocity Space
5.9 AMini-Solar System
5.10 Two-Body Scattering
5.11 Three-Body Problems
5.12 Projects
6 ~~ The Chaotic Motion of Dynamical Systems
6.1 Introduction
6.2 ASimple One-Dimensional Map
6.3 Period Doubling
6.4 Universal Properties and Self-Similarity
6.5 Measuring Chaos
*6.6 Controlling Chaos
6.7 Higher-Dimensional Models
6.8 Forced Damped Pendulum
*6.9 Hamiltonian Chaos
6.10 Perspective
6.11 Projects
Appendix 6A: Stability of the Fixed Points of the Logistic Map
Appendix 6B: Finding the Roots of a Function
7 ~~ Random Processes
7.1 Order to Disorder
7.2 Random Walks
7.3 Modified Random Walks
7.4 The Poisson Distribution and Nuclear Decay
7.5 Problems in Probability
7.6 Method of Least Squares
7.7 Applications to Polymers
7.8 Diffusion-Controlled Chemical Reactions
7.9 Random Number Sequences
7.10 Variational Methods
7.11 Projects
Appendix 7A: Random Walks and the Diffusion Equation
8 ~~ The Dynamics of Many-Particle Systems
8.1 Introduction
8.2 The Interrnolecular Potential
8.3 Units
8.4 The Numerical Algorithm
8.5 Periodic Boundary Conditions
8.6 A Molecular Dynamics Program
8.7 Thermodynamic Quantities
8.8 Radial Distribution Function
8.9 Hard Disks
8.10 Dynamical Properties
8.11 Extensions
8.12 Projects
Appendix 8A: Reading and Saving Configurations
9 ~~ Normal Modes and Waves
9.1 Coupled Oscillators and Normal Modes
9.2 Numerical Solutions
9.3 Fourier Series
9.4 Two-Dimensional Fourier Series
9.5 Fourier Integrals
9.6 Power Spectrum
9.7 Wave Motion
9.8 Interference
9.9 Fraunhofer Diffraction
9.10 Fresnel Diffraction
Appendix 9A: Complex Fourier Series
Appendix 9B: Fast Fourier Transform
Appendix 9C: Plotting Scalar Fields
10 ~~ Electrodynamics
10.1 Static Charges
10.2 Electric Fields
10.3 Electric Field Lines
10.4 Electric Potential
10.5 Numerical Solutions of Boundary Value Problems
10.6 Random Walk Solution of Laplaces Equation
"10.7 Fields Due to Moving Charges
"10.8 Maxwells Equations
10.9 Projects 407
Appendix 10A: Plotting Vector Fields
11 ~~ Numerical and Monte Carlo Methods
11.1 Numerical Integration Methods in One Dimension
11.2 Simple Monte Carlo Evaluation of Integrals
11.3 Multidimensional Integrals
11.4 Monte Carlo Error Analysis
11.5 Nonuniform Probability Distributions
11.6 Importance Sampling
11.7 Metropolis Algorithm
* 11.8 Neutron Transport
Appendix 11A: Error Estimates for Numerical Integration
Appendix 11B: The Standard Deviation of the Mean
Appendix 11C: The Acceptance-Rejection Method
Appendix llD: Polynomials and Interpolation
12 ~~ Percolation
12.1 Introduction
12.2 The Percolation Threshold
12.3 Finding Clusters
12.4 Critical Exponents and Finite Size Scaling
12.5 The Renormalization Group
12.6 Projects
13 ~~ Fractals and Kinetic Growth Models
13.1 The Fractal Dimension
13.2 Regular Fractals
13.3 Kinetic Growth Processes
13.4 Fractals and Chaos
13.5 Many Dimensions
13.6 Projects
14 ~~ Complex Systems
14.1 Cellular Automata
14.2 Self-Organized Critical Phenomena
14.3 The Hopfield Model and Neural Networks
14.4 Growing Networks
14.5 Genetic Algorithms
14.6 Lattice Gas Models of Fluid Flow
14.7 Overview and Projects
15 ~~ Monte Carlo Simulations of Thermal Systems
15.1 Introduction
15.2 The Microcanonical Ensemble
15.3 The Demon Algorithm
15.4 The Demon as a Thermometer
15.5 The Ising Model
15.6 The Metropolis Algorithm
15.7 Simulation of the Ising Model
15.8 The Ising Phase Transition
15.9 Other Applications of the Ising Model
15.10 Simulation of Classical Fluids
15.11 Optimized Monte Carlo Data Analysis
* 15.12 Other Ensembles
15.13 More Applications
15.14 Projects
Appendix 15A: Relation of the Mean Demon Energy to the Temperature
Appendix 15B: Fluctuations in the Canonical Ensemble
Appendix 15C: Exact Enumeration of the 2 x 2 Ising Model
16 ~~ Quantum Systems
16.1 Introduction
16.2 Review of Quantum Theory
16.3 Bound State Solutions
16.4 Time Development of Eigenstate Superpositions
16.5 The Time-Dependent Schrrdinger Equation
16.6 Fourier Transformations and Momentum Space
16.7 Variational Methods
16.8 Random Walk Solutions of the Schrrdinger Equation
16.9 Diffusion Quantum Monte Carlo
16.10 Path Integral Quantum Monte Carlo
16.11 Projects
Appendix 16A: Visualizing Complex Functions
17 ~~ Visualization and Rigid Body Dynamics
17.1 Two-Dimensional Transformations
17.2 Three-Dimensional Transformations
17.3 The Three-Dimensional Open Source Physics Library
17.4 Dynamics of a Rigid Body
17.5 Quaternion Arithmetic
17.6 Quaternion Equations of Motion
17.7 Rigid Body Model
17.8 Motion of a Spinning Top
17.9 Projects
Appendix 17A: Matrix Transformations
Appendix 17B: Conversions
18 ~~ Seeing in Special and General Relativity
t8.1 Special Relativity
18.2 General Relativity
18.3 Dynamics in Polar Coordinates
18.4 Black Holes and Schwarzschild Coordinates
18.5 Particle and Light Trajectories
18.6 Seeing
18.7 General Relativistic Dynamics
* 18.8 The Kerr Metric
18.9 Projects
19 ~~ Epilogue: The Unity of Physics
19.1 The Unity of Physics
19.2 Spiral Galaxies
19.3 Numbers, Pretty Pictures, and Insight
19.4 Constrained Dynamics
19.5 What are Computers Doing to Physics?
Index~
1.1 Importance of Computers in Physics
1.2 The Importance of Computer Simulation
1.3 Programming Languages
1.4 Object-Oriented Techniques
1.5 How to Use this Book
Appendix 1A: Laboratory Reports
2 ~~ Tools for Doing Simulations
2. l Introduction
2.2 Simulating Free Fall
2.3 Getting Started with Object-Oriented Programming
2.4 Inheritance
2.5 The Open Source Physics Library
2.6 Animation and Simulation
2.7 Model-View-Controller
Appendix 2A: Complex Numbers
3 ~~ Simulating Particle Motion
3.1 Modified Euler Algorithms
3.2 Interfaces
3.3 Drawing
3.4 Specifying the State of a System Using Arrays
3.5 The ODE Interface
3.6 The ODESolver Interface
3.7 Effects of Drag Resistance
3.8 Two-Dimensional Trajectories
3.9 Decay Processes
*3.10 Visualizing Three-Dimensional Motion
3.11 Levels of Simulation
Appendix 3A: Numerical Integration of Newtons Equation of Motion
4 ~~ Oscillatory Systems
4.1 Simple Harmonic Motion
4.2 The Motion of a Pendulum
4.3 Damped Harmonic Oscillator
4.4 Response to External Forces
4.5 Electrical Circuit Oscillations
4.6 Accuracy and Stability
4.7 Projects
5 ~~ Few-Body Problems: The Motion of the Planets
5. l Planetary Motion
5.2 The Equations of Motion
5.3 Circular and Elliptical Orbits
5.4 Astronomical Units
5.5 Log-Log and Semilog Plots
5.6 Simulation of the Orbit
5.7 Impulsive Forces
5.8 Velocity Space
5.9 AMini-Solar System
5.10 Two-Body Scattering
5.11 Three-Body Problems
5.12 Projects
6 ~~ The Chaotic Motion of Dynamical Systems
6.1 Introduction
6.2 ASimple One-Dimensional Map
6.3 Period Doubling
6.4 Universal Properties and Self-Similarity
6.5 Measuring Chaos
*6.6 Controlling Chaos
6.7 Higher-Dimensional Models
6.8 Forced Damped Pendulum
*6.9 Hamiltonian Chaos
6.10 Perspective
6.11 Projects
Appendix 6A: Stability of the Fixed Points of the Logistic Map
Appendix 6B: Finding the Roots of a Function
7 ~~ Random Processes
7.1 Order to Disorder
7.2 Random Walks
7.3 Modified Random Walks
7.4 The Poisson Distribution and Nuclear Decay
7.5 Problems in Probability
7.6 Method of Least Squares
7.7 Applications to Polymers
7.8 Diffusion-Controlled Chemical Reactions
7.9 Random Number Sequences
7.10 Variational Methods
7.11 Projects
Appendix 7A: Random Walks and the Diffusion Equation
8 ~~ The Dynamics of Many-Particle Systems
8.1 Introduction
8.2 The Interrnolecular Potential
8.3 Units
8.4 The Numerical Algorithm
8.5 Periodic Boundary Conditions
8.6 A Molecular Dynamics Program
8.7 Thermodynamic Quantities
8.8 Radial Distribution Function
8.9 Hard Disks
8.10 Dynamical Properties
8.11 Extensions
8.12 Projects
Appendix 8A: Reading and Saving Configurations
9 ~~ Normal Modes and Waves
9.1 Coupled Oscillators and Normal Modes
9.2 Numerical Solutions
9.3 Fourier Series
9.4 Two-Dimensional Fourier Series
9.5 Fourier Integrals
9.6 Power Spectrum
9.7 Wave Motion
9.8 Interference
9.9 Fraunhofer Diffraction
9.10 Fresnel Diffraction
Appendix 9A: Complex Fourier Series
Appendix 9B: Fast Fourier Transform
Appendix 9C: Plotting Scalar Fields
10 ~~ Electrodynamics
10.1 Static Charges
10.2 Electric Fields
10.3 Electric Field Lines
10.4 Electric Potential
10.5 Numerical Solutions of Boundary Value Problems
10.6 Random Walk Solution of Laplaces Equation
"10.7 Fields Due to Moving Charges
"10.8 Maxwells Equations
10.9 Projects 407
Appendix 10A: Plotting Vector Fields
11 ~~ Numerical and Monte Carlo Methods
11.1 Numerical Integration Methods in One Dimension
11.2 Simple Monte Carlo Evaluation of Integrals
11.3 Multidimensional Integrals
11.4 Monte Carlo Error Analysis
11.5 Nonuniform Probability Distributions
11.6 Importance Sampling
11.7 Metropolis Algorithm
* 11.8 Neutron Transport
Appendix 11A: Error Estimates for Numerical Integration
Appendix 11B: The Standard Deviation of the Mean
Appendix 11C: The Acceptance-Rejection Method
Appendix llD: Polynomials and Interpolation
12 ~~ Percolation
12.1 Introduction
12.2 The Percolation Threshold
12.3 Finding Clusters
12.4 Critical Exponents and Finite Size Scaling
12.5 The Renormalization Group
12.6 Projects
13 ~~ Fractals and Kinetic Growth Models
13.1 The Fractal Dimension
13.2 Regular Fractals
13.3 Kinetic Growth Processes
13.4 Fractals and Chaos
13.5 Many Dimensions
13.6 Projects
14 ~~ Complex Systems
14.1 Cellular Automata
14.2 Self-Organized Critical Phenomena
14.3 The Hopfield Model and Neural Networks
14.4 Growing Networks
14.5 Genetic Algorithms
14.6 Lattice Gas Models of Fluid Flow
14.7 Overview and Projects
15 ~~ Monte Carlo Simulations of Thermal Systems
15.1 Introduction
15.2 The Microcanonical Ensemble
15.3 The Demon Algorithm
15.4 The Demon as a Thermometer
15.5 The Ising Model
15.6 The Metropolis Algorithm
15.7 Simulation of the Ising Model
15.8 The Ising Phase Transition
15.9 Other Applications of the Ising Model
15.10 Simulation of Classical Fluids
15.11 Optimized Monte Carlo Data Analysis
* 15.12 Other Ensembles
15.13 More Applications
15.14 Projects
Appendix 15A: Relation of the Mean Demon Energy to the Temperature
Appendix 15B: Fluctuations in the Canonical Ensemble
Appendix 15C: Exact Enumeration of the 2 x 2 Ising Model
16 ~~ Quantum Systems
16.1 Introduction
16.2 Review of Quantum Theory
16.3 Bound State Solutions
16.4 Time Development of Eigenstate Superpositions
16.5 The Time-Dependent Schrrdinger Equation
16.6 Fourier Transformations and Momentum Space
16.7 Variational Methods
16.8 Random Walk Solutions of the Schrrdinger Equation
16.9 Diffusion Quantum Monte Carlo
16.10 Path Integral Quantum Monte Carlo
16.11 Projects
Appendix 16A: Visualizing Complex Functions
17 ~~ Visualization and Rigid Body Dynamics
17.1 Two-Dimensional Transformations
17.2 Three-Dimensional Transformations
17.3 The Three-Dimensional Open Source Physics Library
17.4 Dynamics of a Rigid Body
17.5 Quaternion Arithmetic
17.6 Quaternion Equations of Motion
17.7 Rigid Body Model
17.8 Motion of a Spinning Top
17.9 Projects
Appendix 17A: Matrix Transformations
Appendix 17B: Conversions
18 ~~ Seeing in Special and General Relativity
t8.1 Special Relativity
18.2 General Relativity
18.3 Dynamics in Polar Coordinates
18.4 Black Holes and Schwarzschild Coordinates
18.5 Particle and Light Trajectories
18.6 Seeing
18.7 General Relativistic Dynamics
* 18.8 The Kerr Metric
18.9 Projects
19 ~~ Epilogue: The Unity of Physics
19.1 The Unity of Physics
19.2 Spiral Galaxies
19.3 Numbers, Pretty Pictures, and Insight
19.4 Constrained Dynamics
19.5 What are Computers Doing to Physics?
Index~
目 录内容简介
《计算机模拟方法在物理学中的应用》（第3版影印版）是在美国大学使用很广泛的一本经典的，讲解如何使用计算机进行物理学数字模拟的教材，该书为刚刚出版的第三版。该书不是简单的物理学研究中的数学方法的介绍，而更注重在使用计算机模拟物理学问题中帮助学生更深刻的理解物理学，帮助学生在学习中了解和掌握使用计算机做物理学研究的一些基本手段，并学会如何根据具体的物理问题选择相应的研究方法。此外，还通过对具体的例子的讲解也为学习物理学的学生介绍了物理学广阔的应用天地。
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