霍姆斯编著的《微分方程数值方法引论（影印版）》是“国外数学名著系列”之一，内容包括：初值问题、两点边界值问题、扩散问题、平流方程、椭圆型问题等。可供高等院校数学系研究生、数学科研人员等学习参考。

Preface

1 Initial Value Problems

 1.1 Introduction

1.1.1 Examples of IVPs

 1.2 Methods Obtained from Numerical Differentiation .

1.2.1 The Five Steps

1.2.2 Additional Difference Methods

 1.3 Methods Obtained from Numerical Quadrature

 1.4 Runge--Kutta Methods

 1.5 Extensions and Ghost Points

 1.6 Conservative Methods

1.6.1 Velocity Verlet

1.6.2 Symplectic Methods

 1.7 Next Steps

 Exercises

2 Two-Point Boundary Value Problems

 2.1 Introduction

2.1.1 Birds on a Wire

2.1.2 Chemical Kinetics

 2.2 Derivative Approximation Methods

2.2.1 Matrix Problem

2.2.2 Tridiagonal Matrices

2.2.3 Matrix Problem Revisited

2.2.4 Error Analysis

2.2.5 Extensions

 2.3 Residual Methods

2.3.1 Basis Functions

2.3.2 Residual

 2.4 Shooting Methods

 2.5 Next Steps

 Exercises

3 Diffusion Problems

 3.1 Introduction

3.1.1 Heat Equation

 3.2 Derivative Approximation Methods

3.2.1 Implicit Method

3.2.2 Theta Method

 3.3 Methods Obtained from Numerical Quadrature

3.3.1 Crank-Nicolson Method

3.3.2 L-Stability

 3.4 Methods of Lines

 3.5 Collocation

 3.6 Next Steps

 Exercises

4 Advection Equation

 4.1 Introduction

4.1.1 Method of Characteristics

4.1.2 Solution Properties

4.1.3 Boundary Conditions

 4.2 First-Order Methods

4.2.1 Upwind Scheme

4.2.2 Downwind Scheme

4.2.3 blumericul Domu'm of Dependence

4.2.4 Stability

 4.3 Improvements

4.3.1 Lax-Wendroff Method

4.3.2 Monotone Methods

4.3.3 Upwind Revisited

 4.4 Implicit Methods

 Exercises

5 Numerical Wave Propagation

 5.1 Introduction

5.1.1 Solution Methods

5.1.2 Plane Wave Solutions

 5.2 Explicit Method

5.2.1 Diagnostics

5.2.2 Numerical Experiments

 5.3 Numerical Plane Waves

5.3.1 Numerical Group Velocity

 5.4 Next Steps

 Exercises

6 Elliptic Problems

 6.1 Introduction

6.1.1 Solutions

6.1.2 Properties of the Solution

 6.2 Finite Difference Approximation

6.2.1 Building the Matrix

6.2.2 Positive Definite Matrices

 6.3 Descent Methods

6.3.1 Steepest Descent Method

6.3.2 Conjugate Gradient Method

 6.4 Numerical Solution of Laplace's Equation

 6.5 Preconditioned Conjugate Gradient Method

 6.6 Next Steps

 Exercises

A Appendix

 A.1 Order Symbols

 A.2 Taylor's Theorem

 A.3 Round-Off Error

A.3.1 Fhnction Evaluation

A.3.2 Numerical Differentiation

 A.4 Floating-Point Numbers

References

Index