书籍详情
计算物理学导论
作者:T.Pang
出版社:世界图书出版公司北京公司
出版时间:2001-04-01
ISBN:9787506249614
定价:¥64.00
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内容简介
这是一本非常新的计算物理学教程.它介绍了计算物理学的基本方法和最新进展,论述了许多计算物理学的现代新课题。书中包括一些与现代物理学有关的实用数值方法的例题,每章末有练习题。本书主要包括:绪论;基础数值法;常微分方程;矩阵数值法;光谱分析法和高斯求积;偏微分方程;分子动力学模拟;模拟连续系统;蒙特卡罗模拟;数值重正化;符号计算;高性能计算。读者对象:计算物理学及相关学科的大学生、研究生和科研人员。
作者简介
暂缺《计算物理学导论》作者简介
目录
Preface
disclaimer of Warranties
Acknowledgment
1 Introduction
1.1 Computations and science
1.2 The emergence of modern computers
1.3 Computer algorithms and languages
2 Basic numerical methods
2.1 Interpolations and approximations
2.2 differentiation and integration
2.3 Zeros and extremes of a single-variable function
2.4 Classical scattering
2.5 Random number generators
3 Ordinary differential equations
3.1 initial-value problems
3.2 The Euler and Picard methods
3.3 Predictor-corrector methods
3.4 The Runge-kutta method
3.5 Chaotic dynamics of a driven pendulum
3.6 Boundary-value and eignevalue problems
3.7 The shooting method
3.8 Linear equations and the Sturm-Lioville problem
3.9 The on-dimensional Schordinger equation
4 Numerical methodes for matrices
……
5 Spectral analysis and Gaussian quadrature
6 Partial differential equations
7 Molecular dynamics simulations
8 Modeling continuous systems
9 Monte Carlo simulations
10 Numerical renormalization
11 Symbolic computing
12 High-performance computing
References
Index
disclaimer of Warranties
Acknowledgment
1 Introduction
1.1 Computations and science
1.2 The emergence of modern computers
1.3 Computer algorithms and languages
2 Basic numerical methods
2.1 Interpolations and approximations
2.2 differentiation and integration
2.3 Zeros and extremes of a single-variable function
2.4 Classical scattering
2.5 Random number generators
3 Ordinary differential equations
3.1 initial-value problems
3.2 The Euler and Picard methods
3.3 Predictor-corrector methods
3.4 The Runge-kutta method
3.5 Chaotic dynamics of a driven pendulum
3.6 Boundary-value and eignevalue problems
3.7 The shooting method
3.8 Linear equations and the Sturm-Lioville problem
3.9 The on-dimensional Schordinger equation
4 Numerical methodes for matrices
……
5 Spectral analysis and Gaussian quadrature
6 Partial differential equations
7 Molecular dynamics simulations
8 Modeling continuous systems
9 Monte Carlo simulations
10 Numerical renormalization
11 Symbolic computing
12 High-performance computing
References
Index
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