注册 | 登录读书好,好读书,读好书!
读书网-DuShu.com
当前位置: 首页出版图书科学技术自然科学数学有限元超收敛分析及后验误差估计

有限元超收敛分析及后验误差估计

有限元超收敛分析及后验误差估计

定 价:¥58.00

作 者: Ningning Yan
出版社: 科学出版社
丛编项:
标 签: 计算数学

购买这本书可以去


ISBN: 9787030212993 出版时间: 2008-03-01 包装: 平装
开本: 16 页数: 229 pages 字数:  

内容简介

  Since the 1970s,Science press has published more than thirty volumes in its series Monographs in Computational Methods. This series was established and led by the late academician,Feng Kang,the founding director for Computing Center of the Chinese Academy of Sciences.The monograph series has provided timely information of the frontier directions and latest research results in computational mathematics.It has had great impact on young scientists and the entire research community,and has played a very important role in the development of computational mathematics in China.

作者简介

暂缺《有限元超收敛分析及后验误差估计》作者简介

图书目录

Chapter 1 Basic framework
 1.1 Preliminaries
 1.2 Model problem
 1.3 Integral identity
 1.4 Global superconvergence analysis
 1.5 Brief summary and notes
Chapter 2 Integral identities
 2.1 Bilinear rectangular element
 2.2 General results for bilinear element
 2.3 Rectangular Lagrange elements of order p
 2.4 Rectangular finite elements with derivative degrees of freedom
 2.5 Rectangular mixed finite elements
 2.6 Summary of integral identities
Chapter 3 Superconvergenee Analysis
 3.1 Elliptic partial differential equations
 3.2 Nonconforming finite elements
 3.3 Evolution partial differential equationss
 3.4 Hyperbolic equation of order one
 3.5 Mixed finite elements
 3.6 Integral equations
Chapter 4 More discussions on high accuracy analysis
 4.1 Global superconvergence
 4.2 Extrapolation
 4.3 Defect correction
 4.4 Local superconvergence
 4.5 Ultraconvergence
 4.6 Eigenvalue problems
 4.7 Numerical examples
Chapter 5 A posteriori error estimates
 5.1 Introduction
 5.2 Residual type a posteriori error estimate
 5.3 Recovery type a posteriori error estimate
 5.4 Equivalence of recovery type estimator
 5.5 Asymptotically exactness of recovery type estimator
 5.6 Some remarks on two kinds of estimators
 5.7 A posteriori error estimate for optimal control problems
 5.8 Numerical examples
Bibliography

本目录推荐