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  • 有限元超收敛分析及后验误差估计 - 书籍详细信息
  • 查看同类图书: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

  • 【作 者】:Ningning Yan
  • 【丛编项】:
  • 【装帧项】:平装 16 / 229 pages
  • 【出版项】:科学出版社 / 1版(英文版)
  • 【ISBN号】:9787030212993 / 7030212991
  • 【原书定价】:¥58.00 有2家书店打折销售 
  • 【主题词】:自然科学-数学-计算数学
  • 【图书简介】
      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.
  • 【本书目录】
    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
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