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  • 偏微分方程数值解的有效条件数 李子才,黄宏财,魏益民,程宏达 著 著 文教 文轩网
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    • 作者: 李子才,黄宏财,魏益民,程宏达 著著
    • 出版社: 科学出版社
    • 出版时间:2016-01-01 00:00:00
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    • 作者: 李子才,黄宏财,魏益民,程宏达 著著
    • 出版社:科学出版社
    • 出版时间:2016-01-01 00:00:00
    • 版次:2
    • 印刷时间:2015-12-01
    • 页数:351
    • 开本:其他
    • 装帧:平装
    • ISBN:9787030464101
    • 国别/地区:中国
    • 版权提供:科学出版社

    偏微分方程数值解的有效条件数

    作  者:李子才,黄宏财,魏益民,程宏达 著 著
    定  价:138
    出 版 社:科学出版社
    出版日期:2016年01月01日
    页  数:351
    装  帧:精装
    ISBN:9787030464101
    主编推荐

    内容简介

    本书主要介绍偏微分方程数值解的有效条件数。首先介绍有效条件数的概念,与经典条件数概念的差异,接着将有效条件数运用于TREFFTZ方法;我们还讨论了有限差分和有限元方法的有效条件数,最后研究了截断奇异值分解和TIKHONOV正则化的有效条件数。第二版拟增加三章:Laplace方程混合边界值问题基本解的稳定性分析;奇摄动微分方程迎风差分格式的稳定性分析;广义Sylvester方程的有效条件数。

    作者简介

    精彩内容

    目录
    Preface to the Second Edition
    Preface
    Acknowledgements
    Chapter 1 Effective Condition Number
    1.1 Introduction
    1.2 Preliminary
    1.3 Symmetric Matrices
    1.3.1 Definitions of effective condition numbers
    1.3.2 A posteriori computation
    1.4 Overdetermined Systems
    1.4.1 Basic algorithms
    1.4.2 Refinements of (1.4.10)
    1.4.3 Criteria
    1.4.4 Advanced refinements
    1.4.5 Effective condition number in p—norms
    1.5 Linear Algebraic Equations by GE or QR
    1.6 Application to Numerical PDE
    1.7 Application to Boundary Integral Equations
    1.8 Weighted Linear Least Squares Problems
    1.8.1 Effective condition number
    1.8.2 Perturbation bounds
    1.8.3 Applications and comparisons
    Chapter 2 Collocation Trefftz Methods
    2.1 Introduction
    2.2 CTM for Motz's Problem
    2.3 Bounds of Effective Condition Number
    2.4 Stability for CTM of Rp=1
    2.5 Numerical Experiments
    2.5.1 Choice of Rp
    2.5.2 Extreme accuracy of Do
    2.6 The GCTM Using Piecewise Particular Solutions
    2.7 Stability Analysis of the GCTM
    2.7.1 Trefftz methods
    2.7.2 Collocation Trefftz methods
    2.8 Method of Fundamental Solutions
    2.9 Collocation Methods Using RBF
    2.10 Comparisons Between Cond_eff and Cond
    2.10.1 The CTM using particular solutions for Motz's problem
    2.10.2 The MFS and the CM—RBF
    2.11 A Few Remarks
    Chapter 3 Simplified Hybrid Trefftz Methods
    3.1 The Simplified Hybrid TM
    3.1.1 Algorithms
    3.1.2 Error analysis
    3.1.3 Integration approximation
    3.2 Stability Analysis for Simplified Hybrid TM
    Chapter 4 Penalty Trefftz Method Coupled with FEM
    4.1 Introduction
    4.2 Combinations of TM and Adini's Elements
    4.2.1 Algorithms
    4.2.2 Basic theorem
    4.2.3 Global superconvergence
    4.3 Bounds of Cond_eff for Motz's Problem
    4.4 Effective Condition Number of One and Infinity Norms
    4.5 Concluding Remarks
    Chapter 5 Trefftz Methods for Biharmonic Equations with Crack Singularities
    5.1 Introduction
    5.2 Collocation Trefftz Methods
    5.2.1 Three crack models
    5.2.2 Description of the method
    5.2.3 Error bounds
    5.3 Stability Analysis
    5.3.1 Upper bound for σmax(F)
    5.3.2 Lower bound for σmin (F)
    5.3.3 Upper bound for Cond_eff and Cond
    5.4 Proofs of Important Results Used in Section 5.3
    5.4.1 Basic theorem
    5.4.2 Proof of Lemma 5.4.3
    5.4.3 Proof of Lemma 5.4.4
    5.5 Numerical Experiments
    5.6 Concluding Remarks
    Chapter 6 The Method of Fundamental Solutions for Mixed Boundary Value Problems of Laplace's Equation
    6.1 Introduction
    6.2 Method of Fundamental Solutions
    6.3 Dirichlet Problems on Disk Domains
    6.3.1 Eigenvalues of the MFS
    6.3.2 New approaches
    6.3.3 Eigenvalues in terms of power series
    6.3.4 Asymptotes of Cond
    6.4 Neumann Problems in Disk Domains
    6.4.1 Description of algorithms
    6.4.2 Condition numbers of the MFS
    6.5 Mixed Boundary Problems in Bounded Simply—Connected Domains
    6.5.1 Trefftz methods
    6.5.2 The collocation Trefftz methods
    6.5.3 Bounds of condition numbers and effective condition numbers
    6.5.4 Developments and evaluations on the MFS
    6.5.5 The inverse inequality (6.5.9)
    6.6 Numerical Experiments
    Chapter 7 Finite Difference Method
    7.1 Introduction
    7.2 Shortley—Weller Difference Approximation
    7.2.1 A Lemma
    7.2.2 Bounds for Cond_EE
    7.2.3 Bounds for Cond_eff
    Chapter 8 Boundary Penalty Techniques of FDM
    8.1 Introduction
    8.2 Finite Difference Method
    8.2.1 Shortley—Weller difference approximation
    8.2.2 Superconvergence of solution derivatives
    8.2.3 Bounds for Cond_eff
    8.3 Penalty—Integral Techniques
    8.4 Penalty—Collocation Techniques
    8.5 Relations Between Penalty—Integral and Penalty— Collocation Techniques
    8.6 Concluding Remarks
    Chapter 9 Boundary Singularly Problems by FDM
    9.1 Introduction
    9.2 Finite Difference Method
    9.3 Local Refinements of Difference Grids
    9.3.1 Basic results
    9.3.2 Nonhomogeneous Dirichlet and Neumann boundary conditions
    9.3.3 A remark
    9.3.4 A view on assumptions A1—A4
    9.3.5 Discussions and comparisons
    9.4 Numerical Experiments
    9.5 Concluding Remarks
    Chapter 10 Singularly Perturbed Differential Equations by the Upwind Difference Scheme
    10.1 Introduction
    10.2 The Upwind Difference Scheme
    10.3 Properties of the Operator of SPDE and its Discretization
    10.4 Stability Analysis
    10.4.1 The traditional condition number
    10.4.2 Effective condition number
    10.4.3 Via the maximum principle
    10.5 Numerical Experiments and Concluding Remarks
    Chapter 11 Finite Element Method Using Local Mesh Refinements
    11.1 Introduction
    11.2 Optimal Convergence Rates
    11.3 Homogeneous Boundary Conditions
    11.4 Nonhomogeneous Boundary Conditions
    11.5 Intrinsic View of Assumption A2 and Improvements of Theorem 11.4.1
    11.5.1 Intrinsic view of assumption A2
    11.5.2 Improvements of Theorem 11.4.1
    11.6 Numerical Experiments
    Chapter 12 Hermite FEM for Biharmonic Equations
    12.1 Introduction
    12.2 Description of Numerical Methods
    12.3 Stability Analysis
    12.3.1 Bounds of Cond
    12.3.2 Bounds of Cond_eff
    12.4 Numerical Experiments
    ……
    Chapter 13 Truncated SVD and Tikhonov Regularization
    Chapter 14 Small Sample Statistical Condition Estimation for the Generalized Sylvester Equation
    Appendix A Definitions and Formulas
    Epilogue
    Bibliography
    Index

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