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Monotone discretizations for elliptic second order partial differential equations
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Monotone discretizations for elliptic second order partial differential equations/ by Gabriel R. Barrenechea, Volker John, Petr Knobloch.
作者:
Barrenechea, Gabriel R.
其他作者:
Knobloch, Petr.
出版者:
Cham :Springer Nature Switzerland : : 2025.,
面頁冊數:
xii, 649 p. :ill. (chiefly color), digital ; : 24 cm.;
Contained By:
Springer Nature eBook
標題:
Computational Mathematics and Numerical Analysis. -
電子資源:
https://doi.org/10.1007/978-3-031-80684-1
ISBN:
9783031806841
Monotone discretizations for elliptic second order partial differential equations
Barrenechea, Gabriel R.
Monotone discretizations for elliptic second order partial differential equations
[electronic resource] /by Gabriel R. Barrenechea, Volker John, Petr Knobloch. - Cham :Springer Nature Switzerland :2025. - xii, 649 p. :ill. (chiefly color), digital ;24 cm. - Springer series in computational mathematics,v. 612198-3712 ;. - Springer series in computational mathematics ;42..
- Introduction. - Convection-Di usion-Reaction Problems and Maximum Principles -- Discrete Maximum Principles -- Partitions of the Domain -- Finite Element Methods -- Finite Element Methods for Diffusion Problems -- Finite Element Methods for Reaction-Diffusion Problems -- Linear Finite Element Methods for Convection-Diffusion-Reaction Problems -- Nonlinear Finite Element Methods for Convection-Diffusion-Reaction Problems: Discretizations Based on Modi ed Variational Forms -- Nonlinear Finite Element Methods for Convection-Diffusion-Reaction Problems: Algebraically Stabilized Methods -- Finite Difference Methods -- Finite Volume Methods -- A Numerical Study for a Problem with Different Regimes -- Outlook.
This book offers a comprehensive presentation of numerical methods for elliptic boundary value problems that satisfy discrete maximum principles (DMPs). The satisfaction of DMPs ensures that numerical solutions possess physically admissible values, which is of utmost importance in numerous applications. A general framework for the proofs of monotonicity and discrete maximum principles is developed for both linear and nonlinear discretizations. Starting with the Poisson problem, the focus is on convection-diffusion-reaction problems with dominant convection, a situation which leads to a numerical problem with multi-scale character. The emphasis of this book is on finite element methods, where classical (usually linear) and modern nonlinear discretizations are presented in a unified way. In addition, popular finite difference and finite volume methods are discussed. Besides DMPs, other important properties of the methods, like convergence, are studied. Proofs are presented step by step, allowing readers to understand the analytic techniques more easily. Numerical examples illustrate the behavior of the methods.
ISBN: 9783031806841
Standard No.: 10.1007/978-3-031-80684-1doiSubjects--Topical Terms:
669338
Computational Mathematics and Numerical Analysis.
LC Class. No.: QA377
Dewey Class. No.: 515.353
Monotone discretizations for elliptic second order partial differential equations
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This book offers a comprehensive presentation of numerical methods for elliptic boundary value problems that satisfy discrete maximum principles (DMPs). The satisfaction of DMPs ensures that numerical solutions possess physically admissible values, which is of utmost importance in numerous applications. A general framework for the proofs of monotonicity and discrete maximum principles is developed for both linear and nonlinear discretizations. Starting with the Poisson problem, the focus is on convection-diffusion-reaction problems with dominant convection, a situation which leads to a numerical problem with multi-scale character. The emphasis of this book is on finite element methods, where classical (usually linear) and modern nonlinear discretizations are presented in a unified way. In addition, popular finite difference and finite volume methods are discussed. Besides DMPs, other important properties of the methods, like convergence, are studied. Proofs are presented step by step, allowing readers to understand the analytic techniques more easily. Numerical examples illustrate the behavior of the methods.
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