Numerical Treatment and Analysis of Time-Fractional Evolution Equations

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Geliefert zwischen Mi., 26.11.2025 und Do., 27.11.2025

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This book discusses numerical methods for solving time-fractional evolution equations. The approach is based on first discretizing in the spatial variables by the Galerkin finite element method, using piecewise linear trial functions, and then applying suitable time stepping schemes, of the type either convolution quadrature or finite difference. The main concern is on stability and error analysis of approximate solutions, efficient implementation and qualitative properties, under various regularity assumptions on the problem data, using tools from semigroup theory and Laplace transform. The book provides a comprehensive survey on the present ideas and methods of analysis, and it covers most important topics in this active area of research. It is recommended for graduate students and researchers in applied and computational mathematics, particularly numerical analysis.


Provides insight in the mathematics of numerical methods for solving time-fractional evolution equations Presents ideas and methods of analysis, and covers most important topics in this active area of research For graduate students and researchers in applied and computational mathematics, numerical analysis.

Inhalt
Existence, Uniqueness, and Regularity of Solutions.- Semidiscrete Discretization.- Convolution Quadrature.- Finite Difference Methods: Construction and Implementation.- Finite Difference Methods on Uniform Meshes.- Finite Difference Methods on Graded Meshes.- Nonnegativity Preservation.- Discrete Fractional Maximal Regularity.- Subdiffusion with time-dependent coefficients.- Semilinear Subdiffusion Equations.- Time-Space Formulation and Finite Element Approximation.- A Spectral Petrov-Galerkin Method.- Incomplete Iterative Solution at the Time Levels.- Optimal Control with Subdiffusion Constraint.- Backward Subdiffusion Problems.- Appendix: Mathematical Preliminaries.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783031210495
    • Lesemotiv Verstehen
    • Genre Maths
    • Auflage 2023
    • Anzahl Seiten 444
    • Herausgeber Springer International Publishing
    • Größe H241mm x B160mm x T30mm
    • Jahr 2023
    • EAN 9783031210495
    • Format Fester Einband
    • ISBN 3031210492
    • Veröffentlichung 28.02.2023
    • Titel Numerical Treatment and Analysis of Time-Fractional Evolution Equations
    • Autor Zhi Zhou , Bangti Jin
    • Untertitel Applied Mathematical Sciences 214
    • Gewicht 828g
    • Sprache Englisch

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