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    Fractional Differential Equations: Modeling, Discretization, and Numerical Solvers

    Fractional Differential Equations by Cardone, Angelamaria; Donatelli, Marco; Durastante, Fabio;

    Modeling, Discretization, and Numerical Solvers

    Series: Springer INdAM Series; 50;

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      • Publisher's listprice EUR 171.19
      • The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.

        72 618 Ft (69 160 Ft + 5% VAT)
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    72 618 Ft

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    Product details:

    • Edition number 2023
    • Publisher Springer
    • Date of Publication 17 June 2023
    • Number of Volumes 1 pieces, Book

    • ISBN 9789811977152
    • Binding Hardback
    • No. of pages146 pages
    • Size 235x155 mm
    • Weight 412 g
    • Language English
    • Illustrations 40 Illustrations, black & white; 19 Illustrations, color
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    Short description:

    The content of the book collects some contributions related to the talks presented during the INdAM Workshop "Fractional Differential Equations: Modelling, Discretization, and Numerical Solvers", held in Rome, Italy, on July 12?14, 2021. All contributions are original and not published elsewhere.



    The main topic of the book is fractional calculus, a topic that addresses the study and application of integrals and derivatives of noninteger order. These operators, unlike the classic operators of integer order, are nonlocal operators and are better suited to describe phenomena with memory (with respect to time and/or space). Although the basic ideas of fractional calculus go back over three centuries, only in recent decades there has been a rapid increase in interest in this field of research due not only to the increasing use of fractional calculus in applications in biology, physics, engineering, probability, etc., but also thanks to the availability of new and more powerful numerical tools that allow for an efficient solution of problems that until a few years ago appeared unsolvable. The analytical solution of fractional differential equations (FDEs) appears even more difficult than in the integer case. Hence, numerical analysis plays a decisive role since practically every type of application of fractional calculus requires adequate numerical tools.



    The aim of this book is therefore to collect and spread ideas mainly coming from the two communities of numerical analysts operating in this field - the one working on methods for the solution of differential problems and the one working on the numerical linear algebra side - to share knowledge and create synergies. At the same time, the book intends to realize a direct bridge between researchers working on applications and numerical analysts. Indeed, the book collects papers on applications, numerical methods for differential problems of fractional order, and related aspects in numerical linear algebra.



    The target audience of the book is scholars interested in recent advancements in fractional calculus.

    More

    Long description:

    The content of the book collects some contributions related to the talks presented during the INdAM Workshop "Fractional Differential Equations: Modelling, Discretization, and Numerical Solvers", held in Rome, Italy, on July 12?14, 2021. All contributions are original and not published elsewhere.



    The main topic of the book is fractional calculus, a topic that addresses the study and application of integrals and derivatives of noninteger order. These operators, unlike the classic operators of integer order, are nonlocal operators and are better suited to describe phenomena with memory (with respect to time and/or space). Although the basic ideas of fractional calculus go back over three centuries, only in recent decades there has been a rapid increase in interest in this field of research due not only to the increasing use of fractional calculus in applications in biology, physics, engineering, probability, etc., but also thanks to the availability of new and more powerful numerical tools that allow for an efficient solution of problems that until a few years ago appeared unsolvable. The analytical solution of fractional differential equations (FDEs) appears even more difficult than in the integer case. Hence, numerical analysis plays a decisive role since practically every type of application of fractional calculus requires adequate numerical tools.



    The aim of this book is therefore to collect and spread ideas mainly coming from the two communities of numerical analysts operating in this field - the one working on methods for the solution of differential problems and the one working on the numerical linear algebra side - to share knowledge and create synergies. At the same time, the book intends to realize a direct bridge between researchers working on applications and numerical analysts. Indeed, the book collects papers on applications, numerical methods for differential problems of fractional order, and related aspects in numerical linear algebra.

    The target audience of the book is scholars interested in recent advancements in fractional calculus.




    More

    Table of Contents:

    Chapter 1. A New Diffusive Representation for Fractional Derivatives, Part I: Construction, Implementation and Numerical Examples.- Chapter 2. Exact solutions for the fractional nonlinear Boussinesq equation.- Chapter 3. A numerical procedure for fractional-time-space differential equations with the spectral fractional Laplacian.- Chapter 4. Spectral Analysis of Matrices in B-Spline Galerkin Methods for Riesz Fractional Equations.- Chapter 5.Do the Mittag?Leffler functions preserve the properties of their matrix arguments?.- Chapter 6. On the solutions of the fractional generalized Gierer-Meinhardt Model.- Chapter 7. A convolution-based method for an integro-differential equation in mechanics.- Chapter 8. A MATLAB code for fractional differential equations based on two-step spline collocation methods.

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