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Inverse problems for fractional partial differential equations / Barbara Kaltenbacher, William Rundell.

By: Contributor(s): Material type: TextTextLanguage: English Series: Graduate studies in mathematics ; volume 230Publication details: American Mathematical Society, 2020.Description: pages cmISBN:
  • 9781470472450
  • 9781470472771
Subject(s): DDC classification:
  • 515.353 23/eng20230111 KAL
Other classification:
  • 35R30 | 35R11 | 65M32 | 26A33 | 35K57 | 35Qxx | 35R25 | 47F05 | 65J20
Contents:
Chapters Preamble Genesis of fractional models Special functions and tools Fractional calculus Fractional ordinary differential equations Mathematical theory of subdiffusion Analysis of fractionally damped wave equations Methods for solving inverse problems Fundamental inverse problems for fractional order models Inverse problems for fractional diffusion Inverse problems for fractionally damped wave equations Outlook beyond Abel Mathematical preliminaries
Summary: Volume: 230; 2023; 505 pp MSC: Primary 35; 65; Secondary 26; 47; 60; As the title of the book indicates, this is primarily a book on partial differential equations (PDEs) with two definite slants: toward inverse problems and to the inclusion of fractional derivatives. The standard paradigm, or direct problem, is to take a PDE, including all coefficients and initial/boundary conditions, and to determine the solution. The inverse problem reverses this approach asking what information about coefficients of the model can be obtained from partial information on the solution. Answering this question requires knowledge of the underlying physical model, including the exact dependence on material parameters. The last feature of the approach taken by the authors is the inclusion of fractional derivatives. This is driven by direct physical applications: a fractional derivative model often allows greater adherence to physical observations than the traditional integer order case. The book also has an extensive historical section and the material that can be called "fractional calculus" and ordinary differential equations with fractional derivatives. This part is accessible to advanced undergraduates with basic knowledge on real and complex analysis. At the other end of the spectrum, lie nonlinear fractional PDEs that require a standard graduate level course on PDEs.
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Item type Current library Collection Call number Status Date due Barcode
Project book Project book CUTN Central Library Sciences Non-fiction 515.353 KAL (Browse shelf(Opens below)) Checked out to Renuka Devi V (20019T) 31/01/2024 48913

Includes bibliographical references and index.

Chapters
Preamble
Genesis of fractional models
Special functions and tools
Fractional calculus
Fractional ordinary differential equations
Mathematical theory of subdiffusion
Analysis of fractionally damped wave equations
Methods for solving inverse problems
Fundamental inverse problems for fractional order models
Inverse problems for fractional diffusion
Inverse problems for fractionally damped wave equations
Outlook beyond Abel
Mathematical preliminaries

Volume: 230; 2023; 505 pp
MSC: Primary 35; 65; Secondary 26; 47; 60;
As the title of the book indicates, this is primarily a book on partial differential equations (PDEs) with two definite slants: toward inverse problems and to the inclusion of fractional derivatives. The standard paradigm, or direct problem, is to take a PDE, including all coefficients and initial/boundary conditions, and to determine the solution. The inverse problem reverses this approach asking what information about coefficients of the model can be obtained from partial information on the solution. Answering this question requires knowledge of the underlying physical model, including the exact dependence on material parameters.

The last feature of the approach taken by the authors is the inclusion of fractional derivatives. This is driven by direct physical applications: a fractional derivative model often allows greater adherence to physical observations than the traditional integer order case.

The book also has an extensive historical section and the material that can be called "fractional calculus" and ordinary differential equations with fractional derivatives. This part is accessible to advanced undergraduates with basic knowledge on real and complex analysis. At the other end of the spectrum, lie nonlinear fractional PDEs that require a standard graduate level course on PDEs.

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