ISBN: 9781611974454 - inverse scattering theory and transmission eigenvalues (13 risultati)

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  • Lingua: Inglese

    Editore: MP-SIA SIAM - Society for Industrial and Applied M, 2016

    1611974453 / 9781611974454

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    PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

  • Lingua: Inglese

    Editore: SIAM-Society for Industrial and Applied Mathematics, 2016

    1611974453 / 9781611974454

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  • Lingua: Inglese

    Editore: Society for Industrial and Applied Mathematics,U.S., US, 2016

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    Paperback. Condizione: New. Inverse scattering theory is a major theme of applied mathematics, and it has applications to such diverse areas as medical imaging, geophysical exploration, and nondestructive testing. The inverse scattering problem is both nonlinear and ill-posed, thus presenting particular problems in the development of efficient inversion algorithms. Although linearized models continue to play an important role in many applications, an increased need to focus on problems in which multiple scattering effects cannot be ignored has led to a central role for nonlinearity, and the possibility of collecting large amounts of data over limited regions of space means that the ill-posed nature of the inverse scattering problem has become a problem of central importance.Initial efforts to address the nonlinear and the ill-posed nature of the inverse scattering problem focused on nonlinear optimization methods. While efficient in many situations, strong a priori information is necessary for their implementation. This problem led to a qualitative approach to inverse scattering theory in which the amount of a priori information is drastically reduced, although at the expense of only obtaining limited information about the values of the constitutive parameters. This qualitative approach (the linear sampling method, the factorization method, the theory of transmission eigenvalues, etc.) is the theme of this book.The authors:Begin with a basic introduction to the theory, then proceed to more recent developments, including a detailed discussion of the transmission eigenvalue problem.Present the new generalized linear sampling method in addition to the well-known linear sampling and factorization methods.In order to achieve clarification of presentation, focus on the inverse scattering problem for scalar homogeneous media.…

  • Lingua: Inglese

    Editore: SIAM-Society for Industrial and Applied Mathematics, 2016

    1611974453 / 9781611974454

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  • Lingua: Inglese

    Editore: Cambridge Univ Pr, 2017

    1611974453 / 9781611974454

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    Paperback. Condizione: Brand New. 203 pages. 9.72x6.85x0.47 inches. In Stock.

  • Lingua: Inglese

    Editore: Society for Industrial & Applied Mathematics,U.S., 2016

    1611974453 / 9781611974454

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    Condizione: New. 2016. Paperback. . . . . .

  • Lingua: Inglese

    Editore: SIAM-Society for Industrial and Applied Mathematics, 2016

    1611974453 / 9781611974454

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  • Lingua: Inglese

    Editore: SIAM-Society for Industrial and Applied Mathematics, 2016

    1611974453 / 9781611974454

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  • Lingua: Inglese

    Editore: Society for Industrial & Applied Mathematics,U.S., 2016

    1611974453 / 9781611974454

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  • Lingua: Inglese

    Editore: Society for Industrial & Applied Mathematics,U.S., 2016

    1611974453 / 9781611974454

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  • Lingua: Inglese

    Editore: CAMBRIDGE UNIVERSITY PRESS, 2016

    1611974453 / 9781611974454

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    Kartoniert / Broschiert. Condizione: New. KlappentextrnrnBegins with a basic introduction to the theory, thens proceed to more recent developments, including a detailed discussion of the transmission eigenvalue problem. The book presents the generalized linear sampling method in additio.

  • Lingua: Inglese

    Editore: CAMBRIDGE UNIVERSITY PRESS Okt 2016, 2016

    1611974453 / 9781611974454

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    Taschenbuch. Condizione: Neu. Neuware - Begins with a basic introduction to the theory, thens proceed to more recent developments, including a detailed discussion of the transmission eigenvalue problem. The book presents the generalized linear sampling method in addition to the well-known linear sampling and factorization methods.…

  • Lingua: Inglese

    Editore: Society for Industrial and Applied Mathematics,U.S., US, 2016

    1611974453 / 9781611974454

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    Paperback. Condizione: New. Inverse scattering theory is a major theme of applied mathematics, and it has applications to such diverse areas as medical imaging, geophysical exploration, and nondestructive testing. The inverse scattering problem is both nonlinear and ill-posed, thus presenting particular problems in the development of efficient inversion algorithms. Although linearized models continue to play an important role in many applications, an increased need to focus on problems in which multiple scattering effects cannot be ignored has led to a central role for nonlinearity, and the possibility of collecting large amounts of data over limited regions of space means that the ill-posed nature of the inverse scattering problem has become a problem of central importance.Initial efforts to address the nonlinear and the ill-posed nature of the inverse scattering problem focused on nonlinear optimization methods. While efficient in many situations, strong a priori information is necessary for their implementation. This problem led to a qualitative approach to inverse scattering theory in which the amount of a priori information is drastically reduced, although at the expense of only obtaining limited information about the values of the constitutive parameters. This qualitative approach (the linear sampling method, the factorization method, the theory of transmission eigenvalues, etc.) is the theme of this book.The authors:Begin with a basic introduction to the theory, then proceed to more recent developments, including a detailed discussion of the transmission eigenvalue problem.Present the new generalized linear sampling method in addition to the well-known linear sampling and factorization methods.In order to achieve clarification of presentation, focus on the inverse scattering problem for scalar homogeneous media.…