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  • 1
    Book
    Book
    Berlin [u.a.] :De Gruyter,
    UID:
    almafu_BV040424773
    Format: XI, 283 S. : , graph. Darst. ; , 25 cm.
    ISBN: 3-11-025524-3 , 978-3-11-025524-9
    Series Statement: Radon series on computational and applied mathematics 10
    Note: Literatur-Verz.: S. 265 - 279
    Additional Edition: Erscheint auch als Online-Ausgabe ISBN 978-3-11-025572-0
    Language: English
    Subjects: Mathematics
    RVK:
    Keywords: Regularisierung ; Banach-Raum
    Author information: Schuster, Thomas 1971-
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    Book
    Book
    Berlin [u.a.] :De Gruyter,
    UID:
    almafu_(DE-604)BV040424773
    Format: XI, 283 S. : , graph. Darst. ; , 25 cm.
    ISBN: 3-11-025524-3 , 978-3-11-025524-9
    Series Statement: Radon series on computational and applied mathematics 10
    Note: Literatur-Verz.: S. 265 - 279
    Additional Edition: Erscheint auch als Online-Ausgabe ISBN 978-3-11-025572-0
    Language: English
    Subjects: Mathematics
    RVK:
    Keywords: Regularisierung ; Banach-Raum
    Author information: Schuster, Thomas 1971-
    Library Location Call Number Volume/Issue/Year Availability
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  • 3
    UID:
    gbv_689386001
    Format: XI, 283 Seiten , graph. Darst , 25 cm
    ISBN: 3110255243 , 9783110255249
    Series Statement: Radon series on computational and applied mathematics 10
    Note: Literaturangaben
    Additional Edition: ISBN 9783110255720
    Additional Edition: Online-Ausg. Regularization methods in Banach spaces Berlin [u.a.] : De Gruyter, 2012 ISBN 9783110255249
    Additional Edition: ISBN 3110255243
    Additional Edition: Erscheint auch als Online-Ausgabe Regularization methods in Banach spaces Berlin : De Gruyter, 2012 ISBN 9783112204504
    Additional Edition: ISBN 9781283627924
    Additional Edition: ISBN 9783110255720
    Additional Edition: Erscheint auch als Online-Ausgabe Schuster, Thomas, 1971 - Regularization Methods in Banach Spaces s.l. : Walter de Gruyter GmbH Co.KG, 2012 ISBN 3110255723
    Additional Edition: Erscheint auch als Online-Ausgabe Schuster, Thomas, 1971 - Regularization methods in Banach spaces Berlin : De Gruyter, 2011 ISBN 9783110255720
    Additional Edition: ISBN 9783110255249
    Additional Edition: Online-Ausg. Regularization methods in Banach spaces Berlin : De Gruyter, 2012 ISBN 9783112204504
    Additional Edition: ISBN 9781283627924
    Additional Edition: ISBN 9783110255720
    Language: English
    Subjects: Mathematics
    RVK:
    RVK:
    Keywords: Regularisierung ; Banach-Raum
    Author information: Schuster, Thomas 1971-
    Author information: Hofmann, Bernd 1953-
    Library Location Call Number Volume/Issue/Year Availability
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  • 4
    Online Resource
    Online Resource
    Berlin ;Boston :De Gruyter,
    UID:
    edocfu_9958353803302883
    Format: 1 online resource (294p.)
    ISBN: 9783110255720
    Series Statement: Radon Series on Computational and Applied Mathematics ; 10
    Content: Regularization methods aimed at finding stable approximate solutions are a necessary tool to tackle inverse and ill-posed problems. Inverse problems arise in a large variety of applications ranging from medical imaging and non-destructive testing via finance to systems biology. Many of these problems belong to the class of parameter identification problems in partial differential equations (PDEs) and thus are computationally demanding and mathematically challenging. Hence there is a substantial need for stable and efficient solvers for this kind of problems as well as for a rigorous convergence analysis of these methods. This monograph consists of five parts. Part I motivates the importance of developing and analyzing regularization methods in Banach spaces by presenting four applications which intrinsically demand for a Banach space setting and giving a brief glimpse of sparsity constraints. Part II summarizes all mathematical tools that are necessary to carry out an analysis in Banach spaces. Part III represents the current state-of-the-art concerning Tikhonov regularization in Banach spaces. Part IV about iterative regularization methods is concerned with linear operator equations and the iterative solution of nonlinear operator equations by gradient type methods and the iteratively regularized Gauß-Newton method. Part V finally outlines the method of approximate inverse which is based on the efficient evaluation of the measured data with reconstruction kernels.
    Note: Frontmatter -- , Preface -- , Contents -- , Part I. Why to use Banach spaces in regularization theory? -- , Part II. Geometry and mathematical tools of Banach spaces -- , Part III. Tikhonov-type regularization -- , Part IV. Iterative regularization -- , Part V. The method of approximate inverse -- , Bibliography -- , Index , In English.
    Additional Edition: ISBN 978-3-11-025524-9
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 5
    UID:
    gbv_1655759663
    Format: Online-Ressource
    Edition: 1. Aufl.
    Edition: 2011
    ISBN: 3110255723
    Series Statement: Radon Series on Computational and Applied Mathematics 10
    Content: Regularization methods aimed at finding stable approximate solutions are a necessary tool to tackle inverse and ill-posed problems. Usually the mathematical model of an inverse problem consists of an operator equation of the first kind and often the associated forward operator acts between Hilbert spaces. However, for numerous problems the reasons for using a Hilbert space setting seem to be based rather on conventions than on an approprimate and realistic model choice, so often a Banach space setting would be closer to reality. Furthermore, sparsity constraints using general Lp-norms or the BV-norm have recently become very popular. Meanwhile the most well-known methods have been investigated for linear and nonlinear operator equations in Banach spaces. Motivated by these facts the authors aim at collecting and publishing these results in a monograph. Thomas Schuster, Carl von Ossietzky Universität Oldenburg, Germany;Barbara Kaltenbacher, University of Stuttgart, Germany; Bernd Hofmann, Chemnitz University of Technology, Germany; Kamil S. Kazimierski, University of Bremen, Germany.
    Additional Edition: ISBN 3110255243
    Additional Edition: ISBN 9781283627924
    Additional Edition: ISBN 9783110255249
    Additional Edition: ISBN 9783112204504
    Additional Edition: Erscheint auch als Druck-Ausgabe
    Additional Edition: Erscheint auch als Druck-Ausgabe Regularization methods in Banach spaces Berlin [u.a.] : De Gruyter, 2012 ISBN 3110255243
    Additional Edition: ISBN 9783110255249
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-1-283-62792-4
    Additional Edition: Erscheint auch als Druck-Ausgabe Regularization methods in Banach spaces Berlin [u.a.] : De Gruyter, 2012 ISBN 3110255243
    Additional Edition: ISBN 9783110255249
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-11-220450-4
    Language: English
    Subjects: Mathematics
    RVK:
    RVK:
    Keywords: Regularisierung ; Banach-Raum
    URL: Volltext  (lizenzpflichtig)
    URL: Cover
    URL: Cover
    Author information: Schuster, Thomas 1971-
    Library Location Call Number Volume/Issue/Year Availability
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  • 6
    Book
    Book
    Berlin [u.a.] : De Gruyter
    UID:
    b3kat_BV040424773
    Format: XI, 283 S. , graph. Darst. , 25 cm
    ISBN: 3110255243 , 9783110255249
    Series Statement: Radon series on computational and applied mathematics 10
    Note: Literatur-Verz.: S. 265 - 279
    Additional Edition: Erscheint auch als Online-Ausgabe ISBN 978-3-11-025572-0
    Language: English
    Subjects: Mathematics
    RVK:
    Keywords: Regularisierung ; Banach-Raum
    Author information: Schuster, Thomas 1971-
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 7
    UID:
    almahu_9947548581702882
    Format: 1 online resource (294 p.)
    ISBN: 9783110255720 , 9783110288995
    Series Statement: Radon Series on Computational and Applied Mathematics ; 10
    Content: Regularization methods aimed at finding stable approximate solutions are a necessary tool to tackle inverse and ill-posed problems. Inverse problems arise in a large variety of applications ranging from medical imaging and non-destructive testing via finance to systems biology. Many of these problems belong to the class of parameter identification problems in partial differential equations (PDEs) and thus are computationally demanding and mathematically challenging. Hence there is a substantial need for stable and efficient solvers for this kind of problems as well as for a rigorous convergence analysis of these methods. This monograph consists of five parts. Part I motivates the importance of developing and analyzing regularization methods in Banach spaces by presenting four applications which intrinsically demand for a Banach space setting and giving a brief glimpse of sparsity constraints. Part II summarizes all mathematical tools that are necessary to carry out an analysis in Banach spaces. Part III represents the current state-of-the-art concerning Tikhonov regularization in Banach spaces. Part IV about iterative regularization methods is concerned with linear operator equations and the iterative solution of nonlinear operator equations by gradient type methods and the iteratively regularized Gauß-Newton method. Part V finally outlines the method of approximate inverse which is based on the efficient evaluation of the measured data with reconstruction kernels.
    Note: Frontmatter -- , Preface -- , Contents -- , Part I. Why to use Banach spaces in regularization theory? -- , Part II. Geometry and mathematical tools of Banach spaces -- , Part III. Tikhonov-type regularization -- , Part IV. Iterative regularization -- , Part V. The method of approximate inverse -- , Bibliography -- , Index , Mode of access: Internet via World Wide Web. , In English.
    In: E-BOOK GESAMTPAKET / COMPLETE PACKAGE 2012, De Gruyter, 9783110288995
    In: E-BOOK PACKAGE MATHEMATICS, PHYSICS, ENGINEERING 2012, De Gruyter, 9783110293722
    In: E-BOOK PAKET MATHEMATIK, PHYSIK, INGENIEURWISS. 2012, De Gruyter, 9783110288926
    Additional Edition: ISBN 9783110255249
    Language: English
    URL: Cover
    Library Location Call Number Volume/Issue/Year Availability
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  • 8
    UID:
    edocfu_9959242397902883
    Format: 1 online resource (296 p.)
    Edition: 1st ed.
    ISBN: 3-11-025572-3 , 1-283-62792-2 , 9786613940377
    Series Statement: Radon series on computational and applied mathematics, 10
    Content: Regularization methods aimed at finding stable approximate solutions are a necessary tool to tackle inverse and ill-posed problems. Inverse problems arise in a large variety of applications ranging from medical imaging and non-destructive testing via finance to systems biology. Many of these problems belong to the class of parameter identification problems in partial differential equations (PDEs) and thus are computationally demanding and mathematically challenging. Hence there is a substantial need for stable and efficient solvers for this kind of problems as well as for a rigorous convergence analysis of these methods. This monograph consists of five parts. Part I motivates the importance of developing and analyzing regularization methods in Banach spaces by presenting four applications which intrinsically demand for a Banach space setting and giving a brief glimpse of sparsity constraints. Part II summarizes all mathematical tools that are necessary to carry out an analysis in Banach spaces. Part III represents the current state-of-the-art concerning Tikhonov regularization in Banach spaces. Part IV about iterative regularization methods is concerned with linear operator equations and the iterative solution of nonlinear operator equations by gradient type methods and the iteratively regularized Gauß-Newton method. Part V finally outlines the method of approximate inverse which is based on the efficient evaluation of the measured data with reconstruction kernels.
    Note: Description based upon print version of record. , Front matter -- , Preface -- , Contents -- , Part I. Why to use Banach spaces in regularization theory? -- , Part II. Geometry and mathematical tools of Banach spaces -- , Part III. Tikhonov-type regularization -- , Part IV. Iterative regularization -- , Part V. The method of approximate inverse -- , Bibliography -- , Index , Issued also in print. , English
    Additional Edition: ISBN 3-11-220450-6
    Additional Edition: ISBN 3-11-025524-3
    Language: English
    Subjects: Mathematics
    RVK:
    Library Location Call Number Volume/Issue/Year Availability
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  • 9
    UID:
    almahu_9949462113502882
    Format: 1 online resource (283 p.)
    ISBN: 9783110255720 , 9783110238570
    Series Statement: Radon Series on Computational and Applied Mathematics , 10
    Content: Regularization methods aimed at finding stable approximate solutions are a necessary tool to tackle inverse and ill-posed problems. Inverse problems arise in a large variety of applications ranging from medical imaging and non-destructive testing via finance to systems biology. Many of these problems belong to the class of parameter identification problems in partial differential equations (PDEs) and thus are computationally demanding and mathematically challenging. Hence there is a substantial need for stable and efficient solvers for this kind of problems as well as for a rigorous convergence analysis of these methods. This monograph consists of five parts. Part I motivates the importance of developing and analyzing regularization methods in Banach spaces by presenting four applications which intrinsically demand for a Banach space setting and giving a brief glimpse of sparsity constraints. Part II summarizes all mathematical tools that are necessary to carry out an analysis in Banach spaces. Part III represents the current state-of-the-art concerning Tikhonov regularization in Banach spaces. Part IV about iterative regularization methods is concerned with linear operator equations and the iterative solution of nonlinear operator equations by gradient type methods and the iteratively regularized Gauß-Newton method. Part V finally outlines the method of approximate inverse which is based on the efficient evaluation of the measured data with reconstruction kernels.
    Note: Frontmatter -- , Preface -- , Contents -- , Part I. Why to use Banach spaces in regularization theory? -- , Part II. Geometry and mathematical tools of Banach spaces -- , Part III. Tikhonov-type regularization -- , Part IV. Iterative regularization -- , Part V. The method of approximate inverse -- , Bibliography -- , Index , Issued also in print. , Mode of access: Internet via World Wide Web. , In English.
    In: DGBA Backlist Complete English Language 2000-2014 PART1, De Gruyter, 9783110238570
    In: DGBA Backlist Mathematics 2000-2014 (EN), De Gruyter, 9783110238471
    In: DGBA Mathematics - 2000 - 2014, De Gruyter, 9783110637205
    In: E-BOOK GESAMTPAKET / COMPLETE PACKAGE 2012, De Gruyter, 9783110288995
    In: E-BOOK PACKAGE MATHEMATICS, PHYSICS, ENGINEERING 2012, De Gruyter, 9783110293722
    In: E-BOOK PAKET MATHEMATIK, PHYSIK, INGENIEURWISS. 2012, De Gruyter, 9783110288926
    In: Radon Series on Applied Mathematics eBook-Package, De Gruyter, 9783110647174
    Additional Edition: ISBN 9783110255249
    Language: English
    Subjects: Mathematics
    RVK:
    URL: Cover
    Library Location Call Number Volume/Issue/Year Availability
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