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100%: Schuster, Thomas;Kaltenbacher, Barbara;Hofmann, Bernd;Kazimierski, Kamil S.: Regularization Methods in Banach Spaces als eBook von (ISBN: 9783110255720) 2012, in Englisch, auch als eBook.Nur diese Ausgabe anzeigen…
50%: Schuster, Thomas; Kaltenbacher, Barbara; Hofmann, Bernd; Kazimierski, Kamil S.: Regularization Methods in Banach Spaces RSCAM 10 (Radon Series on Computational and Applied Mathematics) (ISBN: 9783110255249) in Deutsch, Broschiert.Nur diese Ausgabe anzeigen…
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1
Regularization Methods in Banach Spaces
DE NWISBN: 9783110255720 bzw. 3110255723, in Deutsch, Walter De Gmbh Gruyter, neu.
Lieferung aus: Deutschland, Versandkostenfrei.
Regularization Methods in Banach Spaces: 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. Englisch, Ebook.
Regularization Methods in Banach Spaces: 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. Englisch, Ebook.
2
Regularization Methods in Banach Spaces (Radon Series on Computational and Applied Mathematics) (2012)
EN NW EB DLISBN: 9783110255720 bzw. 3110255723, in Englisch, 294 Seiten, De Gruyter, neu, E-Book, elektronischer Download.
Lieferung aus: Vereinigtes Königreich Großbritannien und Nordirland, E-Book zum Download, Versandkostenfrei.
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., Kindle Edition, Format: Kindle eBook, Label: De Gruyter, De Gruyter, Produktgruppe: eBooks, Publiziert: 2012-07-30, Freigegeben: 2012-07-30, Studio: De Gruyter.
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., Kindle Edition, Format: Kindle eBook, Label: De Gruyter, De Gruyter, Produktgruppe: eBooks, Publiziert: 2012-07-30, Freigegeben: 2012-07-30, Studio: De Gruyter.
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Regularization Methods In Banach Spaces (2012)
DE HC NWISBN: 9783110255249 bzw. 3110255243, in Deutsch, de Gruyter, Berlin/New York, Deutschland, gebundenes Buch, neu.
Lieferung aus: Indien, Versandkosten nach: DEU.
Von Händler/Antiquariat, OVERSEAS BOOKSTORE.
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Von Händler/Antiquariat, OVERSEAS BOOKSTORE.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
4
Regularization Methods in Banach Spaces (2016)
DE HC NWISBN: 3110255243 bzw. 9783110255249, in Deutsch, De Gruyter, gebundenes Buch, neu.
Von Händler/Antiquariat, Speyer & Peters GmbH, 12165 Berlin.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
5
Symbolbild
Regularization Methods in Banach Spaces RSCAM 10 (Radon Series on Computational and Applied Mathematics) (2012)
DE HC USISBN: 9783110255249 bzw. 3110255243, in Deutsch, de Gruyter, gebundenes Buch, gebraucht.
Lieferung aus: Vereinigte Staaten von Amerika, Versandkosten nach: DEU.
Von Händler/Antiquariat, Ergodebooks.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Von Händler/Antiquariat, Ergodebooks.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
8
Regularization Methods in Banach Spaces als eBook Download von
DE NW EBISBN: 9783110255720 bzw. 3110255723, in Deutsch, Gruyter, Walter de GmbH, neu, E-Book.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
10
Regularization Methods in Banach Spaces Schuster, Thomas|Kaltenbacher, Barbara.
DE NWISBN: 9783110255249 bzw. 3110255243, in Deutsch, de Gruyter, Berlin/New York, Deutschland, neu.
Lieferung aus: Deutschland, Lieferart: Free, Lieferung: Deutschland, Artikelstandort: Deutschland, Versandkostenfrei.
Von Händler/Antiquariat, moluna_gmbh - MOLUNA-SHOP.
Festpreisangebot.
Von Händler/Antiquariat, moluna_gmbh - MOLUNA-SHOP.
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