[EAN: 9783848482627], Neubuch, [PU: LAP Lambert Academic Publishing], nach der Bestellung gedruckt Neuware - Many problems in science and engineering have their mathematical formulation a… Mehr…
[EAN: 9783848482627], Neubuch, [PU: LAP Lambert Academic Publishing], nach der Bestellung gedruckt Neuware - Many problems in science and engineering have their mathematical formulation as an operator equation of the form F(x) = y, where F is a linear or nonlinear operator between certain function spaces. In practice, such equations are solved approximately using numerical methods, as their exact solution may not be often possible or may not be worth looking for due to physical constraints. In such situation, it is desirable to know how the so-called approximate solution approximates the exact solution, and what would be the error involved in such procedures. The main focus of the book is on the study of stably solving nonlinear ill posed operator equations of the form F(x)=y, with monotone nonlinear operator F in an infinite dimensional real Hilbert space X, that is , F obeys the monotonicity property. It is assumed that the exact data y is unknown and usually only noisy data are available. Problems of this type arise in a number of applications. Since the solution does not depend continuously on the data, the ill-posed problem has to be regularized. We considered iterative methods which converge to the unique solution of the method of Lavrentiev regularization. 100 pp. Englisch, Books<
[EAN: 9783848482627], Neubuch, [PU: LAP Lambert Academic Publishing], nach der Bestellung gedruckt Neuware -Many problems in science and engineering have their mathematical formulation as… Mehr…
[EAN: 9783848482627], Neubuch, [PU: LAP Lambert Academic Publishing], nach der Bestellung gedruckt Neuware -Many problems in science and engineering have their mathematical formulation as an operator equation of the form F(x) = y, where F is a linear or nonlinear operator between certain function spaces. In practice, such equations are solved approximately using numerical methods, as their exact solution may not be often possible or may not be worth looking for due to physical constraints. In such situation, it is desirable to know how the so-called approximate solution approximates the exact solution, and what would be the error involved in such procedures. The main focus of the book is on the study of stably solving nonlinear ill posed operator equations of the form F(x)=y, with monotone nonlinear operator F in an infinite dimensional real Hilbert space X, that is , F obeys the monotonicity property. It is assumed that the exact data y is unknown and usually only noisy data are available. Problems of this type arise in a number of applications. Since the solution does not depend continuously on the data, the ill-posed problem has to be regularized. We considered iterative methods which converge to the unique solution of the method of Lavrentiev regularization. 100 pp. Englisch, Books<
[EAN: 9783848482627], Neubuch, [PU: LAP Lambert Academic Publishing, Germany], Language: English. Brand new Book. Many problems in science and engineering have their mathematical formulat… Mehr…
[EAN: 9783848482627], Neubuch, [PU: LAP Lambert Academic Publishing, Germany], Language: English. Brand new Book. Many problems in science and engineering have their mathematical formulation as an operator equation of the form F(x) = y, where F is a linear or nonlinear operator between certain function spaces. In practice, such equations are solved approximately using numerical methods, as their exact solution may not be often possible or may not be worth looking for due to physical constraints. In such situation, it is desirable to know how the so-called approximate solution approximates the exact solution, and what would be the error involved in such procedures. The main focus of the book is on the study of stably solving nonlinear ill posed operator equations of the form F(x)=y, with monotone nonlinear operator F in an infinite dimensional real Hilbert space X, that is, F obeys the monotonicity property. It is assumed that the exact data y is unknown and usually only noisy data are available. Problems of this type arise in a number of applications. Since the solution does not depend continuously on the data, the ill-posed problem has to be regularized. We considered iterative methods which converge to the unique solution of the method of Lavrentiev regularization., Books<
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Many problems in science and engineering have their mathematical formulation as an operator equation of the form F(x) = y, where F is a linear or nonlinear operator between certain functi… Mehr…
Many problems in science and engineering have their mathematical formulation as an operator equation of the form F(x) = y, where F is a linear or nonlinear operator between certain function spaces. In practice, such equations are solved approximately using numerical methods, as their exact solution may not be often possible or may not be worth looking for due to physical constraints. In such situation, it is desirable to know how the so-called approximate solution approximates the exact solution, and what would be the error involved in such procedures. The main focus of the book is on the study of stably solving nonlinear ill posed operator equations of the form F(x)=y, with monotone nonlinear operator F in an infinite dimensional real Hilbert space X, that is , F obeys the monotonicity property. It is assumed that the exact data y is unknown and usually only noisy data are available. Problems of this type arise in a number of applications. Since the solution does not depend continuously on the data, the ill-posed problem has to be regularized. We considered iterative methods which converge to the unique solution of the method of Lavrentiev regularization. Trade Books>Trade Paperback>Science>Mathematics>Mathematics, LAP Lambert Academic Publishing Core >1<
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[EAN: 9783848482627], Neubuch, [PU: LAP Lambert Academic Publishing], nach der Bestellung gedruckt Neuware - Many problems in science and engineering have their mathematical formulation a… Mehr…
[EAN: 9783848482627], Neubuch, [PU: LAP Lambert Academic Publishing], nach der Bestellung gedruckt Neuware - Many problems in science and engineering have their mathematical formulation as an operator equation of the form F(x) = y, where F is a linear or nonlinear operator between certain function spaces. In practice, such equations are solved approximately using numerical methods, as their exact solution may not be often possible or may not be worth looking for due to physical constraints. In such situation, it is desirable to know how the so-called approximate solution approximates the exact solution, and what would be the error involved in such procedures. The main focus of the book is on the study of stably solving nonlinear ill posed operator equations of the form F(x)=y, with monotone nonlinear operator F in an infinite dimensional real Hilbert space X, that is , F obeys the monotonicity property. It is assumed that the exact data y is unknown and usually only noisy data are available. Problems of this type arise in a number of applications. Since the solution does not depend continuously on the data, the ill-posed problem has to be regularized. We considered iterative methods which converge to the unique solution of the method of Lavrentiev regularization. 100 pp. Englisch, Books<
[EAN: 9783848482627], Neubuch, [PU: LAP Lambert Academic Publishing], nach der Bestellung gedruckt Neuware -Many problems in science and engineering have their mathematical formulation as… Mehr…
[EAN: 9783848482627], Neubuch, [PU: LAP Lambert Academic Publishing], nach der Bestellung gedruckt Neuware -Many problems in science and engineering have their mathematical formulation as an operator equation of the form F(x) = y, where F is a linear or nonlinear operator between certain function spaces. In practice, such equations are solved approximately using numerical methods, as their exact solution may not be often possible or may not be worth looking for due to physical constraints. In such situation, it is desirable to know how the so-called approximate solution approximates the exact solution, and what would be the error involved in such procedures. The main focus of the book is on the study of stably solving nonlinear ill posed operator equations of the form F(x)=y, with monotone nonlinear operator F in an infinite dimensional real Hilbert space X, that is , F obeys the monotonicity property. It is assumed that the exact data y is unknown and usually only noisy data are available. Problems of this type arise in a number of applications. Since the solution does not depend continuously on the data, the ill-posed problem has to be regularized. We considered iterative methods which converge to the unique solution of the method of Lavrentiev regularization. 100 pp. Englisch, Books<
[EAN: 9783848482627], Neubuch, [PU: LAP Lambert Academic Publishing, Germany], Language: English. Brand new Book. Many problems in science and engineering have their mathematical formulat… Mehr…
[EAN: 9783848482627], Neubuch, [PU: LAP Lambert Academic Publishing, Germany], Language: English. Brand new Book. Many problems in science and engineering have their mathematical formulation as an operator equation of the form F(x) = y, where F is a linear or nonlinear operator between certain function spaces. In practice, such equations are solved approximately using numerical methods, as their exact solution may not be often possible or may not be worth looking for due to physical constraints. In such situation, it is desirable to know how the so-called approximate solution approximates the exact solution, and what would be the error involved in such procedures. The main focus of the book is on the study of stably solving nonlinear ill posed operator equations of the form F(x)=y, with monotone nonlinear operator F in an infinite dimensional real Hilbert space X, that is, F obeys the monotonicity property. It is assumed that the exact data y is unknown and usually only noisy data are available. Problems of this type arise in a number of applications. Since the solution does not depend continuously on the data, the ill-posed problem has to be regularized. We considered iterative methods which converge to the unique solution of the method of Lavrentiev regularization., Books<
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Many problems in science and engineering have their mathematical formulation as an operator equation of the form F(x) = y, where F is a linear or nonlinear operator between certain functi… Mehr…
Many problems in science and engineering have their mathematical formulation as an operator equation of the form F(x) = y, where F is a linear or nonlinear operator between certain function spaces. In practice, such equations are solved approximately using numerical methods, as their exact solution may not be often possible or may not be worth looking for due to physical constraints. In such situation, it is desirable to know how the so-called approximate solution approximates the exact solution, and what would be the error involved in such procedures. The main focus of the book is on the study of stably solving nonlinear ill posed operator equations of the form F(x)=y, with monotone nonlinear operator F in an infinite dimensional real Hilbert space X, that is , F obeys the monotonicity property. It is assumed that the exact data y is unknown and usually only noisy data are available. Problems of this type arise in a number of applications. Since the solution does not depend continuously on the data, the ill-posed problem has to be regularized. We considered iterative methods which converge to the unique solution of the method of Lavrentiev regularization. Trade Books>Trade Paperback>Science>Mathematics>Mathematics, LAP Lambert Academic Publishing Core >1<
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Detailangaben zum Buch - Iterative Methods for Nonlinear ILL-posed Problems Atef Ibrahim Elmahdy Author
EAN (ISBN-13): 9783848482627 ISBN (ISBN-10): 3848482622 Gebundene Ausgabe Taschenbuch Erscheinungsjahr: 2012 Herausgeber: LAP Lambert Academic Publishing Core >1
Buch in der Datenbank seit 2007-11-13T23:24:08+01:00 (Berlin) Detailseite zuletzt geändert am 2024-03-06T22:38:59+01:00 (Berlin) ISBN/EAN: 9783848482627
ISBN - alternative Schreibweisen: 3-8484-8262-2, 978-3-8484-8262-7 Alternative Schreibweisen und verwandte Suchbegriffe: Autor des Buches: elmahdy, ibrahim, atef, lavrentiev Titel des Buches: well posed problems, methods nonlinear analysis
