2012, ISBN: 3848482622

[EAN: 9783848482627], Neubuch, [PU: LAP Lambert Academic Publishing], nach der Bestellung gedruckt Neuware - Many problems in science and engineering have their mathematical formulation a… Más…

[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<

2012, ISBN: 3848482622

[EAN: 9783848482627], Neubuch, [PU: LAP Lambert Academic Publishing], nach der Bestellung gedruckt Neuware -Many problems in science and engineering have their mathematical formulation as… Más…

[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<

2012, ISBN: 3848482622

[EAN: 9783848482627], Neubuch, [PU: LAP Lambert Academic Publishing, Germany], Language: English. Brand new Book. Many problems in science and engineering have their mathematical formulat… Más…

[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<

ISBN: 9783848482627

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… Más…

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<

2012, ISBN: 9783848482627

Trade paperback, New., Trade paperback (US). Glued binding. 100 p. Contains: Illustrations, black & white., Saarbrucken, [PU: LAP Lambert Academic Publishing]