Stable Methods for Ill-Posed Variational Problems
Prox-Regularization of Elliptic Variational Inequalities and Semi-Infinite Problems
Seiten
1994
De Gruyter Akademie (Hersteller)
978-3-05-501635-6 (ISBN)
De Gruyter Akademie (Hersteller)
978-3-05-501635-6 (ISBN)
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Iterative prox-regularization methods are studied in a general framework in this text. Applications to ill-posed variational problems in Hilbert spaces include elliptic inequalities from elasticity theory and semi-infinite programming.
Iterative prox-regularization methods for solving ill-posed convex variational problems in Hilbert spaces are the subject of this book. A general framework is developed to analyze simultaneously procedures of regularization and successively refined discretization in connection with specific optimization methods for solving the discrete problems. This allows an efficient control of the solution process as a whole. In the first part of the book various methods for treating ill-posed problems are presented, including a study of the regularizing properties of a number of specific optimization algorithms. In the second part, a new class of multi-step methods is introduced which is based on a generalization of the iterative prox-regularization concept. Compared with former methods these new methods permit a more effective use of rough approximations of the infinite dimensional problems and consequently an acceleration of the numerical process. Special versions of these methods are given for ill-posed convex semi-infinite optimization problems and elliptic variational inequalities with weakly coercive operators, including some problems in elasticity theory.
Iterative prox-regularization methods for solving ill-posed convex variational problems in Hilbert spaces are the subject of this book. A general framework is developed to analyze simultaneously procedures of regularization and successively refined discretization in connection with specific optimization methods for solving the discrete problems. This allows an efficient control of the solution process as a whole. In the first part of the book various methods for treating ill-posed problems are presented, including a study of the regularizing properties of a number of specific optimization algorithms. In the second part, a new class of multi-step methods is introduced which is based on a generalization of the iterative prox-regularization concept. Compared with former methods these new methods permit a more effective use of rough approximations of the infinite dimensional problems and consequently an acceleration of the numerical process. Special versions of these methods are given for ill-posed convex semi-infinite optimization problems and elliptic variational inequalities with weakly coercive operators, including some problems in elasticity theory.
Concepts of well-posedness; stabilizing techniques for ill-posed problems; Tikhonov's principle; prox-regularization; methods of finite elements; iterative prox-regularization for finite and infinite dimensional problems; rate of convergence; choice of control parameters; solution of semi-infinite problems; solution for elliptic variational inequalities; numerical aspects. (Part contents).
| Zusatzinfo | 11 Abb. |
|---|---|
| Verlagsort | Weinheim |
| Sprache | englisch |
| Maße | 170 x 240 mm |
| Einbandart | Pappe |
| Themenwelt | Mathematik / Informatik ► Mathematik ► Analysis |
| ISBN-10 | 3-05-501635-1 / 3055016351 |
| ISBN-13 | 978-3-05-501635-6 / 9783055016356 |
| Zustand | Neuware |
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