<p><P></P><P>The subject of this book is a hot topic with currently no monographic support. It is more advanced, specialized and mathematical than its competitors, and a comprehensive book on regularization techniques for atmospheric science is much needed for further development in this field. Writ
Regularization for Applied Inverse and III-Posed Problems: A Numerical Approach
โ Scribed by Doz. Dr. Bernd Hofmann (auth.), Doz. Dr. Bernd Hofmann (eds.)
- Publisher
- Vieweg+Teubner Verlag
- Year
- 1986
- Tongue
- German
- Leaves
- 199
- Series
- Teubner-Texte zur Mathermatik 85
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Table of Contents
Front Matter....Pages N2-6
Introduction....Pages 7-11
Mathematical Modelling....Pages 12-60
A General Optimization Approach....Pages 61-84
Regularization of Deterministic Discretized Inverse Problems....Pages 85-117
Regularization of Stochastic Discretized Inverse Problems....Pages 118-146
A Unified Numerical Approach to Nonlinear Inverse Problems....Pages 147-163
Back Matter....Pages 164-197
โฆ Subjects
Engineering, general
๐ SIMILAR VOLUMES
<p><P></P><P>The subject of this book is a hot topic with currently no monographic support. It is more advanced, specialized and mathematical than its competitors, and a comprehensive book on regularization techniques for atmospheric science is much needed for further development in this field. Writ
<p><P></P><P>The subject of this book is a hot topic with currently no monographic support. It is more advanced, specialized and mathematical than its competitors, and a comprehensive book on regularization techniques for atmospheric science is much needed for further development in this field. Writ
Optimization and Regularization for Computational Inverse Problems and Applications focuses on advances in inversion theory and recent developments with practical applications, particularly emphasizing the combination of optimization and regularization for solving inverse problems. This book covers
"Optimization and Regularization for Computational Inverse Problems and Applications" focuses on advances in inversion theory and recent developments with practical applications, particularly emphasizing the combination of optimization and regularization for solving inverse problems. This book cover
<p>"Optimization and Regularization for Computational Inverse Problems and Applications" focuses on advances in inversion theory and recent developments with practical applications, particularly emphasizing the combination of optimization and regularization for solving inverse problems. This book co