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Can I read Numerical Regularization for Atmospheric Inverse Problems (Springer Praxis Books) on EtoBox?

Numerical Regularization for Atmospheric Inverse Problems (Springer Praxis Books) by Adrian Doicu, Thomas Trautmann, Franz Schreier (auth.) is a nonfiction available to read on EtoBox.

What is Numerical Regularization for Atmospheric Inverse Problems (Springer Praxis Books) about?

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. Written by brilliant mathematicians, this research monograph presents and analyzes numerical algorithms for atmospheric retrieval, pulling together all the relevant material in a consistent, very powerful manner. The first chapter presents the typical retrieval problems encountered in atmospheric remote sensing. Chapter 2 introduces the concept of ill-posedness for linear discrete equations, illustrating the difficulties associated with the solution of the problems by considering a temperature retrieval test problem and analyzing the solvability of the discrete equation by using the singular value decomposition of the corresponding matrix. A detailed description of the Tikhonov regularization for linear problems is the subject of Chapter 3, in which the authors introduce a set of mathematical and graphical tools to characterize the regularized solution. The goal of Chapter 4 is to reveal the similitude b

Who reads Numerical Regularization for Atmospheric Inverse Problems (Springer Praxis Books)?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Adrian Doicu, Thomas Trautmann, Franz Schreier (auth.)
Publisher
Springer-Verlag Berlin Heidelberg
Published
2010
Language
EN
ISBN
9786612926372
Category
nonfiction
Subjects
Science, Anthropology, Physics

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