你好! Shipping to Taiwan with premium packaging for just NT$300 

Ship to
Taiwan
0

My Account

  • argentina
  • chile
  • colombia
  • españa
  • méxico
  • perú
  • estados unidos
  • internacional

menu

Select your country

Americas

Europe

Rest of the world

portada Numerical Regularization for Atmospheric Inverse Problems (Environmental Sciences)
Type
Physical Book
Publisher
Author
Language
English
Pages
439
Format
Paperback
ISBN13
9783642424014
Edition No.
2010th

Numerical Regularization for Atmospheric Inverse Problems (Environmental Sciences)

Adrian Doicu; Thomas Trautmann; Franz Schreier (Author) · Springer · Paperback

Numerical Regularization for Atmospheric Inverse Problems (Environmental Sciences) - Adrian Doicu; Thomas Trautmann; Franz Schreier

Cheaper New Book Imported to Taiwan
Delivery: 16 Sep - 29 Sep Shipping: 12 to 16 business days.
NT$ 6,461
Faster New Book Imported to Taiwan
Delivery: 04 Sep - 14 Sep Shipping: 4 to 5 business days.
NT$ 9,111
NT$ 6,461

Choose the list to add your product or create one New List

Go to My Wishlists
Calculate shipping cost

Synopsis "Numerical Regularization for Atmospheric Inverse Problems (Environmental Sciences)"

The retrieval problems arising in atmospheric remote sensing belong to the class of the - called discrete ill-posed problems. These problems are unstable under data perturbations, and can be solved by numerical regularization methods, in which the solution is stabilized by taking additional information into account. The goal of this research monograph is to present and analyze numerical algorithms for atmospheric retrieval. The book is aimed at physicists and engineers with some ba- ground in numerical linear algebra and matrix computations. Although there are many practical details in this book, for a robust and ef?cient implementation of all numerical algorithms, the reader should consult the literature cited. The data model adopted in our analysis is semi-stochastic. From a practical point of view, there are no signi?cant differences between a semi-stochastic and a determin- tic framework; the differences are relevant from a theoretical point of view, e.g., in the convergence and convergence rates analysis. After an introductory chapter providing the state of the art in passive atmospheric remote sensing, Chapter 2 introduces the concept of ill-posedness for linear discrete eq- tions. To illustrate the dif?culties associated with the solution of discrete ill-posed pr- lems, we consider the temperature retrieval by nadir sounding and analyze the solvability of the discrete equation by using the singular value decomposition of the forward model matrix.

Customers reviews

More customer reviews
  • 0% (0)
  • 0% (0)
  • 0% (0)
  • 0% (0)
  • 0% (0)

Frequently Asked Questions about the Book

Is the book original?

All books in our catalog are Original.

In what language is the book written?

The book is written in English.

What is the format of this book?

The binding of this edition is Paperback.

Questions and Answers about the Book

Do you have a question about the book? Login to be able to add your own question.

Opinions about Bookdelivery

More customer reviews