Theoretical Foundations and Step-by-Step Guide for Applications
Series: Scientific Computation
Chavent, Guy
2010, XIV, 360p.
Springer eBooks may be purchased by end-customers only and are sold without copy protection (DRM free). Instead, all eBooks include personalized watermarks. This means you can read the Springer eBooks across numerous devices such as Laptops, eReaders, and tablets.
You can pay for Springer eBooks with Visa, Mastercard, American Express or Paypal.
After the purchase you can directly download the eBook file or read it online in our Springer eBook Reader. Furthermore your eBook will be stored in your MySpringer account. So you can always re-download your eBooks.
(net)
price for USA
ISBN 978-90-481-2785-6
digitally watermarked, no DRM
Included Format: PDF and EPUB
download immediately after purchase
Hardcover version
You can pay for Springer Books with Visa, Mastercard, American Express or Paypal.
Standard shipping is free of charge for individual customers.
(net)
price for USA
ISBN 978-90-481-2784-9
free shipping for individuals worldwide
usually dispatched within 3 to 5 business days
Softcover (also known as softback) version.
You can pay for Springer Books with Visa, Mastercard, American Express or Paypal.
Standard shipping is free of charge for individual customers.
(net)
price for USA
ISBN 978-94-007-3060-1
free shipping for individuals worldwide
usually dispatched within 3 to 5 business days
This book provides an introduction into the least squares resolution of nonlinear inverse problems. The first goal is to develop a geometrical theory to analyze nonlinear least square (NLS) problems with respect to their quadratic wellposedness, i.e. both wellposedness and optimizability. Using the results, the applicability of various regularization techniques can be checked. The second objective of the book is to present frequent practical issues when solving NLS problems. Application oriented readers will find a detailed analysis of problems on the reduction to finite dimensions, the algebraic determination of derivatives (sensitivity functions versus adjoint method), the determination of the number of retrievable parameters, the choice of parametrization (multiscale, adaptive) and the optimization step, and the general organization of the inversion code. Special attention is paid to parasitic local minima, which can stop the optimizer far from the global minimum: multiscale parametrization is shown to be an efficient remedy in many cases, and a new condition is given to check both wellposedness and the absence of parasitic local minima.
For readers that are interested in projection on non-convex sets, Part II of this book presents the geometric theory of quasi-convex and strictly quasi-convex (s.q.c.) sets. S.q.c. sets can be recognized by their finite curvature and limited deflection and possess a neighborhood where the projection is well-behaved.
Throughout the book, each chapter starts with an overview of the presented concepts and results.
Content Level » Research
Keywords » analysis of NLS problems - analysis of nonlinear least square problems - choice of parametrization - inverse problem - inversion code - inversion method - inversion methods - least square method - least square methods - least square problem - least square problems;
Related subjects » Computational Intelligence and Complexity - Mathematics - Theoretical, Mathematical & Computational Physics
Get alerted on new Springer publications in the subject area of Mathematical Modeling and Industrial Mathematics.