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RECORD NUMBER: 6 OF 8

Main Title Parameter estimation and inverse problems /
Author Aster, Richard C.
Other Authors
Author Title of a Work
Thurber, Clifford H.
Borchers, Brian.
Publisher Elsevier Academic Press,
Year Published 2005
OCLC Number 57470064
ISBN 0120656043; 9780120656042
Subjects Parameter estimation ; Mathematical models ; Geophysik ; Inverse Methode ; Geophysik--(DE-588)4020252-5 ; Inverse Methode--(DE-588)4162226-1
Internet Access
Description Access URL
http://www.loc.gov/catdir/enhancements/fy0627/2005295471-d.html
Table of contents http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&doc_number=014807959&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
Table of contents http://www.gbv.de/dms/goettingen/481084185.pdf
Publisher description http://catdir.loc.gov/catdir/enhancements/fy0627/2005295471-d.html
http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=014807959&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
Holdings
Library Call Number Additional Info Location Last
Modified
Checkout
Status
EKBM  QA276.8.A88 2005 Research Triangle Park Library/RTP, NC 08/31/2011
EKCM  QA276.8.A88 2005 CEMM/GEMMD Library/Gulf Breeze,FL 12/12/2017
ESBM  QA276.8.A88 2005 CPHEA/PESD Library/Corvallis,OR 03/01/2010 DISPERSAL
Collation xii, 301 pages : illustrations ; 24 cm + 1 CD-ROM (4 3/4 in.).
Notes
Includes bibliographical references (pages 283-289) and index.
Contents Notes
Linear Regression -- Discretizing Continuous Inverse Problems -- Rank Deficiency and Ill-Conditioning -- Tikhonov Regularization -- Iterative Methods -- Other Regularization Techniques -- Fourier Techniques -- Nonlinear Regression -- Nonlinear Inverse Problems -- Bayesian Methods. "Parameter Estimation and Inverse Problems introduces readers to Classical and Bayesian approaches to linear and nonlinear problems, with particular attention paid to computational, mathematical, and statistical issues related to their application to geophysical problems. The accompanying CD-ROM features computational examples, and exercises using MATLAB routines. After learning this material, students should be well prepared to appreciate research papers that apply these methods."--BOOK JACKET.