Description: Computational Methods for Applied Inverse Problems by Yanfei Wang, Anatoly G. Yagola, J.J. Cao, H. Cheng, Y.H. Dai, C.Z. Dong, G.S. Dulikravich, I.N. Egorov, L.J. Gelius Estimated delivery 3-12 business days Format Hardcover Condition Brand New Description This monograph reports recent advances of inversion theory and recent developments with practical applications in frontiers of sciences, especially inverse design and novel computational methods for inverse problems. Publisher Description Nowadays inverse problems and applications in science and engineering represent an extremely active research field. The subjects are related to mathematics, physics, geophysics, geochemistry, oceanography, geography and remote sensing, astronomy, biomedicine, and other areas of applications. This monograph reports recent advances of inversion theory and recent developments with practical applications in frontiers of sciences, especially inverse design and novel computational methods for inverse problems. The practical applications include inverse scattering, chemistry, molecular spectra data processing, quantitative remote sensing inversion, seismic imaging, oceanography, and astronomical imaging. The book serves as a reference book and readers who do research in applied mathematics, engineering, geophysics, biomedicine, image processing, remote sensing, and environmental science will benefit from the contents since the book incorporates a background of using statistical and non-statistical methods, e.g., regularization and optimization techniques for solving practical inverse problems. Author Biography Yanfei Wang, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing, China; Anatoly G. Yagola, Lomonosov Moscow State University, Russia; Changchun Yang, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing, China. Details ISBN 3110259044 ISBN-13 9783110259049 Title Computational Methods for Applied Inverse Problems Author Yanfei Wang, Anatoly G. Yagola, J.J. Cao, H. Cheng, Y.H. Dai, C.Z. Dong, G.S. Dulikravich, I.N. Egorov, L.J. Gelius Format Hardcover Year 2012 Pages 550 Publisher De Gruyter GE_Item_ID:144484753; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys
Price: 342.79 USD
Location: Fairfield, Ohio
End Time: 2025-01-06T04:50:14.000Z
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ISBN-13: 9783110259049
Book Title: Computational Methods for Applied Inverse Problems
Number of Pages: 550 Pages
Publication Name: Computational Methods for Applied Inverse Problems
Language: English
Publisher: DE Gruyter Gmbh, Walter
Subject: Differential Equations / General, Functional Analysis, Applied, Mathematical Analysis
Publication Year: 2012
Item Weight: 36.9 Oz
Type: Textbook
Item Length: 9.4 in
Author: Y. Bai
Subject Area: Mathematics
Series: Inverse and Ill-Posed Problems Ser.
Item Width: 6.7 in
Format: Hardcover