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Inverse problem theory and methods for model parameter estimation

Albert Tarantola (Society for Industrial and Applied Mathematics, 2005)
 Abstrak
While the prediction of observations is a forward problem, the use of actual observations to infer the properties of a model is an inverse problem. Inverse problems are difficult because they may not have a unique solution. The description of uncertainties plays a central role in the theory, which is based on probability theory. This book proposes a general approach that is valid for linear as well as for nonlinear problems. The philosophy is essentially probabilistic and allows the reader to understand the basic difficulties appearing in the resolution of inverse problems. The book attempts to explain how a method of acquisition of information can be applied to actual real-world problems, and many of the arguments are heuristic.
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 Inverse Problem Theory and Methods for Model Parameter Estimation.pdf ::
 Metadata
No. Panggil : e20443085
Nama orang :
Subjek :
Penerbitan : Philadelphia : Society for Industrial and Applied Mathematics, 2005
Sumber Pengatalogan LibUI eng rda
Tipe Konten text
Tipe Media computer
Tipe Carrier online resource
Deskripsi Fisik xii, 342 pages : illustration
Tautan http://portal.igpublish.com/iglibrary/search/SIAMB0000067.main.html?5
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No. Panggil No. Barkod Ketersediaan
e20443085 02-17-935098079 TERSEDIA
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