Inverse Problem Theory and Methods for Model Parameter Estimation is popular PDF and ePub book, written by Albert Tarantola in 2005-01-01, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Inverse Problem Theory and Methods for Model Parameter Estimation can be Read Online from any device for your convenience.
Inverse Problem Theory and Methods for Model Parameter Estimation Book PDF Summary
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.
Detail Book of Inverse Problem Theory and Methods for Model Parameter Estimation PDF
- Author : Albert Tarantola
- Release : 01 January 2005
- Publisher : SIAM
- ISBN : 0898717922
- Genre : Mathematics
- Total Page : 349 pages
- Language : English
- PDF File Size : 14,9 Mb
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