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Parameter estimation and inverse problems

✍ Scribed by Aster, Richard C.; Borchers, Brian; Thurber, Clifford H

Publisher
Elsevier
Year
2019
Tongue
English
Leaves
392
Edition
3rd ed
Category
Library
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✦ Subjects

Estimation de parameΜ€tres.;ProbleΜ€mes inverses (équations différentielles).

πŸ“œ SIMILAR VOLUMES

Parameter Estimation and Inverse Problem
πŸ“ Parameter Estimation and Inverse Problems
✍ Richard C. Aster, Brian Borchers and Clifford H. Thurber (Eds.) πŸ“‚ Library πŸ“… 2005 πŸ› Elsevier Academic Press 🌐 English

<b>Parameter Estimation and Inverse Problems primarily serves as a textbook for advanced undergraduate and introductory graduate courses. Class notes have been developed and reside on the World Wide Web for faciliting use and feedback by teaching colleagues. The authors' treatment promotes an un

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✍ Richard C. Aster, Brian Borchers, Clifford H. Thurber πŸ“‚ Library πŸ“… 2011 πŸ› AP 🌐 English

Parameter Estimation and Inverse Problems, 2eΒ provides geoscience students and professionals with answers to common questions like how one can derive a physical model from a finite set of observations containing errors, and how one may determine the quality of such a model. This book takes on these

Parameter Estimation and Inverse Problem
πŸ“ Parameter Estimation and Inverse Problems (International Geophysics)
✍ Richard Aster, Brian Borchers, Clifford Thurber πŸ“‚ Library πŸ“… 2005 πŸ› Academic Press 🌐 English

This is one of my favorite books, it is a great reference for anyone working on signal processing algorithms for image reconstruction, & data estimation. It is well written, and very easy to understand, it has succint expressions with good intuitive explanations. It provides good examples that make

Parameter Estimation and Inverse Problem
πŸ“ Parameter Estimation and Inverse Problems, Second Edition
✍ Richard C. Aster, Brian Borchers, Clifford H. Thurber πŸ“‚ Library πŸ“… 2012 πŸ› Academic Press 🌐 English

Parameter Estimation and Inverse Problems, 2eΒ provides geoscience students and professionals with answers to common questions like how one can derive a physical model from a finite set of observations containing errors, and how one may determine the quality of such a model. This book takes on these