It introduces readers to Classical and Bayesian approaches to linear and nonlinear problems, with particular attention to computational, mathematical, and statistical issues related to their application to geophysical problems. Four appendices review foundational concepts in linear algebra, statistics, vector calculus, and notation. Pedagogy includes hundreds of highlighted equations, examples, and definitions; introductory chapter synopses; end-of-chapter exercises, both programming and theoretical; and suggestions for further reading.
The text is designed to be accessible to graduate students and professionals in physical sciences without an extensive mathematical background.
It introduces readers to Classical and Bayesian approaches to linear and nonlinear problems, with particular attention to computational, mathematical, and statistical issues related to their application to geophysical problems. Four appendices review foundational concepts in linear algebra, statistics, vector calculus, and notation. Pedagogy includes hundreds of highlighted equations, examples, and definitions; introductory chapter synopses; end-of-chapter exercises, both programming and theoretical; and suggestions for further reading.
The text is designed to be accessible to graduate students and professionals in physical sciences without an extensive mathematical background.

Parameter Estimation and Inverse Problems
404
Parameter Estimation and Inverse Problems
404Product Details
ISBN-13: | 9780128134238 |
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Publisher: | Elsevier Science |
Publication date: | 10/16/2018 |
Sold by: | Barnes & Noble |
Format: | eBook |
Pages: | 404 |
File size: | 22 MB |
Note: | This product may take a few minutes to download. |