**Inverse Problem Theory and Methods for Model Parameter Estimation**

by Albert Tarantola

**Publisher**: SIAM 2004**ISBN/ASIN**: 0898715725**ISBN-13**: 9780898715729**Number of pages**: 358

**Description**:

The first part of the book deals exclusively with discrete inverse problems with a finite number of parameters, while the second part of the book deals with general inverse problems. The book is directed to all scientists, including applied mathematicians, facing the problem of quantitative interpretation of experimental data in fields such as physics, chemistry, biology, image processing, and information sciences. Considerable effort has been made so that this book can serve either as a reference manual for researchers or as a textbook in a course for undergraduate or graduate students.

Download or read it online for free here:

**Read online**

(online preview)

## Similar books

**Theory of Probability: A Historical Essay**

by

**Oscar Sheynin**-

**arXiv.org**

This book covers the history of probability up to Kolmogorov with essential additional coverage of statistics up to Fisher. The book covers an extremely wide field, and is targeted at the same readers as any other book on history of science.

(

**8028**views)

**Probability and Statistics Cookbook**

by

**Matthias Vallentin**

The cookbook contains a succinct representation of various topics in probability theory and statistics. It provides a comprehensive reference reduced to the mathematical essence, rather than aiming for elaborate explanations.

(

**19899**views)

**Probability and Mathematical Statistics**

by

**Prasanna Sahoo**-

**University of Louisville**

This book is an introduction to probability and mathematical statistics intended for students already having some elementary mathematical background. It is intended for a one-year junior or senior level undergraduate or beginning graduate course.

(

**12932**views)

**Bayesian Spectrum Analysis and Parameter Estimation**

by

**G. Larry Bretthorst**-

**Springer**

This work is a research document on the application of probability theory to the parameter estimation problem. The people who will be interested in this material are physicists, economists, and engineers who have to deal with data on a daily basis.

(

**18196**views)