**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:

**Download link**

(20MB, PDF)

## Similar books

**A Minimum of Stochastics for Scientists**

by

**Noel Corngold**-

**Caltech**

The book introduces students to the ideas and attitudes that underlie the statistical modeling of physical, chemical, biological systems. The text contains material the author have tried to convey to an audience composed mostly of graduate students.

(

**6894**views)

**Lectures on Stochastic Analysis**

by

**Thomas G. Kurtz**-

**University of Wisconsin**

Covered topics: stochastic integrals with respect to general semimartingales, stochastic differential equations based on these integrals, integration with respect to Poisson measures, stochastic differential equations for general Markov processes.

(

**8575**views)

**CK-12 Basic Probability and Statistics: A Short Course**

by

**Brenda Meery**-

**CK-12.org**

CK-12 Foundation's Basic Probability and Statisticsâ€“ A Short Course is an introduction to theoretical probability and data organization. Students learn about events, conditions, random variables, and graphs and tables that allow them to manage data.

(

**14185**views)

**Markov Chains and Mixing Times**

by

**D. A. Levin, Y. Peres, E. L. Wilmer**-

**American Mathematical Society**

An introduction to the modern approach to the theory of Markov chains. The main goal of this approach is to determine the rate of convergence of a Markov chain to the stationary distribution as a function of the size and geometry of the state space.

(

**8259**views)