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Elsevier Inverse Problem Theory - Data Fitting and Estimation

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Description

Inverse Problem Theory provides a necessary guide for physicists, geophysicists, and scientists working with the quantitative interpretation of experimental data. Rather than serving as a pure mathematics text, this book focuses on how information acquisition methods apply to the real world. It offers a comprehensive and up-to-date look at the techniques required for fitting experimental data and estimating model parameters. By unifying various methods into a single framework of Inverse Problem Theory, this resource helps researchers bridge the gap between mathematical theory and practical application. The text is designed to help professionals navigate the complexities of data analysis and model estimation in scientific research. Whether you are working in geophysics or physics, this Elsevier publication helps you understand how to turn experimental observations into reliable models.

Key Features

Provides a comprehensive description of methods for fitting experimental data to models.

Offers practical guidance for scientists on the quantitative interpretation of experimental data.

Unifies various estimation methods into a single, cohesive Inverse Problem Theory framework.

Focuses on real-world applications of information acquisition rather than just mathematical theory.

Designed specifically for professionals in fields such as physics and geophysics.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
05 April 1987
Listed Since
05 January 2007

Barcode

No barcode data available

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