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Elsevier Inverse Problem Theory - Data Fitting & Model Parameter Estimation

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Description

Inverse Problem Theory is an essential reference for physicists, geophysicists and scientists who need to interpret experimental data quantitatively. This comprehensive Elsevier guide bridges theory and practice, presenting unified methods for fitting experimental data and estimating model parameters without overwhelming readers with abstract mathematics. The book systematically explains how information acquisition methods apply to real-world problems, making complex inverse problem techniques accessible to practitioners. Whether you work in geophysics, physics or applied sciences, this text provides the practical frameworks and mathematical foundations necessary for solving inverse problems effectively. It unifies disparate approaches into coherent Inverse Problem Theory, serving as both a learning tool and a reference for professionals tackling data interpretation challenges in their research.

Key Features

Comprehensive guide to inverse problem methods written specifically for physicists and geophysicists applying quantitative data interpretation.

Unified framework for fitting experimental data and estimating model parameters across multiple scientific disciplines.

Practical explanations of mathematical methods that demonstrate how information acquisition techniques work in real-world applications.

Published by Elsevier Science, a trusted academic publisher with extensive expertise in scientific and technical literature.

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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