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Springer Statistical and Computational Inverse Problems Book

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Description

Statistical and Computational Inverse Problems, part of the Applied Mathematical Sciences series (160), provides essential material for postgraduate students in applied mathematics, engineering, and physics. This Springer publication is designed for those with a firm background in mathematics looking to explore computational and statistical aspects of inversion methods. The first four chapters serve as a foundational resource for a first course on inverse problems. For students already familiar with classical inversion methods, Chapters 3 and 4 offer specialized instruction on statistical and nonstationary inversion methods. This text bridges the gap between classical literature and modern numerical approaches, making it a valuable addition to any academic or professional mathematical library.

Key Features

This Springer textbook is part of the Applied Mathematical Sciences series, volume 160.

The content includes 102 figures to support the mathematical concepts presented.

Chapters 1 through 4 provide material suitable for a first course on inverse problems.

Specialized sections in Chapters 3 and 4 cover statistical and nonstationary inversion methods.

The book is designed for postgraduate students in applied mathematics, engineering, and physics.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
01 December 2004
Listed Since
14 December 2006

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No barcode data available

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