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Springer Approximate Global Convergence & Adaptivity - Coefficient Inverse Problems

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Description

Approximate Global Convergence and Adaptivity for Coefficient Inverse Problems is the first book to present two groundbreaking concepts for solving multidimensional Coefficient Inverse Problems (CIPs) in hyperbolic Partial Differential Equations. This comprehensive reference addresses the critical challenge of obtaining accurate approximations for exact solutions without prior knowledge of a small neighbourhood around the solution, then systematically refining those approximations. Published by Springer, this technical work combines theoretical foundations with practical adaptive finite element methods, making it an essential resource for mathematicians, engineers, and researchers working with inverse problems in PDE systems. The book bridges the gap between global convergence theory and computational implementation, providing both conceptual understanding and algorithmic approaches for tackling complex coefficient determination problems.

Key Features

Introduces approximate global convergence methods for multidimensional coefficient inverse problems in hyperbolic PDEs.

Presents adaptive finite element method techniques for refining numerical solutions and improving approximation accuracy.

Addresses fundamental questions about obtaining good approximations without prior knowledge of solution neighbourhoods.

Published by Springer as a comprehensive reference for coefficient inverse problem theory and numerical methods.

Combines theoretical concepts with practical computational strategies for solving complex inverse problems.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
09 March 2012
Listed Since
14 September 2010

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No barcode data available

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