Approximate Global Convergence and Adaptivity for Coefficient Inverse Problems

Approximate Global Convergence and Adaptivity for Coefficient Inverse Problems is the first book in which two new concepts of numerical solutions of multidimensional Coefficient Inverse Problems (CIPs) for a hyperbolic Partial Differential Equation (PDE) are presented: Approximate Global Convergence...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Beilina, Larisa (Autor), Klibanov, Michael Victor (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Springer New York : Imprint: Springer, 2012.
Edición:1st ed. 2012.
Temas:
Differential equations.
Mathematical physics.
Engineering mathematics.
Engineering-Data processing.
Numerical analysis.
Global analysis (Mathematics).
Manifolds (Mathematics).
Differential Equations.
Theoretical, Mathematical and Computational Physics.
Mathematical and Computational Engineering Applications.
Numerical Analysis.
Global Analysis and Analysis on Manifolds.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Two Central Questions of This Book and an Introduction to the Theories of Ill-Posed and Coefficient Inverse Problems
  • Approximately Globally Convergent Numerical Method
  • Numerical Implementation of the Approximately Globally Convergent Method
  • The Adaptive Finite Element Technique and its Synthesis with the Approximately Globally Convergent Numerical Method
  • Blind Experimental Data
  • Backscattering Data.

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