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Qualitative Methods in Inverse Scattering Theory: An Introduction

Fioralba Cakoni David Colton

Resumen/Descripción – provisto por la editorial

No disponible.

Palabras clave – provistas por la editorial

Analysis; Appl.Mathematics/Computational Methods of Engineering; Applications of Mathematics; Continuum Mechanics and Mechanics of Materials; Optics and Electrodynamics; Electrical Engineering

Disponibilidad
Institución detectada Año de publicación Navegá Descargá Solicitá
No detectada 2006 SpringerLink

Información

Tipo de recurso:

libros

ISBN impreso

978-3-540-28844-2

ISBN electrónico

978-3-540-31230-7

Editor responsable

Springer Nature

País de edición

Reino Unido

Fecha de publicación

Información sobre derechos de publicación

© Springer-Verlag Berlin Heidelberg 2006

Cobertura temática

Tabla de contenidos

Functional Analysis and Sobolev Spaces

Fioralba Cakoni; David Colton

is used to assess catastrophic risk and to improve risk management strategies (Grossi, Kunreuther and Windeler 2005: 27). The modeling of catastrophe risk is a complex process that depends on subjective and objective inputs related to the natural hazard. After the catastrophe model is built usually it is too complex to be evaluated analytically, especially if long term economic consequences are considered. In a a computer is used to evaluate a model numerically, and data are gathered in order to estimate the characteristics of the model (Law and Kelton 1991: 1). Usually catastrophe modeling implicitly incorporates simulations due to the sheer complexity of the system to be analyzed. Catastrophe modeling and simulation have advantages as well as limitations. Some of them are presented below.

Pp. 1-25

Ill-Posed Problems

Fioralba Cakoni; David Colton

is used to assess catastrophic risk and to improve risk management strategies (Grossi, Kunreuther and Windeler 2005: 27). The modeling of catastrophe risk is a complex process that depends on subjective and objective inputs related to the natural hazard. After the catastrophe model is built usually it is too complex to be evaluated analytically, especially if long term economic consequences are considered. In a a computer is used to evaluate a model numerically, and data are gathered in order to estimate the characteristics of the model (Law and Kelton 1991: 1). Usually catastrophe modeling implicitly incorporates simulations due to the sheer complexity of the system to be analyzed. Catastrophe modeling and simulation have advantages as well as limitations. Some of them are presented below.

Pp. 27-43

Scattering by an Imperfect Conductor

Fioralba Cakoni; David Colton

is used to assess catastrophic risk and to improve risk management strategies (Grossi, Kunreuther and Windeler 2005: 27). The modeling of catastrophe risk is a complex process that depends on subjective and objective inputs related to the natural hazard. After the catastrophe model is built usually it is too complex to be evaluated analytically, especially if long term economic consequences are considered. In a a computer is used to evaluate a model numerically, and data are gathered in order to estimate the characteristics of the model (Law and Kelton 1991: 1). Usually catastrophe modeling implicitly incorporates simulations due to the sheer complexity of the system to be analyzed. Catastrophe modeling and simulation have advantages as well as limitations. Some of them are presented below.

Pp. 45-60

The Inverse Scattering Problem for an Imperfect Conductor

Fioralba Cakoni; David Colton

is used to assess catastrophic risk and to improve risk management strategies (Grossi, Kunreuther and Windeler 2005: 27). The modeling of catastrophe risk is a complex process that depends on subjective and objective inputs related to the natural hazard. After the catastrophe model is built usually it is too complex to be evaluated analytically, especially if long term economic consequences are considered. In a a computer is used to evaluate a model numerically, and data are gathered in order to estimate the characteristics of the model (Law and Kelton 1991: 1). Usually catastrophe modeling implicitly incorporates simulations due to the sheer complexity of the system to be analyzed. Catastrophe modeling and simulation have advantages as well as limitations. Some of them are presented below.

Pp. 61-80

Scattering by an Orthotropic Medium

Fioralba Cakoni; David Colton

is used to assess catastrophic risk and to improve risk management strategies (Grossi, Kunreuther and Windeler 2005: 27). The modeling of catastrophe risk is a complex process that depends on subjective and objective inputs related to the natural hazard. After the catastrophe model is built usually it is too complex to be evaluated analytically, especially if long term economic consequences are considered. In a a computer is used to evaluate a model numerically, and data are gathered in order to estimate the characteristics of the model (Law and Kelton 1991: 1). Usually catastrophe modeling implicitly incorporates simulations due to the sheer complexity of the system to be analyzed. Catastrophe modeling and simulation have advantages as well as limitations. Some of them are presented below.

Pp. 81-104

The Inverse Scattering Problem for an Orthotropic Medium

Fioralba Cakoni; David Colton

is used to assess catastrophic risk and to improve risk management strategies (Grossi, Kunreuther and Windeler 2005: 27). The modeling of catastrophe risk is a complex process that depends on subjective and objective inputs related to the natural hazard. After the catastrophe model is built usually it is too complex to be evaluated analytically, especially if long term economic consequences are considered. In a a computer is used to evaluate a model numerically, and data are gathered in order to estimate the characteristics of the model (Law and Kelton 1991: 1). Usually catastrophe modeling implicitly incorporates simulations due to the sheer complexity of the system to be analyzed. Catastrophe modeling and simulation have advantages as well as limitations. Some of them are presented below.

Pp. 105-129

The Factorization Method

Fioralba Cakoni; David Colton

is used to assess catastrophic risk and to improve risk management strategies (Grossi, Kunreuther and Windeler 2005: 27). The modeling of catastrophe risk is a complex process that depends on subjective and objective inputs related to the natural hazard. After the catastrophe model is built usually it is too complex to be evaluated analytically, especially if long term economic consequences are considered. In a a computer is used to evaluate a model numerically, and data are gathered in order to estimate the characteristics of the model (Law and Kelton 1991: 1). Usually catastrophe modeling implicitly incorporates simulations due to the sheer complexity of the system to be analyzed. Catastrophe modeling and simulation have advantages as well as limitations. Some of them are presented below.

Pp. 131-152

Mixed Boundary Value Problems

Fioralba Cakoni; David Colton

is used to assess catastrophic risk and to improve risk management strategies (Grossi, Kunreuther and Windeler 2005: 27). The modeling of catastrophe risk is a complex process that depends on subjective and objective inputs related to the natural hazard. After the catastrophe model is built usually it is too complex to be evaluated analytically, especially if long term economic consequences are considered. In a a computer is used to evaluate a model numerically, and data are gathered in order to estimate the characteristics of the model (Law and Kelton 1991: 1). Usually catastrophe modeling implicitly incorporates simulations due to the sheer complexity of the system to be analyzed. Catastrophe modeling and simulation have advantages as well as limitations. Some of them are presented below.

Pp. 153-212

A Glimpse at Maxwell’s Equations

Fioralba Cakoni; David Colton

is used to assess catastrophic risk and to improve risk management strategies (Grossi, Kunreuther and Windeler 2005: 27). The modeling of catastrophe risk is a complex process that depends on subjective and objective inputs related to the natural hazard. After the catastrophe model is built usually it is too complex to be evaluated analytically, especially if long term economic consequences are considered. In a a computer is used to evaluate a model numerically, and data are gathered in order to estimate the characteristics of the model (Law and Kelton 1991: 1). Usually catastrophe modeling implicitly incorporates simulations due to the sheer complexity of the system to be analyzed. Catastrophe modeling and simulation have advantages as well as limitations. Some of them are presented below.

Pp. 213-218