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Numerical Methods for Inverse Problems
Numerical Methods for Inverse Problems
Knygos.lt klubas Knygos.lt nariams
240,37 €
-30%
Įprastai
343,39 €
  • Išsiųsime per 12–18 d.d.
This book studies methods to concretely address inverse problems. An inverse problem arises when the causes that produced a given effect must be determined or when one seeks to indirectly estimate the parameters of a physical system. The author uses practical examples to illustrate inverse problems in physical sciences. He presents the techniques and specific methods chosen to solve inverse problems in a general domain of application, choosing to focus on a small number of methods that can be u…
  • Leidėjas:
  • Metai: 2016
  • Puslapiai: 232
  • ISBN-10: 1848218184
  • ISBN-13: 9781848218185
  • Formatas: 15.6 x 23.4 x 1.4 cm, kieti viršeliai
  • Kalba: Anglų

Numerical Methods for Inverse Problems (el. knyga) (skaityta knyga) | knygos.lt

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This book studies methods to concretely address inverse problems. An inverse problem arises when the causes that produced a given effect must be determined or when one seeks to indirectly estimate the parameters of a physical system.

The author uses practical examples to illustrate inverse problems in physical sciences. He presents the techniques and specific methods chosen to solve inverse problems in a general domain of application, choosing to focus on a small number of methods that can be used in most applications.

This book is aimed at readers with a mathematical and scientific computing background. Despite this, it is a book with a practical perspective. The methods described are applicable, have been applied, and are often illustrated by numerical examples.

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  • Autorius: Michel Kern
  • Leidėjas:
  • Metai: 2016
  • Puslapiai: 232
  • ISBN-10: 1848218184
  • ISBN-13: 9781848218185
  • Formatas: 15.6 x 23.4 x 1.4 cm, kieti viršeliai
  • Kalba: Anglų

This book studies methods to concretely address inverse problems. An inverse problem arises when the causes that produced a given effect must be determined or when one seeks to indirectly estimate the parameters of a physical system.

The author uses practical examples to illustrate inverse problems in physical sciences. He presents the techniques and specific methods chosen to solve inverse problems in a general domain of application, choosing to focus on a small number of methods that can be used in most applications.

This book is aimed at readers with a mathematical and scientific computing background. Despite this, it is a book with a practical perspective. The methods described are applicable, have been applied, and are often illustrated by numerical examples.

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