Inverse Problems for Partial Differential Equations: v.127 (Applied Mathematical Sciences) - Tapa dura

Libro 78 de 94: Applied Mathematical Sciences

Isakov, Victor

 
9780387982564: Inverse Problems for Partial Differential Equations: v.127 (Applied Mathematical Sciences)

Sinopsis

This book is a comprehensive description of the current theoretical and numerical aspects of inverse problems in partial differential equations. Applications include recovery of inclusions from anomalies of their gravity fields, reconstruction of the interior of the human body from exterior electrical, ultrasonic, and magnetic measurement. The reconstruction of the interior structural parameters of machines and of the underground are also discussed together with further scientific and engineering applications. By presenting this data in a readable and informative manner, the book introduces both scientific and engineering researchers and graduate students to significant work done in this area in recent years, relating it to broader themes in mathematical analysis.

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Reseña del editor

This book is a comprehensive description of the current theoretical and numerical aspects of inverse problems in partial differential equations. Applications include recovery of inclusions from anomalies of their gravity fields, reconstruction of the interior of the human body from exterior electrical, ultrasonic, and magnetic measurement. The reconstruction of the interior structural parameters of machines and of the underground are also discussed together with further scientific and engineering applications. By presenting this data in a readable and informative manner, the book introduces both scientific and engineering researchers and graduate students to significant work done in this area in recent years, relating it to broader themes in mathematical analysis.

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Otras ediciones populares con el mismo título

9783319516578: Inverse Problems for Partial Differential Equations: 127 (Applied Mathematical Sciences)

Edición Destacada

ISBN 10:  3319516574 ISBN 13:  9783319516578
Editorial: Springer, 2017
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