An Introduction to Inverse Problems with Applications

Antônio José Da Silva Neto

ISBN 10: 3642325564 / ISBN 13: 9783642325564

Published by Springer Berlin Heidelberg, Springer Berlin Heidelberg, 2012

About this Item

Druck auf Anfrage Neuware - Printed after ordering - Computational engineering/science uses a blend of applications, mathematical models and computations. Mathematical models require accurate approximations of their parameters, which are often viewed as solutions to inverse problems. Thus, the study of inverse problems is an integral part of computational engineering/science. This book presents several aspects of inverse problems along with needed prerequisite topics in numerical analysis and matrix algebra. If the reader has previously studied these prerequisites, then one can rapidly move to the inverse problems in chapters 4-8 on image restoration, thermal radiation, thermal characterization and heat transfer.'This text does provide a comprehensive introduction to inverse problems and fills a void in the literature'.Robert E White, Professor of Mathematics, North Carolina State University.

Seller Inventory # 9783642325564

Bibliographic Details

• Title: An Introduction to Inverse Problems with Applications
• Publisher: Springer Berlin Heidelberg, Springer Berlin Heidelberg
• Publication Date: 2012
• Language: English
• ISBN 10: 3642325564
• ISBN 13: 9783642325564
• Binding: Buch
• Condition: Neu
• Dimensions: 241W x 160H x 20D millimeters 241 millimeters width by 160 millimeters height by 20 millimeters depth
• Weight: 571 grams

About this title

Synopsis

Computational engineering/science uses a blend of applications, mathematical models and computations. Mathematical models require accurate approximations of their parameters, which are often viewed as solutions to inverse problems. Thus, the study of inverse problems is an integral part of computational engineering/science. This book presents several aspects of inverse problems along with needed prerequisite topics in numerical analysis and matrix algebra. If the reader has previously studied these prerequisites, then one can rapidly move to the inverse problems in chapters 4-8 on image restoration, thermal radiation, thermal characterization and heat transfer.

“This text does provide a comprehensive introduction to inverse problems and fills a void in the literature”.

Robert E White, Professor of Mathematics, North Carolina State University