An Introduction to Inverse Problems with Applications
Francisco Duarte Moura Neto
Sold by Revaluation Books, Exeter, United Kingdom
AbeBooks Seller since January 6, 2003
New - Soft cover
Condition: Brand New
Quantity: 1 available
Add to basketSold by Revaluation Books, Exeter, United Kingdom
AbeBooks Seller since January 6, 2003
Condition: Brand New
Quantity: 1 available
Add to basket2013 edition. 268 pages. 9.00x6.00x0.75 inches. In Stock.
Seller Inventory # __3642441947
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
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
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