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
"synopsis" may belong to another edition of this title.
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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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 268 pp. Englisch. Seller Inventory # 9783642325564
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Comprehensive introduction to inverse problemsPresents several aspects of inverse problems along with needed prerequisite topics in numerical analysis and matrix algebraPresents practical inverse problems on image restoration, thermal radia. Seller Inventory # 5056970
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Buch. Condition: Neu. Neuware -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 UniversitySpringer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 268 pp. Englisch. Seller Inventory # 9783642325564
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