74,99 €
inkl. MwSt.
Versandkostenfrei*
Versandfertig in 6-10 Tagen
  • Broschiertes Buch

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…mehr

Produktbeschreibung
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
Rezensionen
From the reviews:

"The authors of this textbook had a wide range of readers in mind. Their profiles encompass from honors undergraduate to graduate students and include mathematics or engineering researchers. ... it describes all different steps of a typical problem in Computational Sciences and Engineering ... . computer scientists as well as experts from the particular area of application are also among this book eventual readers." -- Carlos A. De Moura, Zentralblatt MATH, Vol. 1264, 2013