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Deterministic and Stochastic Modeling in Computational Electromagnetics: Integral and Differential Equation Approaches by Dragan Poljak (University of Split, Croatia) at Abbey's Bookshop,
Deterministic and Stochastic Modeling in Computational Electromagnetics: Integral and Differential Equation...
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Dragan Poljak (University of Split, Croatia) Anna Susnjara (University of Split, Croatia)

Deterministic and Stochastic Modeling in Computational Electromagnetics

Integral and Differential Equation Approaches

Dragan Poljak (University of Split, Croatia),  Anna Susnjara (University of Split, Croatia),  Douglas H. Werner (Pennsylvania State University)

$232.95

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English
Wiley-IEEE Press
14 November 2023
Electronics & communications engineering
Series: IEEE Press Series on Electromagnetic Wave Theory
Deterministic and Stochastic Modeling in Computational Electromagnetics Help protect your network with this important reference work on cyber security
Deterministic computational models are those for which all inputs are precisely known, whereas stochastic modeling reflects uncertainty or randomness in one or more of the data inputs. Many problems in computational engineering therefore require both deterministic and stochastic modeling to be used in parallel, allowing for different degrees of confidence and incorporating datasets of different kinds. In particular, non-intrusive stochastic methods can be easily combined with widely used deterministic approaches, enabling this more robust form of data analysis to be applied to a range of computational challenges.

Deterministic and Stochastic Modeling in Computational Electromagnetics provides a rare treatment of parallel deterministic–stochastic computational modeling and its beneficial applications. Unlike other works of its kind, which generally treat deterministic and stochastic modeling in isolation from one another, it aims to demonstrate the usefulness of a combined approach and present particular use-cases in which such an approach is clearly required. It offers a non-intrusive stochastic approach which can be incorporated with minimal effort into virtually all existing computational models.

Readers will also find:

A range of specific examples demonstrating the efficiency of deterministic–stochastic modeling Computational examples of successful applications including ground penetrating radars (GPR), radiation from 5G systems, transcranial magnetic and electric stimulation (TMS and TES), and more Introduction to fundamental principles in field theory to ground the discussion of computational modeling

Deterministic and Stochastic Modeling in Computational Electromagnetics is a valuable reference for researchers, including graduate and undergraduate students, in computational electromagnetics, as well as to multidisciplinary researchers, engineers, physicists, and mathematicians.
By:   , ,
Series edited by:  
Imprint:   Wiley-IEEE Press
Country of Publication:   United States
Weight:   1.030kg
ISBN:   9781119989240
ISBN 10:   1119989248
Series:   IEEE Press Series on Electromagnetic Wave Theory
Pages:   576
Publication Date:  
Audience:   Professional and scholarly ,  Undergraduate
Format:   Hardback
Publisher's Status:   Active

DRAGAN POLJAK, PH.D., is Professor in the Department of Electronics and Computing Technology, University of Split, Croatia. He is a Senior Member of the IEEE and author of three books and more than 150 articles on subjects related to computational electromagnetics. ANNA ŠUŠNJARA, PH.D., is a Postdoctoral Researcher in the Department of Electronics and Computing Technology, University of Split, Croatia. She is a member of the IEEE and has authored or co-authored more than 40 journal and conference papers on subjects related to computational electromagnetics.

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