{"product_id":"9781119989240","title":"Deterministic and Stochastic Modeling in Computational Electromagnetics Integral and Differential Equation Approaches","description":"\u003ch3\u003eIEEE Press Series on Electromagnetic Wave Theory\u003c\/h3\u003e\u003ch1\u003eDeterministic and Stochastic Modeling in Computational Electromagnetics\u003c\/h1\u003e\u003ch2\u003eIntegral and Differential Equation Approaches\u003c\/h2\u003e\u003ch3\u003eDragan Poljak | Anna Susnjara | Douglas H. Werner\u003c\/h3\u003e\u003cdiv\u003e\u003cb\u003eScience \/ Waves \u0026amp; Wave Mechanics\u003c\/b\u003e\u003c\/div\u003e\u003cbr\u003e\u003cdiv\u003e\n\u003cb\u003eDeterministic and Stochastic Modeling in Computational Electromagnetics\u003c\/b\u003e \u003cp\u003e\u003cb\u003eHelp protect your network with this important reference work on cyber security \u003c\/b\u003e \u003c\/p\u003e\n\u003cp\u003eDeterministic 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. \u003c\/p\u003e\n\u003cp\u003e\u003ci\u003eDeterministic and Stochastic Modeling in Computational Electromagnetics\u003c\/i\u003e 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. \u003c\/p\u003e\n\u003cp\u003eReaders will also find: \u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eA range of specific examples demonstrating the efficiency of deterministic–stochastic modeling\u003c\/li\u003e \u003cli\u003eComputational examples of successful applications including ground penetrating radars (GPR), radiation from 5G systems, transcranial magnetic and electric stimulation (TMS and TES), and more\u003c\/li\u003e \u003cli\u003eIntroduction to fundamental principles in field theory to ground the discussion of computational modeling\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003e\u003ci\u003eDeterministic and Stochastic Modeling in Computational Electromagnetics\u003c\/i\u003e is a valuable reference for researchers, including graduate and undergraduate students, in computational electromagnetics, as well as to multidisciplinary researchers, engineers, physicists, and mathematicians.\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e  \u003cp\u003e\u003cb\u003eDRAGAN POLJAK, P\u003csmall\u003eH\u003c\/small\u003e.D.,\u003c\/b\u003e 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. \u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eANNA ŠUŠNJARA, P\u003csmall\u003eH\u003c\/small\u003e.D.,\u003c\/b\u003e 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. \u003c\/p\u003e\n\u003c\/div\u003e\u003cbr\u003e\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublication Date: \u003c\/td\u003e\n\u003ctd\u003e07 December 2023\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublisher: \u003c\/td\u003e\n\u003ctd\u003eWiley\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eImprint: \u003c\/td\u003e\n\u003ctd\u003eWiley-IEEE Press\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eISBN-13: \u003c\/td\u003e\n\u003ctd\u003e9781119989240\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFormat: \u003c\/td\u003e\n\u003ctd\u003eHardback\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePage Count: \u003c\/td\u003e\n\u003ctd\u003e576\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWeight (oz): \u003c\/td\u003e\n\u003ctd\u003e36.32\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":44310454304908,"sku":"9781119989240","price":129.56,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9781119989240_62576c61-8a02-4779-b721-ec890e1efcd5.jpg?v=1780157462","url":"https:\/\/fh90cf-fv.myshopify.com\/products\/9781119989240","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}