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Deterministic and stochastic modeling in computational electromagnetics :integral and differential equation approaches /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Deterministic and stochastic modeling in computational electromagnetics :Dragan Poljak and Anna Šušnjara.
其他題名:	integral and differential equation approaches /
作者:	Poljak, D.
其他作者:	Šušnjara, Anna,
出版者:	Hoboken, New Jersey :John Wiley & Sons, Inc.,c2024.
面頁冊數:	xviii, 551 p. :ill. ;24 cm.
標題:	ElectromagnetismMathematical models.
ISBN:	9781119989240 :

Deterministic and stochastic modeling in computational electromagnetics :integral and differential equation approaches /
Poljak, D.

Deterministic and stochastic modeling in computational electromagnetics :integral and differential equation approaches /Dragan Poljak and Anna Šušnjara. - Hoboken, New Jersey :John Wiley & Sons, Inc.,c2024. - xviii, 551 p. :ill. ;24 cm. - IEEE Press series on electromagnetic wave theory . - IEEE Press series on electromagnetic wave theory..

Includes bibliographical references and index.

"Most of the computational models used in engineering electromagnetics are deterministic in nature, which means that one deals with an exact set of input data in a sense of either material properties or geometry. However, there are problems with an uncertainty in the input data set as some system properties are partly or entirely unknown. Therefore, a stochastic approach is required to determine the relevant statistics about the given responses, thus providing the assessment of the related confidence intervals in the set of numerical results obtained as an output of a given deterministic model. Of particular interest are definitely non-intrusive stochastic approaches that could be easily coupled with widely used well-established deterministic models, just by efficiently postprocessing numerical results arising from deterministic models."--

ISBN: 9781119989240 :NT$3903

LCCN: 2023037537 Subjects--Topical Terms:

606266
Electromagnetism
--Mathematical models.

LC Class. No.: QC760 / P769 2024

Dewey Class. No.: 537.01/515

Deterministic and stochastic modeling in computational electromagnetics :integral and differential equation approaches /
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245 1 0 $a Deterministic and stochastic modeling in computational electromagnetics : $b integral and differential equation approaches / $c Dragan Poljak and Anna Šušnjara.
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520 $a "Most of the computational models used in engineering electromagnetics are deterministic in nature, which means that one deals with an exact set of input data in a sense of either material properties or geometry. However, there are problems with an uncertainty in the input data set as some system properties are partly or entirely unknown. Therefore, a stochastic approach is required to determine the relevant statistics about the given responses, thus providing the assessment of the related confidence intervals in the set of numerical results obtained as an output of a given deterministic model. Of particular interest are definitely non-intrusive stochastic approaches that could be easily coupled with widely used well-established deterministic models, just by efficiently postprocessing numerical results arising from deterministic models."-- $c Provided by publisher.
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