Deterministic and Stochastic Modeling in Computational Electromagnetics
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"Deterministic and Stochastic Modeling in Computational Electromagnetics" by Dragan Poljak, Anna Susnjara is a physics book focused on Devices & Sensors. Best for students, educators, and scientifically curious readers.
"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."--
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"Deterministic and Stochastic Modeling in Computational Electromagnetics" by Dragan Poljak, Anna Susnjara is a physics book focused on Devices & Sensors. Best for students, educators, and scientifically curious readers.
Topic: Devices & Sensors
Author: Dragan Poljak, Anna Susnjara
Who this is for:
- Physics students
- Science-minded readers
- Readers building technical understanding
Why this book matters: It provides structured coverage of physics concepts in a way that supports deeper understanding and continued study.
"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."--
| Author | Dragan Poljak, Anna Susnjara |
| Publisher | John Wiley & Sons |
| Published | 2023-12-07 |
| ISBN-13 | 9781119989240 |
| Binding | Hardcover |
| Pages | 580 |
| Language | English |
| Subjects | Science |
| Topic | Devices & Sensors |
| Series | IEEE Press Electromagnetic Wave Theory |
Format: Hardcover
Length: 580 pages
Language: English
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