Language: English
Published by Institution of Engineering and Technology, 2026
ISBN 10: 1837245371 ISBN 13: 9781837245376
Seller: PBShop.store US, Wood Dale, IL, U.S.A.
HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.
Language: English
Published by Institution of Engineering and Technology, 2026
ISBN 10: 1837245371 ISBN 13: 9781837245376
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
£ 129.25
Quantity: Over 20 available
Add to basketHRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.
Seller: Revaluation Books, Exeter, United Kingdom
Hardcover. Condition: Brand New. 350 pages. 9.22x6.15x9.21 inches. In Stock.
Language: English
Published by Institution Of Engineering & Technology Feb 2026, 2026
ISBN 10: 1837245371 ISBN 13: 9781837245376
Seller: AHA-BUCH GmbH, Einbeck, Germany
Buch. Condition: Neu. Neuware - Computational electromagnetics (CEM) involves modeling the interaction of electromagnetic fields with physical objects and their environment, such as the radiation emitted by antennas and the fields scattered from radar targets.
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
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Language: English
Published by Institution of Engineering and Technology, Stevenage, 2026
ISBN 10: 1837245371 ISBN 13: 9781837245376
Seller: CitiRetail, Stevenage, United Kingdom
Hardcover. Condition: new. Hardcover. Computational electromagnetics (CEM) involves modeling the interaction of electromagnetic fields with physical objects and their environment, such as the radiation emitted by antennas and the fields scattered from radar targets.First-principles or generating models (GMs) based on Maxwell's equations, provide a microscopic, spatial description of the charge and current distributions that normally require several samples per wavelength. Model-based parameter estimation (MBPE) uses a macroscopic, reduced-order, physically based fitting model (FM) to adaptively sample GM results while minimizing the number needed to quantify various EM observables such as frequency responses, far-field radiation patterns, interaction effects, etc. The FMs can reduce the needed GM sampling cost by a factor of 10 or more while yielding a continuous result of needed observables to avoid missing important details. The FMs can also indicate the numerical uncertainty of such quantities from measured as well as computed data.After an introduction to the subject and its mathematical background, subsequent chapters cover system identification, MBPE techniques and the various roles of Prony's methods as FMs in CEM. Other related topics that are covered include derivative sampling, radiation pattern synthesis and estimation, and assorted other applications.The book is aimed at the computational electromagnetics community and those working in applied sciences with complex models such as acoustics, mechanical structures, geo-physics and physics. Computational electromagnetics models the interaction of electromagnetic fields with physical objects and their environment. This book seeks to construct a model, typically based on solutions to Maxwell's equations, and then use optimization to minimise the discrepancy between modelled and observed data. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.