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Electromagnetic Field Computation by Network Methods (Hardcover, 2009 ed.) Loot Price: R3,002
Discovery Miles 30 020
Electromagnetic Field Computation by Network Methods (Hardcover, 2009 ed.): Leopold B. Felsen, Mauro Mongiardo, Peter Russer

Electromagnetic Field Computation by Network Methods (Hardcover, 2009 ed.)

Leopold B. Felsen, Mauro Mongiardo, Peter Russer

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Loot Price R3,002 Discovery Miles 30 020 | Repayment Terms: R281 pm x 12*

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In this monograph, the authors propose a systematic and rigorous treatment of electromagnetic field representations in complex structures. The architecture suggested in this book accommodates use of different numerical methods as well as alternative Green's function representations in each of the subdomains resulting from a partitioning of the overall problem. The subdomains are regions of space where electromagnetic energy is stored and are described in terms of equivalent circuit representations based either on lumped element circuits or on transmission lines. Connection networks connect the subcircuits representing the subdomains. The connection networks are lossless, don't store energy and represent the overall problem topology. This is similar to what is done in circuit theory and permits a phrasing of the solution of EM field problems in complex structures by Network-oriented methods.

General

Imprint: Springer-Verlag
Country of origin: Germany
Release date: March 2009
First published: 2009
Authors: Leopold B. Felsen • Mauro Mongiardo • Peter Russer
Dimensions: 235 x 155 x 14mm (L x W x T)
Format: Hardcover
Pages: 214
Edition: 2009 ed.
ISBN-13: 978-3-540-93945-0
Categories: Books > Science & Mathematics > Physics > Optics (light)
Books > Professional & Technical > Technology: general issues > Engineering: general
Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers
Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Circuits & components
Books > Computing & IT > Applications of computing > Artificial intelligence > General
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LSN: 3-540-93945-8
Barcode: 9783540939450

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