Mapped Vector Basis Functions for Electromagnetic Integral Equations (Synthesis Lectures on Computat 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024


Mapped Vector Basis Functions for Electromagnetic Integral Equations (Synthesis Lectures on Computat

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Peterson, Andrew F. 作者
Morgan & Claypool Publishers
譯者
2006-02-01 出版日期
124 頁數
USD 45.00 價格
Paperback
叢書系列
9781598290127 圖書編碼

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Mapped Vector Basis Functions for Electromagnetic Integral Equations (Synthesis Lectures on Computat 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2024

Mapped Vector Basis Functions for Electromagnetic Integral Equations (Synthesis Lectures on Computat 在線電子書 epub 下載 pdf 下載 mobi 下載 txt 下載 2024

Mapped Vector Basis Functions for Electromagnetic Integral Equations (Synthesis Lectures on Computat 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024



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Mapped Vector Basis Functions for Electromagnetic Integral Equations (Synthesis Lectures on Computat 在線電子書 著者簡介


Mapped Vector Basis Functions for Electromagnetic Integral Equations (Synthesis Lectures on Computat 在線電子書 pdf 下載 txt下載 epub 下載 mobi 在線電子書下載

Mapped Vector Basis Functions for Electromagnetic Integral Equations (Synthesis Lectures on Computat 在線電子書 圖書描述

The method-of-moments solution of the electric field and magnetic field integral equations (EFIE and MFIE) is extended to conducting objects modeled with curved cells. These techniques are important for electromagnetic scattering, antenna, radar signature, and wireless communication applications. Vector basis functions of the divergence-conforming and curl-conforming types are explained, and specific interpolatory and hierarchical basis functions are reviewed. Procedures for mapping these basis functions from a reference domain to a curved cell, while preserving the desired continuity properties on curved cells, are discussed in detail. For illustration, results are presented for examples that employ divergence-conforming basis functions with the EFIE and curl-conforming basis functions with the MFIE. The intended audience includes electromagnetic engineers with some previous familiarity with numerical techniques.

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