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020 _a9789811000898
040 _aES-MaUEC
050 4 _aQC665.S3
_bS434 2016 EB
082 0 4 _a621.3
100 1 _aSeagar, Andrew.
_9100737
_0Local
245 1 0 _aApplication of Geometric Algebra to Electromagnetic Scattering :
_bThe Clifford-Cauchy-Dirac Technique
_cby Andrew Seagar
250 _a1st ed.
260 _aSingapore
_bSpringer
_c2016
300 _a1 recurso en línea (XXII, 179 p.) 53 il. col.
336 _aTexto (visual)
_btxt
_2rdacontent
337 _aelectrónico
_bc
_2rdamedia
338 _arecurso electrónico
_bcr
_2rdacarrier
338 _aonline resource
_bcr
_2rdacarrier
505 0 _aPart I. Preparation: History -- Notation -- Geometry -- Space and Time -- Part II. Formulation: Scattering -- Cauchy Integrals -- Hardy Projections -- Construction of Solutions -- Part III. Demonstration: Examples -- Part IV. Contemplation: Perspectives -- Appendices.
520 _aThis work presents the Clifford-Cauchy-Dirac (CCD) technique for solving problems involving the scattering of electromagnetic radiation from materials of all kinds. It allows anyone who is interested to master techniques that lead to simpler and more efficient solutions to problems of electromagnetic scattering than are currently in use. The technique is formulated in terms of the Cauchy kernel, single integrals, Clifford algebra and a whole-field approach. This is in contrast to many conventional techniques that are formulated in terms of Green's functions, double integrals, vector calculus and the combined field integral equation (CFIE). Whereas these conventional techniques lead to an implementation using the method of moments (MoM), the CCD technique is implemented as alternating projections onto convex sets in a Banach space. The ultimate outcome is an integral formulation that lends itself to a more direct and efficient solution than conventionally is the case, and applies without exception to all types of materials. On any particular machine, it results in either a faster solution for a given problem or the ability to solve problems of greater complexity. The Clifford-Cauchy-Dirac technique offers very real and significant advantages in uniformity, complexity, speed, storage, stability, consistency and accuracy.
942 _2lcc
_cLE
988 0 0 _aEBOOK, EBSPRINGER
650 7 _aAnálisis numérico
_0comprobar BNE19900960117
_2embne
_9405025
650 0 7 _aMatemáticas aplicadas
_0LocalX
_2embne
_9145503
650 0 7 _aIngeniería
_vCongresos y asambleas
_0LocalX
_2embne
_9670301
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://link.springer.com/book/10.1007/978-981-10-0089-8
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
901 _ai9789811000898
907 _a.b12960500
_b10-10-17
_c21-11-16
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