Suchergebnisse - "multilevel matrix decomposition algorithm"
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A multilevel matrix decomposition algorithm for analyzing scattering from large structures
ISSN: 0018-926X, 1558-2221Veröffentlicht: IEEE 01.08.1996Veröffentlicht in IEEE transactions on antennas and propagation (01.08.1996)“… A multilevel algorithm is presented for analyzing scattering from electrically large surfaces. The algorithm accelerates the iterative solution of integral …”
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A Butterfly-Based Direct Integral-Equation Solver Using Hierarchical LU Factorization for Analyzing Scattering From Electrically Large Conducting Objects
ISSN: 0018-926X, 1558-2221Veröffentlicht: IEEE 01.09.2017Veröffentlicht in IEEE transactions on antennas and propagation (01.09.2017)“… A butterfly-based direct combined-field integral-equation (CFIE) solver for analyzing scattering from electrically large, perfect electrically conducting …”
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Application of the multilevel matrix decomposition algorithm to the frequency analysis of large microstrip antenna arrays
ISSN: 0018-9464, 1941-0069Veröffentlicht: New York, NY IEEE 01.03.2002Veröffentlicht in IEEE transactions on magnetics (01.03.2002)“… We propose the multilevel matrix decomposition algorithm (MLMDA) to carry out this purpose efficiently …”
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Multilevel matrix decomposition algorithm for analysis of electrically large electromagnetic problems in 3-D
ISSN: 0895-2477, 1098-2760Veröffentlicht: New York John Wiley & Sons, Inc 05.08.1999Veröffentlicht in Microwave and optical technology letters (05.08.1999)“… The multilevel matrix decomposition algorithm (MLMDA) has been implemented in 3‐D for the solution of large electromagnetic problems …”
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An HSS Matrix-Inspired Butterfly-Based Direct Solver for Analyzing Scattering From Two-Dimensional Objects
ISSN: 1536-1225, 1548-5757Veröffentlicht: New York IEEE 2017Veröffentlicht in IEEE antennas and wireless propagation letters (2017)“… A butterfly-based fast direct integral equation solver for analyzing high-frequency scattering from two-dimensional objects is presented. The solver leverages …”
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Incorporation of a multilevel matrix decomposition algorithm in the finite-element-boundary-integral analysis of scattering from 2D coated conducting bodies
ISSN: 0895-2477, 1098-2760Veröffentlicht: New York Wiley Subscription Services, Inc., A Wiley Company 05.06.1996Veröffentlicht in Microwave and optical technology letters (05.06.1996)“… The dominant cost of multiplying the coefficient matrix resulting from the finite‐element(SINGLEBOND)boundary‐integral analysis of scattering from coated …”
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Improving the Performance of the Multilevel Matrix Decomposition Algorithm for 2.5-D Structures. Application to metamaterials
ISBN: 1424401232, 9781424401239ISSN: 1522-3965Veröffentlicht: IEEE 2006Veröffentlicht in 2006 IEEE Antennas and Propagation Society International Symposium (2006)“… This paper presents an optimization of the multilevel matrix decomposition algorithm (MLMDA …”
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Method of moments enhancement technique for the analysis of Sierpinski pre-fractal antennas
ISSN: 0018-926XVeröffentlicht: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC 10.01.2002Veröffentlicht in IEEE transactions on antennas and propagation (10.01.2002)“… This property, together with a multilevel matrix decomposition algorithm (MLMDA) implementation in which the MLMDA blocks are equal to the IFS generating shape, is used …”
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Fast Iterative Solution of Integral Equations With Method of Moments and Matrix Decomposition Algorithm - Singular Value Decomposition
ISSN: 0018-926X, 1558-2221Veröffentlicht: New York IEEE 01.08.2008Veröffentlicht in IEEE transactions on antennas and propagation (01.08.2008)“… The multilevel matrix decomposition algorithm (MLMDA) was originally developed by Michielsen and Boag for 2D TMz scattering problems and later implemented in 3D by Rius et al …”
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On MLMDA/Butterfly Compressibility of Inverse Integral Operators
ISSN: 1536-1225, 1548-5757Veröffentlicht: IEEE 2013Veröffentlicht in IEEE antennas and wireless propagation letters (2013)“… The multilevel matrix decomposition algorithm (MLMDA) is shown to permit effective compression of inverse integral operators pertinent to the analysis of scattering from electrically large structures …”
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Novel postcompression technique in the matrix decomposition algorithm for the analysis of electromagnetic problems
ISSN: 0048-6604, 1944-799XVeröffentlicht: Washington Blackwell Publishing Ltd 01.04.2012Veröffentlicht in Radio science (01.04.2012)“… In order to efficiently analyze an electromagnetic scattering problem with the surface integral equation approach, the matrix decomposition algorithm (MDA) is …”
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Method of moments enhancement technique for the analysis of Sierpinski pre-fractal antennas
ISSN: 0018-926X, 1558-2221Veröffentlicht: New York IEEE 01.08.2003Veröffentlicht in IEEE transactions on antennas and propagation (01.08.2003)“… This property, together with a multilevel matrix decomposition algorithm (MLMDA) implementation in which the MLMDA blocks are equal to the IFS generating shape, is used …”
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MLMDA-based direct integral equation solver for dielectric scatterers
Veröffentlicht: IEEE 01.07.2015Veröffentlicht in 2015 USNC-URSI Radio Science Meeting (Joint with AP-S Symposium) (01.07.2015)“… Our group recently developed direct electric and combined field integral equation solvers that use the multilevel matrix decomposition algorithm (MLMDA) (a.k.a. butterfly schemes …”
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Application of the multilevel decomposition algorithm to the frequency analysis of large microstrip antenna arrays
ISSN: 0018-9464Veröffentlicht: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC 31.03.2002Veröffentlicht in IEEE transactions on magnetics (31.03.2002)“… is required.We propose the multilevel matrix decomposition algorithm (MLMDA) to carry out this purpose efficiently …”
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Investigation on the butterfly reconstruction methods for MLMDA-based direct integral equation solver
Veröffentlicht: IEEE 01.07.2014Veröffentlicht in 2014 USNC-URSI Radio Science Meeting (Joint with AP-S Symposium) (01.07.2014)“… ; moreover, they converge slowly when applied to ill-conditioned problem. We recently demonstrated direct EFIE and CFIE solvers that leverage the multilevel matrix decomposition algorithm (MLMDA …”
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Block sub-structure issues associated with fast direct solutions of integral equations for composite bodies
Veröffentlicht: IEEE 01.07.2014Veröffentlicht in 2014 USNC-URSI Radio Science Meeting (Joint with AP-S Symposium) (01.07.2014)“… Shaeffer, IEEE Trans. Antennas Propagat., 56, 2306-2313, 2008) or Multilevel Matrix Decomposition Algorithm (MLDMA) (H. Guo, J. Hu, and E …”
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Artificial magnetic reflector based on spiral resonators
ISBN: 9290929375, 9789290929376ISSN: 2164-3342Veröffentlicht: IEEE 01.11.2006Veröffentlicht in 2006 First European Conference on Antennas and Propagation (01.11.2006)“… (multilevel matrix decomposition algorithm) techniques are used for designing the reflector and the antenna …”
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Improved MDA compression for accelerated linear system solutions and monopolar basis functions for accurate MFIE formulations
ISBN: 9781424416059, 1424416051Veröffentlicht: IEEE 01.08.2007Veröffentlicht in 2007 Computational Electromagnetic Workshop (01.08.2007)“… The paper focuses on two research lines: Firstly, an improved version of the multilevel matrix decomposition algorithm (MLMDA) is presented …”
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New and more efficient formulation of MLMDA for arbitrary 3D antennas and scatterers
ISBN: 9290929375, 9789290929376ISSN: 2164-3342Veröffentlicht: IEEE 01.11.2006Veröffentlicht in 2006 First European Conference on Antennas and Propagation (01.11.2006)“… The Multilevel Matrix Decomposition Algorithm (MLMDA) was originally developed by Michielsen and Boag for 2-D TMz scattering problems and later implemented in 3-D by Rius et al …”
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The fast steepest descent path algorithm (FASDPA) for analyzing scattering from two-dimensional scatterers
ISBN: 9780780332164, 0780332164Veröffentlicht: IEEE 1996Veröffentlicht in IEEE Antennas and Propagation Society International Symposium 1996 (1996)“… ), and the multilevel matrix decomposition algorithm (MLMDA) have been developed. The cost per iteration of these algorithms scales as O(NlogN) and O(Nlog/sup 2/N), respectively …”
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