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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/16708
Title: Fast multidimensional statistical analysis of microwave networks via stroud cubature approach
Authors: Ahadi M.
Kabir M.
Roy S.
Khazaka R.
Published in: Proceedings of 2015 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization, NEMO 2015
Abstract: In this paper, a Stroud cubature based stochastic collocation approach for the efficient statistical analysis of microwave networks is proposed. The key advantage of this approach is that the number of Stroud collocation nodes scales optimally (i.e. linearly) with the number of random dimensions thereby requiring substantially smaller number of full-wave simulations than classical collocation approaches based on tensor product grids and sparse grids. The validity of the proposed work is demonstrated using a numerical example. © 2015 IEEE.
Citation: Proceedings of 2015 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization, NEMO 2015, (2016)
URI: https://doi.org/10.1109/NEMO.2015.7415047
http://repository.iitr.ac.in/handle/123456789/16708
Issue Date: 2016
Publisher: Institute of Electrical and Electronics Engineers Inc.
Keywords: Cubature rules
full-wave simulation
microwave networks
stochastic collocation
transient analysis
ISBN: 9.78E+12
Author Scopus IDs: 56702857400
35302397300
55364099700
6603384588
Author Affiliations: Ahadi, M., Department of Electrical and Computer Engineering, Colorado State University, Fort Collins, CO 80253, United States
Kabir, M., Department of Electrical and Computer Engineering, McGill University, Montreal, QC H3A 0E9, Canada
Roy, S., Department of Electrical and Computer Engineering, Colorado State University, Fort Collins, CO 80253, United States
Khazaka, R., Department of Electrical and Computer Engineering, McGill University, Montreal, QC H3A 0E9, Canada
Appears in Collections:Conference Publications [ECE]

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