This paper discusses the relationship between two standard methods for the stochastic analysis of linear circuits, namely the stochastic Galerkin method (SGM) and the stochastic collocation method (SCM), based on a multidimensional Gaussian quadrature. It is established that the SCM corresponds to an approximate factorization of the SGM, involving matrix polynomials sharing the same coefficients as the pertinent polynomial chaos basis functions. Under certain assumptions, the two methods coincide. These findings are illustrated by means of a frequency-domain simulation of a transmission line circuit.
The relationship between Galerkin and collocation methods in statistical transmission line analysis / Manfredi, P; De Zutter, D; Vande Ginste, D. - STAMPA. - (2016), pp. 35-38. (Intervento presentato al convegno IEEE 25th Conference on Electrical Performance of Electronic Packaging and Systems (EPEPS 2016) tenutosi a San Diego, CA (USA) nel October 23-26) [10.1109/EPEPS.2016.7835412].
The relationship between Galerkin and collocation methods in statistical transmission line analysis
Manfredi P;
2016
Abstract
This paper discusses the relationship between two standard methods for the stochastic analysis of linear circuits, namely the stochastic Galerkin method (SGM) and the stochastic collocation method (SCM), based on a multidimensional Gaussian quadrature. It is established that the SCM corresponds to an approximate factorization of the SGM, involving matrix polynomials sharing the same coefficients as the pertinent polynomial chaos basis functions. Under certain assumptions, the two methods coincide. These findings are illustrated by means of a frequency-domain simulation of a transmission line circuit.File | Dimensione | Formato | |
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https://hdl.handle.net/11583/2715101
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