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
In this paper, a novel approach for statistical analysis of cable harnesses characterized by several...
This paper proposes a decoupled and iterative circuit implementation of the stochastic Galerkin meth...
In this paper, a hybridization of the classical stochastic Galerkin method (SGM) with two perturbati...
The aim of this article is to provide an overview of polynomial chaos (PC) based methods for the sta...
Polynomial chaos-based methods have been extensively applied in electrical and other engineering pro...
In this paper, a hybridization of the classical stochastic Galerkin method (SGM) with two perturbati...
Polynomial chaos (PC)-based techniques recently became popular alternatives for the stochastic analy...
Polynomial chaos-based techniques recently became popular tools for signal integrity investigations ...
oai:ojs.aemjournal.org:article/6This paper focuses on the derivation of enhanced transmission-line m...
This paper investigates the efficiency of a perturbative approach for the statistical assessment of ...
This thesis presents a set of tools and methodologies that perform fast stochastic characterization ...
Recently, an efficient stochastic modeling method for interconnects with inherent variability in the...
The stochastic computation of electromagnetic (EM) problems is a relatively new topic, yet very impo...
In this paper, a novel approach for statistical analysis of cable harnesses characterized by several...
This paper proposes a decoupled and iterative circuit implementation of the stochastic Galerkin meth...
In this paper, a hybridization of the classical stochastic Galerkin method (SGM) with two perturbati...
The aim of this article is to provide an overview of polynomial chaos (PC) based methods for the sta...
Polynomial chaos-based methods have been extensively applied in electrical and other engineering pro...
In this paper, a hybridization of the classical stochastic Galerkin method (SGM) with two perturbati...
Polynomial chaos (PC)-based techniques recently became popular alternatives for the stochastic analy...
Polynomial chaos-based techniques recently became popular tools for signal integrity investigations ...
oai:ojs.aemjournal.org:article/6This paper focuses on the derivation of enhanced transmission-line m...
This paper investigates the efficiency of a perturbative approach for the statistical assessment of ...
This thesis presents a set of tools and methodologies that perform fast stochastic characterization ...
Recently, an efficient stochastic modeling method for interconnects with inherent variability in the...
The stochastic computation of electromagnetic (EM) problems is a relatively new topic, yet very impo...
In this paper, a novel approach for statistical analysis of cable harnesses characterized by several...
This paper proposes a decoupled and iterative circuit implementation of the stochastic Galerkin meth...
In this paper, a hybridization of the classical stochastic Galerkin method (SGM) with two perturbati...