In this chapter, we provide a collection of diverse applications of the polynomial chaos expansion (PCE)-based methods introduced in Chapter 2. The examples are in various relevant fields of electrical and electronic engineering and they are grouped by area, based on the class of equations that govern the system. Since some of the test cases are taken from the available literature and were simulated on different machines, we summarize in Table 3.1 the main features of the various computers that were used for the simulations proposed in the following
Uncertainty quantification seeks to provide a quantitative means to understand complex systems that ...
Variations in material properties, boundary conditions, or the geometry can be expected in most elec...
ABSTRACT: Uncertainty quantification is the state-of-the-art framework dealing with uncertainties ar...
Uncertainty is a common feature in first-principles models that are widely used in various engineeri...
Advances in manufacturing process technology are key ensembles for the production of integrated circ...
Uncertainty exists widely in engineering design. As one of the key components of engineering design,...
Advances in manufacturing process technology are key ensembles for the production of integrated circ...
© 2020 Elsevier Inc. All rights reserved. In the past decade, uncertainty quantification (UQ) has re...
Uncertainty quantification is an inseparable part of risk assessment in dam engineering. Many probab...
Uncertainty quantification (UQ) is an emerging research area that aims to develop methods for accura...
Uncertainty quantification is the state-of-the-art framework dealing with uncertainties arising in a...
This paper introduces the basis-adaptive sparse polynomial chaos (BASPC) expansion to perform the pr...
This paper presents an algorithm for efficient uncertainty quantification (UQ) in the presence of ma...
International audienceThis communication deals with the uncertainty quantification in high dimension...
Polynomial chaos expansions (PCE) are an attractive technique for uncertainty quan-tification (UQ) d...
Uncertainty quantification seeks to provide a quantitative means to understand complex systems that ...
Variations in material properties, boundary conditions, or the geometry can be expected in most elec...
ABSTRACT: Uncertainty quantification is the state-of-the-art framework dealing with uncertainties ar...
Uncertainty is a common feature in first-principles models that are widely used in various engineeri...
Advances in manufacturing process technology are key ensembles for the production of integrated circ...
Uncertainty exists widely in engineering design. As one of the key components of engineering design,...
Advances in manufacturing process technology are key ensembles for the production of integrated circ...
© 2020 Elsevier Inc. All rights reserved. In the past decade, uncertainty quantification (UQ) has re...
Uncertainty quantification is an inseparable part of risk assessment in dam engineering. Many probab...
Uncertainty quantification (UQ) is an emerging research area that aims to develop methods for accura...
Uncertainty quantification is the state-of-the-art framework dealing with uncertainties arising in a...
This paper introduces the basis-adaptive sparse polynomial chaos (BASPC) expansion to perform the pr...
This paper presents an algorithm for efficient uncertainty quantification (UQ) in the presence of ma...
International audienceThis communication deals with the uncertainty quantification in high dimension...
Polynomial chaos expansions (PCE) are an attractive technique for uncertainty quan-tification (UQ) d...
Uncertainty quantification seeks to provide a quantitative means to understand complex systems that ...
Variations in material properties, boundary conditions, or the geometry can be expected in most elec...
ABSTRACT: Uncertainty quantification is the state-of-the-art framework dealing with uncertainties ar...