16 citations · 25 across the 6 of their papers we have counts for
6 papers
Simulation of non-Gaussian wind field as a -order stochastic wave
Lohit Vandanapu, Michael D. Shileds
This paper presents a methodology for the simulation of non-Gaussian wind field as a stochastic wave using the 3rd-order Spectral Representation Method. Traditionally, the wind fie…
UQpy v4.1: Uncertainty Quantification with Python
Dimitrios Tsapetis, Michael D. Shields, Dimitris G. Giovanis +9
This paper presents the latest improvements introduced in Version 4 of the UQpy, Uncertainty Quantification with Python, library. In the latest version, the code was restructured t…
A survey of unsupervised learning methods for high-dimensional uncertainty quantification in black-box-type problems
Katiana Kontolati, Dimitrios Loukrezis, Dimitris G. Giovanis +2
Constructing surrogate models for uncertainty quantification (UQ) on complex partial differential equations (PDEs) having inherently high-dimensional stoc…
Simulation of non-stationary and non-Gaussian random processes by 3rd-order Spectral Representation Method: Theory and POD implementation
Lohit Vandanapu, Michael D. Shields
This paper introduces the -order Spectral Representation Method for simulation of non-stationary and non-Gaussian stochastic processes. The proposed method extends the clas…
3rd-order Spectral Representation Method: Part II -- Ergodic Multi-variate random processes with fast Fourier transform
Lohit Vandanapu, Michael D. Shields
The second in a two-part series, this paper extends the 3rd-order Spectral Representation Method for simulation of ergodic multi-variate stochastic processes according to a prescri…
3rd-order Spectral Representation Method: Part I -- Multi-dimensional random fields with fast Fourier transform implementation
Lohit Vandanapu, Michael D. Shields
This paper introduces a generalised 3rd-order Spectral Representation Method for the simulation of multi-dimensional stochastic fields with asymmetric non-linearities. The simulate…