On error estimation for reduced-order modeling of linear non-parametric and parametric systems

Improved Reduced Order Modeling Strategies for Coupled and Parametric Systems

Numerical Simulation and Parametric Reduced Order Modeling of the Natural Convection of Water-Copper Nanofluid

In this article, a coupled computational framework is presented for the numerical simulation of mass transfer under the effects of natural convection phenomena in a field contains water-copper Nano-fluid. This CFD model is build up based on accurate algorithms for spatial derivatives and time integration. The spatial derivatives have been calculated using first order upwind and second order cen...

on the effect of linear & non-linear texts on students comprehension and recalling

چکیده ندارد.

Parametric Reduced-Order Models

We address the problem of propagating input uncertainties through a computational fluid dynamics model. Methods such as Monte Carlo simulation can require many thousands (or more) of computational fluid dynamics solves, rendering them prohibitively expensive for practical applications. This expense can be overcome with reduced-order models that preserve the essential flow dynamics. The specific...

Notes on Non-parametric estimation

To tie up the discussion on the topic op estimation, more specifically spectral estimation, we derive here some tighter properties related to the direct use of the Fourier Transform, as contrasted to the properties of parametric methods such as the Levinson-Schur algorithm, where parameters of a model are estimated. We shall obtain a better insight in how well the Fourier Transform on discrete ...