Parametric models

1Citations
Citations of this article
11Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Since separated representations allow one to circumvent the curse of dimensionality, one can consider model parameters, boundary conditions, initial conditions or geometrical parameters defining the computational domain, as extra-coordinates of the problem. Thus, standard models become multi-dimensional, but by solving them only once and offline using the PGD, the solution of the model is available for any choice of the parameters considered as extra-coordinates. This parametric solution can then be used online for different purposes, such as real time simulation, efficient optimization or inverse analysis, or simulation-based control. In this chapter, we illustrate the procedures for considering (a) model parameters, (b) constant and non-constant Dirichlet and Neumann boundary conditions, (c) initial conditions and (d) geometrical parameters, as extra-coordinates of a resulting multi-dimensional model.

Cite

CITATION STYLE

APA

Chinesta, F., Keunings, R., & Leygue, A. (2014). Parametric models. In SpringerBriefs in Applied Sciences and Technology (pp. 71–88). Springer Verlag. https://doi.org/10.1007/978-3-319-02865-1_5

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free