Reduced Order Modelling

Reduced Order Modelling

Organizer: Chacón Rebollo, Tomás (Universidad de Sevilla)

 

Abstract

Reduced Order Modeling (ROM) provides reductions of several orders of magnitude in the computational cost of the numerical simulation of processes and design problems that involve large numbers of degrees of freedom. Therefore, its use makes affordable the numerical simulation of parametric systems, evolutionary and inverse problems, data assimilation and design of complex devices, among others, that would be out of reach using standard numerical simulation techniques. The mathematical analysis and development of ROMs is today a very active research field. This minisymposium presents some recent developments of Reduced Order Modeling.

Keywords: Reduced Order Modelling


 

Session 1. Monday 11:30 - 13:35. Room A3.

Chair: Gómez, Macarena (Universidad de Sevilla)

Speaker

Organization

Contribution title

Rapún, María Luisa

Universidad Politécnica de Madrid

Collocated POD and Galerkin projection on the fly for fast time integration of PDEs

Mora Jiménez, María

CEU Cardenal Herrera

A Laplacian approach to the Greedy Rank-One Algorithm for a class of linear systems

Oulghelou, Mourad

Université de La Rochelle

Real-time flow optimal control by interpolated reduced order models

Sánchez Muñoz, Isabel

Universidad de Sevilla

Low-rank approximations for parametric non-symmetric elliptic partial differential equations

 

 

 

 

Session 3. Tuesday 10:30 - 11:45. Room A3.

Chair: Gómez, Macarena (Universidad de Sevilla)

Speaker

Organization

Contribution title

Chacón Rebollo, Tomás

Universidad de Sevilla

Development of an evolutionary Smagorinsky Reduced Model

Delgado Ávila, Enrique

SISSA, Trieste

A non-Intrusive reduced order model for fluid flow in glass industry

Falcó, Antonio

CEU Cardenal Herrera

Geometry of tree-based tensor formats in tensor Banach spaces

 

Organiza

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Colabora

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