Preconditioned least‐squares Petrov–Galerkin reduced order models

P Lindsay, J Fike, I Tezaur… - International Journal for …, 2022 - Wiley Online Library
In this article, we introduce a methodology for improving the accuracy and efficiency of
reduced order models (ROMs) constructed using the least‐squares Petrov–Galerkin (LSPG) …

Development of frequency weighted model order reduction techniques for discrete-time one-dimensional and two-dimensional linear systems with error bounds

M Imran, MI Ahmad - IEEE Access, 2022 - ieeexplore.ieee.org
Frequency weighted model reduction framework pretested by Enns yields an unstable
reduced order model. Researchers demonstrated several stability preserving techniques to …

Informative Order-Reduction of Underdamped Third-Order Systems

S Albatran, A Alatoum, AR Al Khalaileh - IEEE Access, 2021 - ieeexplore.ieee.org
Model order reduction simplifies the understanding of a given system and minimizes the
simulation studies computational burden. A new order reduction method that depends on a …

Combining prediction models and visualization techniques for enhanced performance analysis of irregular task-based applications

MC Miletto - 2021 - lume.ufrgs.br
A análise de desempenho de aplicações paralelas trata-se de uma etapa essencial e
contínua para entender e otimizar aplicações de alto desempenho. Arquiteturas …

[PDF][PDF] Identification of Blade-root Joint Dynamics in Turbine Disks

Z Saeed - 2021 - tesidottorato.depositolegale.it
Bladed-disks are fundamental bricks of the rotating parts of a turbomachine. They are
operated in harsh operating conditions of elevated temperatures and pressures at high …