A survey of projection-based model reduction methods for parametric dynamical systems
Numerical simulation of large-scale dynamical systems plays a fundamental role in studying
a wide range of complex physical phenomena; however, the inherent large-scale nature of …
a wide range of complex physical phenomena; however, the inherent large-scale nature of …
A state-of-the-art survey of model order reduction techniques for large-scale coupled dynamical systems
Engineering large structure systems are dynamic, high-dimensional and have a wide range
of physical mechanism interconnections. Analyzing the dynamic behavior of complex …
of physical mechanism interconnections. Analyzing the dynamic behavior of complex …
[LIBRO][B] Interpolatory methods for model reduction
Dynamical systems are at the core of computational models for a wide range of complex
phenomena and, as a consequence, the simulation of dynamical systems has become a …
phenomena and, as a consequence, the simulation of dynamical systems has become a …
Low-rank tensor Krylov subspace methods for parametrized linear systems
D Kressner, C Tobler - SIAM Journal on Matrix Analysis and Applications, 2011 - SIAM
We consider linear systems A(α)x(α)=b(α) depending on possibly many parameters
α=(\alpha_1,...,\alpha_p). Solving these systems simultaneously for a standard discretization …
α=(\alpha_1,...,\alpha_p). Solving these systems simultaneously for a standard discretization …
Control-oriented thermal modeling of multizone buildings: Methods and issues: Intelligent control of a building system
The residential and commercial building sector is known to use around 40% of the total end-
use energy and, hence, is considered to be the largest energy consumer sector in the world …
use energy and, hence, is considered to be the largest energy consumer sector in the world …
Model reduction by rational interpolation
The last two decades have seen major developments in interpolatory methods for model
reduction of large-scale linear dynamical systems. Notable advances include greater ability …
reduction of large-scale linear dynamical systems. Notable advances include greater ability …
Design of freeform geometries in a MEMS accelerometer with a mechanical motion preamplifier based on a genetic algorithm
This paper describes a novel, semiautomated design methodology based on a genetic
algorithm (GA) using freeform geometries for microelectromechanical systems (MEMS) …
algorithm (GA) using freeform geometries for microelectromechanical systems (MEMS) …
Low-rank tensor methods for linear systems and eigenvalue problems
C Tobler - 2012 - research-collection.ethz.ch
This thesis is concerned with methods for the approximate solution of high-dimensional
linear systems and eigenvalue problems, using low-rank tensor techniques. In recent years …
linear systems and eigenvalue problems, using low-rank tensor techniques. In recent years …
Investigation and implementation of model order reduction technique for large scale dynamical systems
Abstract Model Order Reduction (MOR) has demonstrated its robustness and wide use in
engineering and science for the simulation of large-scale mathematical systems over the last …
engineering and science for the simulation of large-scale mathematical systems over the last …
Model order reduction of thermo-mechanical models with parametric convective boundary conditions: focus on machine tools
P Hernández-Becerro, D Spescha… - Computational mechanics, 2021 - Springer
Thermo-mechanical finite element (FE) models predict the thermal behavior of machine
tools and the associated mechanical deviations. However, one disadvantage is their high …
tools and the associated mechanical deviations. However, one disadvantage is their high …