[[Category:Model approximation]]
...o perform model-based or data-based linear ODE and DAE model reduction and approximation. The '''MOR toolbox''' is now maintained an distributed by the '''MOR Digit
1 KB (196 words) - 12:03, 29 January 2021
...16.7810582 From infinite dimensional modelling to parametric reduced order approximation: Application to open-channel flow for hydroelectricity]</span>", in Proceed
The benchmark contains the above irrational model description together with the numerical data as used in the reference paper
4 KB (630 words) - 11:11, 15 March 2022
...A. C. "<span class="plainlinks">[http://dx.doi.org/10.1137/1.9780898718713 Approximation of large-scale dynamical systems]</span>". Vol. 6. Society for Industrial a
The reduced model is produced by [[wikipedia:Petrov–Galerkin_method|Petrov-Galerkin project
5 KB (836 words) - 13:24, 11 May 2023
These benchmarks model components of the [[wikipedia:International_Space_Station|International Spa
This model describes the [[wikipedia:Zvezda_(ISS_module)|Russian Service Module]] (ISS
4 KB (545 words) - 10:32, 30 November 2023
''Padé'' approximation methods<ref name="feldmann95"/>. They belong to the [[Projection based MOR]
The goal in moment-matching model reduction is the construction of a reduced order
5 KB (825 words) - 13:55, 25 August 2022
...approximation''' method is a model reduction approach that solves the best-approximation problem in the Hankel semi-norm<ref name="morGlo84"></ref>.
...a of the Hankel-norm approximation method is, to construct a reduced-order model <math>G_{r}</math> of order <math>r</math> such that the error system <math
5 KB (804 words) - 10:04, 3 May 2018
This benchmark is part of the '''SLICOT Benchmark Examples for Model Reduction'''<ref name="chahlaoui05"/>.
...s available from the [http://slicot.org/20-site/126-benchmark-examples-for-model-reduction SLICOT benchmarks] page: [http://slicot.org/objects/software/shar
3 KB (435 words) - 10:37, 30 November 2023
However, due to the involved model's complexity, these latter are time-consuming and imply an important comput
...ion in the Loewner framework is proposed, as well as a description of this model.
5 KB (701 words) - 06:30, 17 June 2025
[https://www.itm.uni-stuttgart.de/software/morembs/ MOREMBS] (Model Order Reduction of Elastic Multibody Systems) is a software package develop
** Proper Orthogonal Decomposition for approximation of Gramian matrix
2 KB (227 words) - 15:04, 22 October 2020
...tml MATLAB] and [https://www.gnu.org/software/octave/ Octave] routines for model order reduction of dynamical systems. The implementation is based on spectr
'''Model reduction methods for dense and sparse, first- and second-order, ODE and DA
4 KB (571 words) - 03:43, 26 September 2023
Following is a list of selected works introducing the field of model order reduction.
...allo. "<span class="plainlinks">[https://doi.org/10.1007/978-1-4471-3198-4 Model Order Reduction Techniques with Applications in Electrical Engineering]</sp
14 KB (1,897 words) - 00:41, 28 November 2021
The resulting model has 306 states, and two inputs and outputs.
The resulting model has 1841 states, and sixteen inputs and outputs.
5 KB (634 words) - 06:38, 17 June 2025
...a combination of [[Balanced Truncation|balanced truncation]] (or any other model order reduction method for deterministic linear, time-invariant systems) at
...parametrisierte Systeme durch balanciertes Abschneiden und Interpolation (Model Reduction for Parametric Systems Using Balanced Truncation and Interpolatio
5 KB (745 words) - 09:20, 17 June 2013
'''IRKA''' (iterative rational Krylov algorithm) is an interpolation-based model reduction method for SISO linear time invariant systems.
...to find a local minimizer <math>\hat{G} </math> for the <math> H_2 </math> model reduction problem
4 KB (716 words) - 13:21, 11 May 2023
with Dirichlet boundary conditions and discretized with centered difference approximation.
This benchmark is part of the '''SLICOT Benchmark Examples for Model Reduction'''<ref name="chahlaoui05"/>.
5 KB (628 words) - 10:28, 30 November 2023
The typical model problem of the RBM consists of a parametrized PDE stated in weak form with
of a very low online cost (of a reduced order model) for each input-output evaluation, when in a many-query or real-time contex
8 KB (1,294 words) - 08:58, 23 May 2013
Model truncation<ref name="Dav66"/> is one of the oldest MOR methods for linear t
...ack of a computationally feasible error bound and the often observed lower approximation accuracy compared to other MOR methods.
9 KB (1,472 words) - 13:57, 25 August 2022
...component analysis in linear systems: Controllability, observability, and model reduction]</span>", IEEE Transactions on Automatic Control , vol.26, no.1,
...le partitions <math>U_2,V^T_2,\Sigma_2</math> results in the reduced order model <math>(P^TEQ,P^TAQ,P^TB,CQ,D)\;</math> where
13 KB (2,049 words) - 17:01, 17 January 2018
...a limited mass-transfer rate characterized by a linear driving force (LDF) approximation.
In this model the differential mass balance of component <math>i</math> (<math>i=A,B,</ma
10 KB (1,685 words) - 09:59, 11 June 2025
To obtain the reduced model in (2), a [[Projection_based_MOR|projection]] matrix
cannot get an accurate reduced model which matches all the moments
7 KB (1,072 words) - 09:34, 22 May 2013
