Relevant bibliographies by topics / Augmented Krylov Model Order Reduction

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Academic literature on the topic 'Augmented Krylov Model Order Reduction'

Author: Grafiati
Published: 6 September 2023

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Dissertations / Theses on the topic "Augmented Krylov Model Order Reduction"

1

Olsson, K. Henrik A. "Model Order Reduction with Rational Krylov Methods." Doctoral thesis, Stockholm, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-401.

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2

Maciver, Mark Alasdair. "Electromagnetic characterisation of structures using Krylov subspace model order reduction methods." Thesis, University of Glasgow, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.433619.

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3

Agbaje, Oluwaleke Abimbola. "Krylov subspace model order reduction for nonlinear and bilinear control systems." Thesis, Coventry University, 2016. http://curve.coventry.ac.uk/open/items/62c3a18c-4d39-4397-9684-06d77b9cd187/1.

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The use of Krylov subspace model order reduction for nonlinear/bilinear systems, over the past few years, has become an increasingly researched area of study. The need for model order reduction has never been higher, as faster computations for control, diagnosis and prognosis have never been higher to achieve better system performance. Krylov subspace model order reduction techniques enable this to be done more quickly and efficiently than what can be achieved at present. The most recent advances in the use of Krylov subspaces for reducing bilinear models match moments and multimoments at some
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4

Yan, Boyuan. "Advanced non-Krylov subspace model order reduction techniques for interconnect circuits." Diss., [Riverside, Calif.] : University of California, Riverside, 2009. http://proquest.umi.com/pqdweb?index=0&did=1957340951&SrchMode=2&sid=4&Fmt=2&VInst=PROD&VType=PQD&RQT=309&VName=PQD&TS=1268670715&clientId=48051.

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Thesis (Ph. D.)--University of California, Riverside, 2009.<br>Includes abstract. Available via ProQuest Digital Dissertations. Title from first page of PDF file (viewed March 12, 2010). Includes bibliographical references (p. 122-126). Also issued in print.
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5

Barkouki, Houda. "Rational Lanczos-type methods for model order reduction." Thesis, Littoral, 2016. http://www.theses.fr/2016DUNK0440/document.

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La solution numérique des systèmes dynamiques est un moyen efficace pour étudier des phénomènes physiques complexes. Cependant, dans un cadre à grande échelle, la dimension du système rend les calculs infaisables en raison des limites de mémoire et de temps, ainsi que le mauvais conditionnement. La solution de ce problème est la réduction de modèles. Cette thèse porte sur les méthodes de projection pour construire efficacement des modèles d'ordre inférieur à partir des systèmes linéaires dynamiques de grande taille. En particulier, nous nous intéressons à la projection sur la réunion de plusie
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6

Wyatt, Sarah Alice. "Issues in Interpolatory Model Reduction: Inexact Solves, Second-order Systems and DAEs." Diss., Virginia Tech, 2012. http://hdl.handle.net/10919/27668.

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Dynamical systems are mathematical models characterized by a set of differential or difference equations. Model reduction aims to replace the original system with a reduced system of significantly smaller dimension that still describes the important dynamics of the large-scale model. Interpolatory model reduction methods define a reduced model that interpolates the full model at selected interpolation points. The reduced model may be obtained through a Krylov reduction process or by using the Iterative Rational Krylov Algorithm (IRKA), which iterates this Krylov reduction process to obtain an
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7

Hijazi, Abdallah. "Implementation of harmonic balance reduce model order equation." Thesis, Limoges, 2015. http://www.theses.fr/2015LIMO0139/document.

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MOR (Model Order Reduction) est devenu un domaine très répondu dans la recherche grâce à l'intérêt qu'il peut apporter dans la réduction des systèmes, ce qui permet d'économiser du temps, de la mémoire et le coût de CPU pour les outils de CAO. Ce domaine contient principalement deux branches: linéaires et non linéaires. MOR linéaire est un domaine mature avec des techniques numériques bien établie et bien connus dans la domaine de la recherche, par contre le domaine non linéaire reste vague, et jusqu'à présent il n'a pas montré des bons résultats dans la simulation des circuits électriques. La
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8

Panzer, Heiko [Verfasser]. "Model Order Reduction by Krylov Subspace Methods with Global Error Bounds and Automatic Choice of Parameters / Heiko Panzer." München : Verlag Dr. Hut, 2014. http://d-nb.info/1063222176/34.

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9

Panzer, Heiko K. F. [Verfasser], Boris [Akademischer Betreuer] Lohmann, and Athanasios C. [Akademischer Betreuer] Antoulas. "Model Order Reduction by Krylov Subspace Methods with Global Error Bounds and Automatic Choice of Parameters / Heiko K. F. Panzer. Gutachter: Athanasios C. Antoulas ; Boris Lohmann. Betreuer: Boris Lohmann." München : Universitätsbibliothek der TU München, 2014. http://d-nb.info/1064976263/34.

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10

Panzer, Heiko [Verfasser], Boris [Akademischer Betreuer] Lohmann, and Athanasios C. [Akademischer Betreuer] Antoulas. "Model Order Reduction by Krylov Subspace Methods with Global Error Bounds and Automatic Choice of Parameters / Heiko K. F. Panzer. Gutachter: Athanasios C. Antoulas ; Boris Lohmann. Betreuer: Boris Lohmann." München : Universitätsbibliothek der TU München, 2014. http://nbn-resolving.de/urn:nbn:de:bvb:91-diss-20140916-1207822-0-0.

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