Model reduction in Smoluchowski-type equations

Fuente: arXiv
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Main Authors: Timokhin, Ivan V., Matveev, Sergey A., Tyrtyshnikov, Eugene E., Smirnov, Alexander P.
Format: Preprint
Published: 2020
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author Timokhin, Ivan V.
Matveev, Sergey A.
Tyrtyshnikov, Eugene E.
Smirnov, Alexander P.
author_facet Timokhin, Ivan V.
Matveev, Sergey A.
Tyrtyshnikov, Eugene E.
Smirnov, Alexander P.
contents In this paper we utilize the Proper Orthogonal Decomposition (POD) method for model order reduction in application to Smoluchowski aggregation equations with source and sink terms. In particular, we show in practice that there exists a low-dimensional space allowing to approximate the solutions of aggregation equations. We also demonstrate that it is possible to model the aggregation process with the complexity depending only on dimension of such a space but not on the original problem size. In addition, we propose a method for reconstruction of the necessary space without solving of the full evolutionary problem, which can lead to significant acceleration of computations, examples of which are also presented.
format Preprint
id arxiv_https___arxiv_org_abs_2008_09439
institution arXiv
publishDate 2020
record_format arxiv
spellingShingle Model reduction in Smoluchowski-type equations
Timokhin, Ivan V.
Matveev, Sergey A.
Tyrtyshnikov, Eugene E.
Smirnov, Alexander P.
Numerical Analysis
G.1.3; G.1.7
In this paper we utilize the Proper Orthogonal Decomposition (POD) method for model order reduction in application to Smoluchowski aggregation equations with source and sink terms. In particular, we show in practice that there exists a low-dimensional space allowing to approximate the solutions of aggregation equations. We also demonstrate that it is possible to model the aggregation process with the complexity depending only on dimension of such a space but not on the original problem size. In addition, we propose a method for reconstruction of the necessary space without solving of the full evolutionary problem, which can lead to significant acceleration of computations, examples of which are also presented.
title Model reduction in Smoluchowski-type equations
topic Numerical Analysis
G.1.3; G.1.7
url https://arxiv.org/abs/2008.09439