An extended Krylov subspace model-order reduction technique to simulate wave propagation in unbounded domains.

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Title: An extended Krylov subspace model-order reduction technique to simulate wave propagation in unbounded domains.
Authors: Druskin, Vladimir1 Druskin1@slb.com, Remis, Rob2 R.F.Remis@TUDelft.NL, Zaslavsky, Mikhail1 mzaslavsky@slb.com
Source: Journal of Computational Physics. Sep2014, Vol. 272, p608-618. 11p.
Subjects: Krylov subspace, Mathematical models, Simulation methods & models, Theory of wave motion, Mathematical optimization, Operator theory
Abstract: Abstract: In this paper we present a novel extended Krylov subspace reduced-order modeling technique to efficiently simulate time- and frequency-domain wavefields in open complex structures. To simulate the extension to infinity, we use an optimal complex-scaling method which is equivalent to an optimized perfectly matched layer in which the frequency is fixed. Wavefields propagating in strongly inhomogeneous open domains can now be modeled as a non-entire function of the complex-scaled wave operator. Since this function contains a square root singularity, we apply an extended Krylov subspace technique to construct fast converging reduced-order models. Specifically, we use a modified version of the extended Krylov subspace algorithm as proposed by Jagels and Reichel [14], since this algorithm allows us to balance the computational costs associated with computing powers of the wave operator and its inverse. Numerical experiments from electromagnetics and acoustics illustrate the performance of the method. [Copyright &y& Elsevier]
Copyright of Journal of Computational Physics is the property of Academic Press Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: <searchLink fieldCode="AR" term="%22Druskin%2C+Vladimir%22">Druskin, Vladimir</searchLink><relatesTo>1</relatesTo><i> Druskin1@slb.com</i><br /><searchLink fieldCode="AR" term="%22Remis%2C+Rob%22">Remis, Rob</searchLink><relatesTo>2</relatesTo><i> R.F.Remis@TUDelft.NL</i><br /><searchLink fieldCode="AR" term="%22Zaslavsky%2C+Mikhail%22">Zaslavsky, Mikhail</searchLink><relatesTo>1</relatesTo><i> mzaslavsky@slb.com</i>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Computational+Physics%22">Journal of Computational Physics</searchLink>. Sep2014, Vol. 272, p608-618. 11p.
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  Data: <searchLink fieldCode="DE" term="%22Krylov+subspace%22">Krylov subspace</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+models%22">Mathematical models</searchLink><br /><searchLink fieldCode="DE" term="%22Simulation+methods+%26+models%22">Simulation methods & models</searchLink><br /><searchLink fieldCode="DE" term="%22Theory+of+wave+motion%22">Theory of wave motion</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+optimization%22">Mathematical optimization</searchLink><br /><searchLink fieldCode="DE" term="%22Operator+theory%22">Operator theory</searchLink>
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  Data: Abstract: In this paper we present a novel extended Krylov subspace reduced-order modeling technique to efficiently simulate time- and frequency-domain wavefields in open complex structures. To simulate the extension to infinity, we use an optimal complex-scaling method which is equivalent to an optimized perfectly matched layer in which the frequency is fixed. Wavefields propagating in strongly inhomogeneous open domains can now be modeled as a non-entire function of the complex-scaled wave operator. Since this function contains a square root singularity, we apply an extended Krylov subspace technique to construct fast converging reduced-order models. Specifically, we use a modified version of the extended Krylov subspace algorithm as proposed by Jagels and Reichel [14], since this algorithm allows us to balance the computational costs associated with computing powers of the wave operator and its inverse. Numerical experiments from electromagnetics and acoustics illustrate the performance of the method. [Copyright &y& Elsevier]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of Computational Physics is the property of Academic Press Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1016/j.jcp.2014.04.051
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      – Code: eng
        Text: English
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        PageCount: 11
        StartPage: 608
    Subjects:
      – SubjectFull: Krylov subspace
        Type: general
      – SubjectFull: Mathematical models
        Type: general
      – SubjectFull: Simulation methods & models
        Type: general
      – SubjectFull: Theory of wave motion
        Type: general
      – SubjectFull: Mathematical optimization
        Type: general
      – SubjectFull: Operator theory
        Type: general
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      – TitleFull: An extended Krylov subspace model-order reduction technique to simulate wave propagation in unbounded domains.
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            NameFull: Remis, Rob
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            NameFull: Zaslavsky, Mikhail
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            – D: 01
              M: 09
              Text: Sep2014
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              Value: 272
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