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Convolutional regularized least squares framework for reduced-order modeling of transonic flows.

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Title: Convolutional regularized least squares framework for reduced-order modeling of transonic flows.
Authors: Bilal, Muhammad1 (AUTHOR), Renganathan, Ashwin2 (AUTHOR) ashwin.renganathan@psu.edu
Source: Physics of Fluids. Mar2026, Vol. 38 Issue 3, p1-13. 13p.
Database: Academic Search Ultimate
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Header DbId: asn
DbLabel: Academic Search Ultimate
An: 192669595
AccessLevel: 2
PubType: Academic Journal
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  Data: Convolutional regularized least squares framework for reduced-order modeling of transonic flows.
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  Data: <searchLink fieldCode="AR" term="%22Bilal%2C+Muhammad%22">Bilal, Muhammad</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Renganathan%2C+Ashwin%22">Renganathan, Ashwin</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> ashwin.renganathan@psu.edu</i>
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  Data: <searchLink fieldCode="JN" term="%22Physics+of+Fluids%22">Physics of Fluids</searchLink>. Mar2026, Vol. 38 Issue 3, p1-13. 13p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=192669595
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      – Type: doi
        Value: 10.1063/5.0314054
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      – Code: eng
        Text: English
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        PageCount: 13
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      – TitleFull: Convolutional regularized least squares framework for reduced-order modeling of transonic flows.
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              Text: Mar2026
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              Y: 2026
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