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Optimal computational parameters for maximum accuracy and minimum cost of Arnoldi-based time-stepping methods for flow global stability analysis.

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Title: Optimal computational parameters for maximum accuracy and minimum cost of Arnoldi-based time-stepping methods for flow global stability analysis.
Authors: Mathias, Marlon Sproesser1, marlonsmathias@gmail.com, de Medeiros, Marcello Augusto Faraco1
Source: Theoretical & Computational Fluid Dynamics; Dec2022, Vol. 36 Issue 6, p1013-1036, 24p
Database: Applied Science & Technology Source
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  Data: Optimal computational parameters for maximum accuracy and minimum cost of Arnoldi-based time-stepping methods for flow global stability analysis.
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        Value: 10.1007/s00162-022-00634-x
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      – Code: eng
        Text: English
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        PageCount: 24
        StartPage: 1013
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      – TitleFull: Optimal computational parameters for maximum accuracy and minimum cost of Arnoldi-based time-stepping methods for flow global stability analysis.
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            – D: 01
              M: 12
              Text: Dec2022
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              Y: 2022
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