2022
DOI: 10.1103/physrevfluids.7.013905
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Variational formulation of resolvent analysis

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Cited by 9 publications
(4 citation statements)
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“…Similar considerations impact the development of numerical methods (Bazilevs et al. 2007), self-consistent mean flow modelling (Meliga 2017) and resolvent analysis (Padovan, Otto & Rowley 2020; Rigas, Sipp & Colonius 2021; Barthel, Zhu & McKeon 2021; Barthel, Gomez & McKeon 2022).…”
Section: Introductionmentioning
confidence: 93%
“…Similar considerations impact the development of numerical methods (Bazilevs et al. 2007), self-consistent mean flow modelling (Meliga 2017) and resolvent analysis (Padovan, Otto & Rowley 2020; Rigas, Sipp & Colonius 2021; Barthel, Zhu & McKeon 2021; Barthel, Gomez & McKeon 2022).…”
Section: Introductionmentioning
confidence: 93%
“…Using CPU computing, a 70 by 70 grid requires multiple hours to compute the inverse using MATLAB's inversion routine. Alternative resolvent methods exist such as the variational formulation [33] and randomized resolvent analysis [34]. Rather than implementing these more complex alternatives, we instead performed the simpler method described earlier using graphics-processing-unit (GPU) computing.…”
Section: Numerical Implementationmentioning
confidence: 99%
“…The bottleneck is related to the time and memory requirements of the linear system solvers within the SVD. Building an optimal basis to avoid linear system solvers is possible (Barthel, Gomez & McKeon 2022), although a generalization for complex geometries is still challenging. It is possible, however, to obtain accurate resolvent modes with time-stepping instead of direct solvers.…”
Section: Problem Set-upmentioning
confidence: 99%