On the Design of Global-in-Time Newton-Multigrid-Pressure Schur Complement Solvers for Incompressible Flow Problems
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource, 1 online resource.
- Language
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Englisch
- Bibliographic citation
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On the Design of Global-in-Time Newton-Multigrid-Pressure Schur Complement Solvers for Incompressible Flow Problems ; volume:25 ; number:3 ; day:26 ; month:6 ; year:2023 ; pages:1-34 ; date:8.2023
Journal of mathematical fluid mechanics ; 25, Heft 3 (26.6.2023), 1-34, 8.2023
- Creator
- Contributor
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SpringerLink (Online service)
- DOI
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10.1007/s00021-023-00807-6
- URN
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urn:nbn:de:101:1-2023110710305492608322
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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14.08.2025, 10:54 AM CEST
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Associated
- Lohmann, Christoph
- Turek, Stefan
- SpringerLink (Online service)
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Augmented Lagrangian Acceleration of Global-in-Time Pressure Schur Complement Solvers for Incompressible Oseen Equations
Augmented Lagrangian acceleration of global-in-time Pressure Schur complement solvers for incompressible Oseen equations
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Multigrid solvers for immersed finite element methods and immersed isogeometric analysis
Distributed relaxation multigrid applied to incompressible equations in computational fluid dynamics
Fast and accurate finite-element multigrid solvers for PDE simulations on GPU clusters
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On the design of global-in-time Newton-Multigrid-Pressure Schur complement solvers for incompressible flow problems
Correction to: On the Design of Global-in-Time Newton-Multigrid-Pressure Schur Complement Solvers for Incompressible Flow Problems
Augmented Lagrangian Acceleration of Global-in-Time Pressure Schur Complement Solvers for Incompressible Oseen Equations
Augmented Lagrangian acceleration of global-in-time Pressure Schur complement solvers for incompressible Oseen equations
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Massively parallel and fault-tolerant multigrid solvers on peta-scale systems
Multigrid solvers for immersed finite element methods and immersed isogeometric analysis
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Fast and accurate finite-element multigrid solvers for PDE simulations on GPU clusters