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David E. Keyes

Researcher at King Abdullah University of Science and Technology

Publications -  362
Citations -  9489

David E. Keyes is an academic researcher from King Abdullah University of Science and Technology. The author has contributed to research in topics: Solver & Domain decomposition methods. The author has an hindex of 42, co-authored 339 publications receiving 8440 citations. Previous affiliations of David E. Keyes include Yale University & Old Dominion University.

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Jacobian-free Newton-Krylov methods: a survey of approaches and applications

TL;DR: The aim of this paper is to present the reader with a perspective on how JFNK may be applicable to applications of interest and to provide sources of further practical information.
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Convergence Analysis of Pseudo-Transient Continuation

TL;DR: This paper proves convergence for a generic form of Pseudo-transient continuation and illustrates it with two practical strategies.
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Multiphysics simulations: Challenges and opportunities

TL;DR: This study considers multiphysics applications from algorithmic and architectural perspectives, where “algorithmic” includes both mathematical analysis and computational complexity, and “architectural’ includes both software and hardware environments.
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Nonlinearly Preconditioned Inexact Newton Algorithms

TL;DR: A nonlinear additive Schwarz-based parallel nonlinear preconditioner is proposed and studied and it is shown numerically that the new method converges well even for some difficult problems, such as high Reynolds number flows, where a traditional inexact Newton method fails.