2018 - Fellow of the American Association for the Advancement of Science (AAAS)
2013 - Fellow of the American Mathematical Society
2011 - SIAM Fellow For contributions to implicit methods for the solution of partial differential equations and dedicated service to the scientific community.
As a part of the same scientific family, David E. Keyes mostly works in the field of Citation, focusing on World Wide Web and, on occasion, Social media. His Programming language studies intersect with other disciplines such as Icon and Computational science. In his work, David E. Keyes performs multidisciplinary research in Computational science and Programming language. David E. Keyes regularly links together related areas like Data science in his Cyberinfrastructure studies. David E. Keyes conducts interdisciplinary study in the fields of Data science and Big data through his research. David E. Keyes integrates several fields in his works, including Big data and Cyberinfrastructure. David E. Keyes conducts interdisciplinary study in the fields of Composition (language) and Literature through his works. Borrowing concepts from Composition (language), he weaves in ideas under Literature. David E. Keyes undertakes interdisciplinary study in the fields of Information retrieval and World Wide Web through his research.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Jacobian-free Newton-Krylov methods: a survey of approaches and applications
D. A. Knoll;D. E. Keyes.
Journal of Computational Physics (2004)
The International Exascale Software Project roadmap
Jack Dongarra;Pete Beckman;Terry Moore;Patrick Aerts.
ieee international conference on high performance computing data and analytics (2011)
Multiphysics simulations: Challenges and opportunities
David E Keyes;Lois C Mcinnes;Carol Woodward;William Gropp.
ieee international conference on high performance computing data and analytics (2013)
A comparison of domain decomposition techniques for elliptic partial differential equations and their parallel implementation
David E. Keyes;William D. Gropp.
Siam Journal on Scientific and Statistical Computing (1987)
Convergence Analysis of Pseudo-Transient Continuation
C. T. Kelley;David E. Keyes.
SIAM Journal on Numerical Analysis (1998)
Numerical Solution of Two-Dimensional Axisymmetric Laminar Diffusion Flames
M. D. Smooke;R. E. Mitchell;D. E. Keyes.
Combustion Science and Technology (1986)
Nonlinearly Preconditioned Inexact Newton Algorithms
Xiao-Chuan Cai;David E. Keyes.
SIAM Journal on Scientific Computing (2002)
High-performacne parallel implicit CFD
William D. Gropp;Dinesh K. Kaushik;David E. Keyes;Barry F. Smith.
parallel computing (2001)
Parallel Newton--Krylov--Schwarz Algorithms for the Transonic Full Potential Equation
Xiao-Chuan Cai;William D. Gropp;David E. Keyes;Robin G. Melvin.
SIAM Journal on Scientific Computing (1998)
Large-Scale Inverse Problems and Quantification of Uncertainty
Lorenz Biegler;George Biros;Omar Nabih Ghattas;Matthias Heinkenschloss.
(2010)
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