Gaetan K. W. Kenway
Computational Mechanics · 2013–2019
A researcher in the Science corpus: 6 papers; trusts 29 researchers and is trusted by 13 researchers here, as inferred from the citation graph.
Subfields
- Computational Mechanics — 32 citations into it; #2,320 of 10,001 by trust here, #4,315 by citations
- Computational Theory and Mathematics — 24 citations into it
- Numerical Analysis — 19 citations into it
- Statistics and Probability — 16 citations into it; #8,741 of 12,932 by trust here, #9,233 by citations
- Statistical and Nonlinear Physics — 14 citations into it; #5,991 of 10,127 by trust here, #7,024 by citations
- Aerospace Engineering — 7 citations into it; #3,051 of 6,421 by trust here, #4,388 by citations
- Artificial Intelligence — 7 citations into it
- Applied Mathematics — 6 citations into it
Whom Gaetan K. W. Kenway trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Joaquim R. Martins
- Richard P. Dwight
- Jacques Peter
- M. Giles
- Philip E. Gill
- Ruben E. Perez
- Zhoujie Lyu
- Sébastien Deck
- Walter Murray
- P. Jansen
Who trusts Gaetan K. W. Kenway overall
- Joaquim R. Martins
- Rhea Patricia Liem
- Mohamed Amine Bouhlel
- Ji-chao Li
- Charles A. Mader
- John T. Hwang
- Xiaosong Du
- Ping He
- D. Papadimitriou
- Justin S. Gray
Papers from Gaetan K. W. Kenway's perspective
Ordered by how strongly the researchers Gaetan K. W. Kenway trusts endorse each paper. Same corpus, a different order for every researcher.
- SNOPT: An SQP Algorithm for Large-Scale Constrained Optimization (SIAM Journal on Optimization)
- Recent improvements in aerodynamic design optimization on unstructured meshes
- Multigrid Solution of the Discrete Adjoint for Optimization Problems on Unstructured Meshes
- An Introduction to the Adjoint Approach to Design
- The complex-step derivative approximation (TOMS)
- Algorithm Developments for Discrete Adjoint Methods
- Discrete Adjoint-Based Approach for Optimization Problems on Three-Dimensional Unstructured Meshes
- A Practical Guide to Splines
- Automatic Differentiation Adjoint of the Reynolds-Averaged Navier-Stokes Equations with a Turbulence Model
- pyOpt: a Python-based object-oriented framework for nonlinear constrained optimization (Structural And Multidisciplinary Optimization)
Their papers
- Buffet-Onset Constraint Formulation for Aerodynamic Shape Optimization (2017) — 83 citations
- Effective adjoint approaches for computational fluid dynamics (2019) — 321 citations
- Expected drag minimization for aerodynamic design optimization based on aircraft operational data (2017) — 71 citations
- Multipoint Aerodynamic Shape Optimization Investigations of the Common Research Model Wing (2015) — 135 citations
- RANS-based aerodynamic shape optimization investigations of the common research modelwing (2014) — 63 citations
- Automatic Differentiation Adjoint of the Reynolds-Averaged Navier-Stokes Equations with a Turbulence Model (2013) — 135 citations