C. Nguyen

Computational Mechanics · with Huynh · 2010

A researcher in the Science corpus: 1 paper; trusts 18 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computational Mechanics — 16 citations into it; #6,336 of 10,001 by trust here, #7,501 by citations
• Statistical and Nonlinear Physics — 15 citations into it; #6,053 of 10,127 by trust here, #7,402 by citations
• Statistics and Probability — 9 citations into it; #8,433 of 12,932 by trust here, #8,740 by citations
• Numerical Analysis — 8 citations into it
• Mechanics of Materials — 6 citations into it

Whom C. Nguyen trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Martin A. Grepl
2. Jingbo Wang
3. Anthony T. Patera
4. Karen Veroy
5. Niles A. Pierce
6. Karl Kunisch
7. Bernard Haasdonk
8. David Amsallem
9. Nicholas Zabaras
10. Klaus Mosegaard

Who trusts C. Nguyen overall

1. Gianluigi Rozza
2. Paolo Pacciarini
3. Liang Yan
4. Alfio Maria Quarteroni
5. James Martin
6. Peng Chen
7. Ling Guo
8. Lucas C. Wilcox

Papers from C. Nguyen's perspective

Ordered by how strongly the researchers C. Nguyen trusts endorse each paper. Same corpus, a different order for every researcher.

1. An ‘empirical interpolation’ method: application to efficient reduced-basis discretization of partial differential equations
2. Certified real‐time solution of the parametrized steady incompressible Navier–Stokes equations: rigorous reduced‐basis a posteriori error bounds
3. A posteriori error bounds for reduced-basis approximations of parametrized parabolic partial differential equations
4. EFFICIENT REDUCED-BASIS TREATMENT OF NONAFFINE AND NONLINEAR PARTIAL DIFFERENTIAL EQUATIONS
5. REDUCED BASIS METHOD FOR FINITE VOLUME APPROXIMATIONS OF PARAMETRIZED LINEAR EVOLUTION EQUATIONS
6. Adjoint Recovery of Superconvergent Functionals from PDE Approximations (SIAM Review)
7. Reduced-basis approximation of the viscous Burgers equation: rigorous a posteriori error bounds
8. Reduced basis approximation and a posteriori error estimation for the time-dependent viscous Burgers’ equation
9. Hierarchical Bayesian models for inverse problems in heat conduction
10. Interpolation Method for Adapting Reduced-Order Models and Application to Aeroelasticity

Their papers

• Reduced Basis Approximation and a Posteriori Error Estimation for Parametrized Parabolic PDEs: Application to Real‐Time Bayesian Parameter Estimation (2010) — 96 citations