Philip Avery
Statistical and Nonlinear Physics · 2004–2017
A researcher in the Science corpus: 6 papers; trusts 21 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Statistical and Nonlinear Physics — 41 citations into it; #4,802 of 10,127 by trust here, #6,727 by citations
- Computational Mechanics — 34 citations into it; #6,563 of 10,001 by trust here, #9,276 by citations
- Statistics and Probability — 23 citations into it; #8,720 of 12,932 by trust here, #11,487 by citations
- Mechanics of Materials — 16 citations into it; #4,172 of 6,291 by trust here, #5,664 by citations
- Numerical Analysis — 14 citations into it
- Computational Theory and Mathematics — 8 citations into it; #8,840 of 12,182 by trust here, #10,349 by citations
- Aerospace Engineering — 6 citations into it
- Control and Systems Engineering — 6 citations into it; #6,037 of 8,257 by trust here, #6,083 by citations
Whom Philip Avery trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Charbel Farhat
- Kevin T. Carlberg
- Ngoc Cuong Nguyen
- Philippe Geuzaine
- David Dureisseix
- David Amsallem
- Martin A. Grepl
- Yvon Maday
- Saifon Chaturantabut
- G. Brown
Who trusts Philip Avery overall
Papers from Philip Avery's perspective
Ordered by how strongly the researchers Philip Avery trusts endorse each paper. Same corpus, a different order for every researcher.
- An ‘empirical interpolation’ method: application to efficient reduced-basis discretization of partial differential equations
- EFFICIENT REDUCED-BASIS TREATMENT OF NONAFFINE AND NONLINEAR PARTIAL DIFFERENTIAL EQUATIONS
- Reliable Real-Time Solution of Parametrized Partial Differential Equations: Reduced-Basis Output Bound Methods
- Missing Point Estimation in Models Described by Proper Orthogonal Decomposition (IEEE Transactions on Automatic Control)
- Dimensional model reduction in non‐linear finite element dynamics of solids and structures
- Application of a three-field nonlinear fluid–structure formulation to the prediction of the aeroelastic parameters of an F-16 fighter
- Efficient non‐linear model reduction via a least‐squares Petrov–Galerkin projection and compressive tensor approximations
- An efficient reduced‐order modeling approach for non‐linear parametrized partial differential equations
- Nonlinear Model Reduction via Discrete Empirical Interpolation (SIAM Journal on Scientific Computing)
- Acta Numerica 2003: Model reduction methods based on Krylov subspaces
Their papers
- Structure‐preserving, stability, and accuracy properties of the energy‐conserving sampling and weighting method for the hyper reduction of nonlinear finite element dynamic models (2015) — 305 citations
- A numerically scalable dual-primal substructuring method for the solution of contact problems––part I: the frictionless case (2004) — 47 citations
- A multilevel projection‐based model order reduction framework for nonlinear dynamic multiscale problems in structural and solid mechanics (2017) — 57 citations
- Dimensional reduction of nonlinear finite element dynamic models with finite rotations and energy‐based mesh sampling and weighting for computational efficiency (2014) — 372 citations
- The FETI family of domain decomposition methods for inequality-constrained quadratic programming: Application to contact problems with conforming and nonconforming interfaces (2009) — 54 citations
- A FETI‐preconditioned conjugate gradient method for large‐scale stochastic finite element problems (2009) — 51 citations