Benjamin Stamm
Statistical and Nonlinear Physics · 2012–2015
A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 15 researchers here, as inferred from the citation graph.
Subfields
- Statistical and Nonlinear Physics — 33 citations into it; #3,359 of 10,127 by trust here, #7,402 by citations
- Computational Mechanics — 32 citations into it; #3,852 of 10,001 by trust here, #4,749 by citations
- Statistics and Probability — 16 citations into it; #5,240 of 12,932 by trust here, #8,740 by citations
- Mechanics of Materials — 15 citations into it; #1,893 of 6,291 by trust here, #4,794 by citations
- Numerical Analysis — 12 citations into it; #1,274 of 3,586 by trust here, #1,122 by citations
Whom Benjamin Stamm trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jens L. Eftang
- Gianluigi Rozza
- Martin A. Grepl
- Anthony T. Patera
- Saifon Chaturantabut
- Yvon Maday
- Ngoc Cuong Nguyen
- Danny C. Sorensen
- David J. Knezevic
- Karen Veroy
Who trusts Benjamin Stamm overall
Papers from Benjamin Stamm's perspective
Ordered by how strongly the researchers Benjamin Stamm 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
- Reduced basis methods for Stokes equations in domains with non-affine parameter dependence
- A posteriori error estimation for reduced-basis approximation of parametrized elliptic coercive partial differential equations : “convex inverse” bound conditioners
- Balanced Model Reduction via the Proper Orthogonal Decomposition
- Krylov subspace techniques for reduced-order modeling of large-scale dynamical systems
- A posteriori error bounds for reduced-basis approximations of parametrized parabolic partial differential equations
- Reliable Real-Time Solution of Parametrized Partial Differential Equations: Reduced-Basis Output Bound Methods
- Galerkin Proper Orthogonal Decomposition Methods for a General Equation in Fluid Dynamics (SIAM Journal on Numerical Analysis)
- Numerical Approximation of Partial Differential Equations
Their papers
- Certified Reduced Basis Methods for Parametrized Partial Differential Equations (2015) — 1,144 citations
- Parameter multi‐domain ‘hp’ empirical interpolation (2012) — 101 citations