Jens L. Eftang

Statistical and Nonlinear Physics · 2010–2013

A researcher in the Science corpus: 4 papers; trusts 15 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

Whom Jens L. Eftang trusts overall

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

  1. Anthony T. Patera
  2. Martin A. Grepl
  3. Yvon Maday
  4. Gianluigi Rozza
  5. Ngoc Cuong Nguyen
  6. Alfio Maria Quarteroni
  7. Karl Kunisch
  8. Karen Veroy
  9. Saifon Chaturantabut
  10. David J. Knezevic

Who trusts Jens L. Eftang overall

  1. Bernhard Wieland
  2. S. Kristoffersen
  3. Alfio Maria Quarteroni
  4. Gianluigi Rozza
  5. Bernard Haasdonk
  6. Paolo Pacciarini
  7. Benjamin Stamm
  8. Saifon Chaturantabut
  9. Andrea Manzoni
  10. Martin A. Grepl

Papers from Jens L. Eftang's perspective

Ordered by how strongly the researchers Jens L. Eftang 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. EFFICIENT REDUCED-BASIS TREATMENT OF NONAFFINE AND NONLINEAR PARTIAL DIFFERENTIAL EQUATIONS
  3. A posteriori error estimation for reduced-basis approximation of parametrized elliptic coercive partial differential equations : “convex inverse” bound conditioners
  4. Numerical Approximation of Partial Differential Equations
  5. Adjoint Recovery of Superconvergent Functionals from PDE Approximations (SIAM Review)
  6. Balanced Model Reduction via the Proper Orthogonal Decomposition
  7. Galerkin Proper Orthogonal Decomposition Methods for a General Equation in Fluid Dynamics (SIAM Journal on Numerical Analysis)
  8. A posteriori error bounds for reduced-basis approximations of parametrized parabolic partial differential equations
  9. Certified real‐time solution of the parametrized steady incompressible Navier–Stokes equations: rigorous reduced‐basis a posteriori error bounds
  10. Reliable Real-Time Solution of Parametrized Partial Differential Equations: Reduced-Basis Output Bound Methods

Their papers