Martin A. Grepl

Computational Mechanics · 2005–2018

A researcher in the Science corpus: 7 papers; trusts 28 researchers and is trusted by 45 researchers here, as inferred from the citation graph.

Subfields

Whom Martin A. Grepl trusts overall

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

  1. Karen Veroy
  2. Anthony T. Patera
  3. Yvon Maday
  4. Dimitrios Rovas
  5. Christophe Prud'Homme
  6. L. Machiels
  7. Ngoc Cuong Nguyen
  8. Bernard Haasdonk
  9. Gianluigi Rozza
  10. Karen E. Willcox

Who trusts Martin A. Grepl overall

  1. Bernhard Wieland
  2. Gianluigi Rozza
  3. Anthony T. Patera
  4. Karen E. Willcox
  5. Ngoc Cuong Nguyen
  6. Alfio Maria Quarteroni
  7. Charbel Farhat
  8. C. Nguyen
  9. Michalis Frangos
  10. Paolo Pacciarini

Papers from Martin A. Grepl's perspective

Ordered by how strongly the researchers Martin A. Grepl 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. Balanced Model Reduction via the Proper Orthogonal Decomposition
  3. A posteriori error estimation for reduced-basis approximation of parametrized elliptic coercive partial differential equations : “convex inverse” bound conditioners
  4. Certified real‐time solution of the parametrized steady incompressible Navier–Stokes equations: rigorous reduced‐basis a posteriori error bounds
  5. Reliable Real-Time Solution of Parametrized Partial Differential Equations: Reduced-Basis Output Bound Methods
  6. A subspace approach to balanced truncation for model reduction of nonlinear control systems
  7. A posteriori error bounds for reduced-basis approximations of parametrized parabolic partial differential equations
  8. Adjoint Recovery of Superconvergent Functionals from PDE Approximations (SIAM Review)
  9. The finite element method for elliptic problems (Classics in applied mathematics)
  10. Numerical Approximation of Partial Differential Equations

Their papers