Todd Chapman

Statistical and Nonlinear Physics · 2014–2015

A researcher in the Science corpus: 2 papers; trusts 13 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Todd Chapman trusts overall

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

  1. Charbel Farhat
  2. Kevin T. Carlberg
  3. Ngoc Cuong Nguyen
  4. Philippe Geuzaine
  5. Martin A. Grepl
  6. David Amsallem
  7. Paolo Tiso
  8. Jaime Peraire
  9. Yvon Maday
  10. Christophe Prud'Homme

Who trusts Todd Chapman overall

  1. Charbel Farhat
  2. Christian Soize
  3. Matthew J. Zahr
  4. Philip Avery

Papers from Todd Chapman's perspective

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

  1. EFFICIENT REDUCED-BASIS TREATMENT OF NONAFFINE AND NONLINEAR PARTIAL DIFFERENTIAL EQUATIONS
  2. Reliable Real-Time Solution of Parametrized Partial Differential Equations: Reduced-Basis Output Bound Methods
  3. Missing Point Estimation in Models Described by Proper Orthogonal Decomposition (IEEE Transactions on Automatic Control)
  4. Dimensional model reduction in non‐linear finite element dynamics of solids and structures
  5. Application of a three-field nonlinear fluid–structure formulation to the prediction of the aeroelastic parameters of an F-16 fighter
  6. Efficient non‐linear model reduction via a least‐squares Petrov–Galerkin projection and compressive tensor approximations
  7. An efficient reduced‐order modeling approach for non‐linear parametrized partial differential equations
  8. Certified Real-Time Solution of Parametrized Partial Differential Equations
  9. Nonlinear Model Reduction via Discrete Empirical Interpolation (SIAM Journal on Scientific Computing)
  10. Acta Numerica 2003: Model reduction methods based on Krylov subspaces

Their papers