Andrew G. Buchan

Statistical and Nonlinear Physics · 2013–2015

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Andrew G. Buchan trusts

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

  1. Jaime Peraire (in Statistical and Nonlinear Physics)
  2. Danny C. Sorensen (in Statistical and Nonlinear Physics)
  3. Saifon Chaturantabut (in Statistical and Nonlinear Physics)
  4. Ngoc Cuong Nguyen (in Statistical and Nonlinear Physics)
  5. Ionel M. Navon (in Computational Mechanics)

Papers from Andrew G. Buchan's perspective

Ordered by how strongly the researchers Andrew G. Buchan 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. Balanced Model Reduction via the Proper Orthogonal Decomposition
  3. A ‘best points’ interpolation method for efficient approximation of parametrized functions
  4. An ‘empirical interpolation’ method: application to efficient reduced-basis discretization of partial differential equations
  5. Galerkin Proper Orthogonal Decomposition Methods for a General Equation in Fluid Dynamics (SIAM Journal on Numerical Analysis)
  6. An efficient reduced‐order modeling approach for non‐linear parametrized partial differential equations
  7. Numerical integration using sparse grids (Numerical Algorithms)
  8. Application of POD and DEIM on dimension reduction of non-linear miscible viscous fingering in porous media
  9. High dimensional polynomial interpolation on sparse grids (Advances in Computational Mathematics)
  10. Nonlinear Model Reduction via Discrete Empirical Interpolation (SIAM Journal on Scientific Computing)

Their papers