Saifon Chaturantabut

Statistical and Nonlinear Physics · 2010–2011

A researcher in the Science corpus: 2 papers; trusts 33 researchers and is trusted by 68 researchers here, as inferred from the citation graph.

Subfields

Whom Saifon Chaturantabut trusts overall

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

  1. Karen E. Willcox
  2. Karl Kunisch
  3. Clarence W. Rowley
  4. Tan Bui-Thanh
  5. Anthony T. Patera
  6. Ngoc Cuong Nguyen
  7. Martin A. Grepl
  8. Stefan Volkwein
  9. David Amsallem
  10. Zhong-Zhi Bai

Who trusts Saifon Chaturantabut overall

  1. Benjamin Peherstorfer
  2. Annika Radermacher
  3. Dunhui Xiao
  4. Jan S. Hesthaven
  5. Bernhard Wieland
  6. Paolo Tiso
  7. Charbel Farhat
  8. Peter Benner
  9. Matthew J. Zahr
  10. Karen E. Willcox

Papers from Saifon Chaturantabut's perspective

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

  1. Balanced Model Reduction via the Proper Orthogonal Decomposition
  2. An ‘empirical interpolation’ method: application to efficient reduced-basis discretization of partial differential equations
  3. EFFICIENT REDUCED-BASIS TREATMENT OF NONAFFINE AND NONLINEAR PARTIAL DIFFERENTIAL EQUATIONS
  4. Proper Orthogonal Decomposition Surrogate Models for Nonlinear Dynamical Systems: Error Estimates and Suboptimal Control
  5. A posteriori error bounds for reduced-basis approximations of parametrized parabolic partial differential equations
  6. A trajectory piecewise-linear approach to model order reduction and fast simulation of nonlinear circuits and micromachined devices (IEEE/ACM International Conference on Computer Aided Design. ICCAD 2001. IEEE/ACM Digest of Technical Papers (Cat. No.01CH37281))
  7. Unsteady Flow Sensing and Estimation via the Gappy Proper Orthogonal Decomposition
  8. Galerkin proper orthogonal decomposition methods for parabolic problems (Numerische Mathematik)
  9. Model Reduction for Large-Scale Systems with High-Dimensional Parametric Input Space (SIAM Journal on Scientific Computing)
  10. Reliable Real-Time Solution of Parametrized Partial Differential Equations: Reduced-Basis Output Bound Methods

Their papers