Martin Gubisch

Statistical and Nonlinear Physics · 2013

A researcher in the Science corpus: 1 paper; trusts 29 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Martin Gubisch trusts overall

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

  1. Karl Kunisch
  2. Michael Hinze
  3. Bernd R. Noack
  4. Stefan Volkwein
  5. Clarence W. Rowley
  6. Athanasios C. Antoulas
  7. Anindya Chatterjee
  8. Karen E. Willcox
  9. Jorge Nocedal
  10. Jan S. Hesthaven

Papers from Martin Gubisch's perspective

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

  1. Balanced Model Reduction via the Proper Orthogonal Decomposition
  2. Galerkin proper orthogonal decomposition methods for parabolic problems (Numerische Mathematik)
  3. Model Reduction for fluids, Using Balanced Proper Orthogonal Decomposition (International Journal of Bifurcation and Chaos in Applied Sciences and Engineering)
  4. EFFICIENT REDUCED-BASIS TREATMENT OF NONAFFINE AND NONLINEAR PARTIAL DIFFERENTIAL EQUATIONS
  5. A subspace approach to balanced truncation for model reduction of nonlinear control systems
  6. A hierarchy of low-dimensional models for the transient and post-transient cylinder wake
  7. Approximation of Large-Scale Dynamical Systems (Advances in Design and Control)
  8. Galerkin Proper Orthogonal Decomposition Methods for a General Equation in Fluid Dynamics (SIAM Journal on Numerical Analysis)
  9. Proper Orthogonal Decomposition Surrogate Models for Nonlinear Dynamical Systems: Error Estimates and Suboptimal Control
  10. Modeling and control of physical processes using proper orthogonal decomposition

Their papers