Marco Fossati

Statistical and Nonlinear Physics · 2015

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Marco Fossati trusts overall

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

  1. Patrick LeGresley
  2. Joris Degroote
  3. Juan José Palacios Alonso
  4. Jan A. Vierendeels
  5. Philip S. Beran
  6. Karen E. Willcox
  7. Karen Veroy
  8. W. Silva
  9. David Amsallem
  10. Bryan Glaz

Papers from Marco Fossati's perspective

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

  1. Certified real‐time solution of the parametrized steady incompressible Navier–Stokes equations: rigorous reduced‐basis a posteriori error bounds
  2. Interpolation among reduced‐order matrices to obtain parameterized models for design, optimization and probabilistic analysis
  3. Reduced-Order Nonlinear Unsteady Aerodynamic Modeling Using a Surrogate-Based Recurrence Framework
  4. Nonlinear model order reduction based on local reduced‐order bases
  5. Towards an adaptive POD/SVD surrogate model for aeronautic design
  6. Investigation of non-linear projection for POD based reduced order models for Aerodynamics
  7. Reduced-order modeling: new approaches for computational physics
  8. An ‘empirical interpolation’ method: application to efficient reduced-basis discretization of partial differential equations
  9. Proper Orthogonal Decomposition Surrogate Models for Nonlinear Dynamical Systems: Error Estimates and Suboptimal Control
  10. Adaptation of Aeroelastic Reduced-Order Models and Application to an F-16 Configuration

Their papers