Irina Kalashnikova

Statistical and Nonlinear Physics · 2012–2014

A researcher in the Science corpus: 2 papers; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Irina Kalashnikova trusts overall

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

  1. Bernd R. Noack
  2. Kai Chang
  3. Ngoc Cuong Nguyen
  4. Steven H. Strogatz
  5. Clarence W. Rowley
  6. Jaime Peraire
  7. Karen Veroy
  8. Anthony T. Patera
  9. Serkan Gugercin
  10. Karen E. Willcox

Papers from Irina Kalashnikova's perspective

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

  1. Balanced Model Reduction via the Proper Orthogonal Decomposition
  2. Certified real‐time solution of the parametrized steady incompressible Navier–Stokes equations: rigorous reduced‐basis a posteriori error bounds
  3. Model Reduction for fluids, Using Balanced Proper Orthogonal Decomposition (International Journal of Bifurcation and Chaos in Applied Sciences and Engineering)
  4. A Survey of Model Reduction Methods for Large-Scale Systems
  5. Turbulence, Coherent Structures, Dynamical Systems and Symmetry
  6. A ‘best points’ interpolation method for efficient approximation of parametrized functions
  7. A New Look at Proper Orthogonal Decomposition (SIAM Journal on Numerical Analysis)
  8. An Introduction for Scientists and Engineers SECOND EDITION
  9. Model reduction for compressible flows using POD and Galerkin projection
  10. Approximation of Large-Scale Dynamical Systems (Advances in Design and Control)

Their papers