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Approximating the large sparse matrix exponential using incomplete orthogonalization and Krylov subspaces of variable dimension.

Huy D. VoRoger B. Sidje
Published in: Numer. Linear Algebra Appl. (2017)
Keyphrases
  • sparse matrix
  • sparse linear
  • random projections
  • low dimensional
  • principal component analysis
  • dimensionality reduction
  • high dimensional data
  • floating point
  • data points