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Galerkin and Runge-Kutta methods: unified formulation, a posteriori error estimates and nodal superconvergence.

Georgios AkrivisCharalambos G. MakridakisRicardo H. Nochetto
Published in: Numerische Mathematik (2011)
Keyphrases
  • image analysis
  • knowledge representation
  • least squares
  • level set
  • cross validation
  • differential equations
  • network model
  • error estimates