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Goal-oriented a posteriori error estimates for transport problems.

Dmitri KuzminSergey Korotov
Published in: Math. Comput. Simul. (2010)
Keyphrases
  • goal oriented
  • error estimates
  • data sets
  • neural network
  • machine learning
  • case study
  • similarity measure
  • optimization problems
  • error estimation
  • requirements analysis
  • provably correct