Goal-oriented a posteriori error estimates for transport problems.

Dmitri Kuzmin Sergey 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