Efficient goal-oriented global error estimators for BDF methods using discrete adjoints.

Published in: J. Comput. Appl. Math. (2017)

Keyphrases

goal oriented
computationally expensive
computational cost
cross validation
case study
error rate
benchmark datasets
clustering algorithm
significant improvement
data warehouse
machine learning methods
global features
error measure