Efficient, Unconditionally Stable, and Optimally Accurate FE Algorithms for Approximate Deconvolution Models.
Keith J. GalvinLeo G. RebholzCatalin TrencheaPublished in: SIAM J. Numer. Anal. (2014)
Keyphrases
- computationally efficient
- accurate models
- learning algorithm
- exact and approximate
- computationally intensive
- high quality
- data structure
- computational cost
- theoretical analysis
- computationally complex
- highly efficient
- finite element
- model selection
- efficient implementation
- machine learning algorithms
- variational methods
- data mining techniques
- decision trees
- exact computation
- neural network