Special issue on Parallel Matrix Algorithms and Applications (PMAA'14).
Peter ArbenzLaura GrigoriRolf KrauseOlaf SchenkPublished in: Parallel Comput. (2016)
Keyphrases
- special issue
- learning algorithm
- significant improvement
- ai edam
- international journal
- linear algebra
- ecml pkdd
- parallel hardware
- depth first search
- data structure
- computationally efficient
- computational complexity
- theoretical analysis
- parallel implementations
- rough sets
- perturbation theory
- data mining
- parallel architectures
- computational cost