An Analysis of Reordering Algorithms to Reduce the Computational Cost of the Jacobi-Preconditioned CG Solver Using High-Precision Arithmetic.
Sanderson L. Gonzaga de OliveiraGuilherme Oliveira ChagasJúnior Assis Barreto BernardesPublished in: ICCSA (1) (2017)
Keyphrases
- high precision
- reduce the computational cost
- high recall
- computational cost
- significant improvement
- learning algorithm
- data analysis
- statistical analysis
- computationally efficient
- times faster
- theoretical analysis
- high accuracy
- image analysis
- lower bound
- data structure
- machine learning
- optimization problems
- computationally expensive
- complexity analysis
- high reliability
- arithmetic operations
- achieve high precision