Splitting K-symplectic methods for non-canonical separable Hamiltonian problems.
Beibei ZhuRuili ZhangYifa TangXiongbiao TuYue ZhaoPublished in: J. Comput. Phys. (2016)
Keyphrases
- significant improvement
- heuristic methods
- difficult problems
- high dimensional
- optimization methods
- benchmark datasets
- control problems
- data sets
- alternative methods
- practical problems
- data mining applications
- decision problems
- computationally expensive
- classification method
- np complete
- simulated annealing
- computational cost
- artificial neural networks
- lower bound
- preprocessing
- support vector
- neural network