A mixed corrected symmetric SPH (MC-SSPH) method for computational dynamic problems.
Tao JiangJie OuyangJin-Lian RenBin-Xin YangXiaoyang XuPublished in: Comput. Phys. Commun. (2012)
Keyphrases
- high accuracy
- experimental evaluation
- high precision
- prior knowledge
- dynamic programming
- search methods
- cost function
- computational cost
- detection method
- computationally efficient
- similarity measure
- significant improvement
- classification method
- synthetic data
- classification accuracy
- numerical methods
- np complete
- state space
- data sets
- search algorithm
- reinforcement learning
- learning algorithm