ALARIC: An algorithm for constructing arbitrarily complex initial density distributions with low particle noise for SPH/SPMHD applications.
Luis Vela VelaRaúl SánchezJoachim GeigerPublished in: Comput. Phys. Commun. (2018)
Keyphrases
- learning algorithm
- experimental evaluation
- detection algorithm
- cost function
- noisy data
- recognition algorithm
- input data
- dynamic programming
- np hard
- k means
- improved algorithm
- objective function
- search space
- preprocessing
- computational complexity
- computational cost
- worst case
- high accuracy
- clustering method
- noise level
- gaussian noise
- arbitrarily complex
- expectation maximization
- simulated annealing
- search algorithm
- optimal solution
- similarity measure