Reshuffling: a symbolic pre-processing algorithm for improved robustness, performance and parallelization for the simulation of differential algebraic equations.
Volker WaurichInes GubschChristian SchubertMarcus WaltherPublished in: EOOLT (2014)
Keyphrases
- preprocessing
- algebraic equations
- improved algorithm
- learning algorithm
- computational efficiency
- optimization algorithm
- dynamic programming
- detection algorithm
- matching algorithm
- expectation maximization
- optimal solution
- objective function
- information retrieval
- mathematical model
- clustering method
- parallel implementation
- segmentation algorithm
- np hard
- cost function
- evolutionary algorithm
- computational complexity
- neural network
- particle swarm optimization
- worst case
- k means
- search space
- convergence rate
- clustering algorithm