Strong convergence of an adaptive time-stepping Milstein method for SDEs with one-sided Lipschitz drift.
Cónall KellyGabriel J. LordFandi SunPublished in: CoRR (2019)
Keyphrases
- detection method
- convergence rate
- support vector machine
- optimization method
- synthetic data
- neural network
- experimental evaluation
- decision trees
- computational cost
- high accuracy
- theoretical analysis
- optimization algorithm
- image processing
- prior knowledge
- high precision
- energy function
- face recognition
- objective function
- clustering method
- input data
- principal component analysis
- support vector
- pairwise
- cost function
- significant improvement