Convergence conditions for iterative methods seeking multi-component solitary waves with prescribed quadratic conserved quantities.
Taras I. LakobaPublished in: Math. Comput. Simul. (2011)
Keyphrases
- multi component
- iterative methods
- iterative algorithms
- image reconstruction from projections
- conjugate gradient method
- constrained optimization
- computationally expensive
- initial conditions
- non stationary
- convergence rate
- sufficient conditions
- tomographic image reconstruction
- convergence speed
- objective function
- image reconstruction
- neural network
- neural model
- probabilistic model
- computational complexity
- faster convergence
- training data
- feature selection
- learning algorithm