Direct guaranteed lower eigenvalue bounds with optimal a priori convergence rates for the bi-Laplacian.
Carsten CarstensenSophie PuttkammerPublished in: CoRR (2021)
Keyphrases
- convergence rate
- lp norm
- worst case
- learning rate
- convergence speed
- number of iterations required
- lower bound
- optimal solution
- step size
- upper bound
- global convergence
- dynamic programming
- gaussian kernels
- special case
- principal component analysis
- covariance matrix
- mutation operator
- stopping criterion
- conjugate gradient