Local convergence of Newton-like methods for degenerate eigenvalues of nonlinear eigenproblems: II. Accelerated algorithms.
Daniel B. SzyldFei XuePublished in: Numerische Mathematik (2015)
Keyphrases
- computational cost
- methods outperform
- benchmark datasets
- methods require
- computationally expensive
- computational complexity
- significant improvement
- quasi newton
- computer vision algorithms
- synthetic and real datasets
- statistical methods
- iterative algorithms
- optimization problems
- computationally intensive
- machine learning methods
- newton method
- stochastic approximation
- learning algorithm
- faster convergence rate
- heuristic methods
- machine learning algorithms
- data mining techniques
- feature space
- objective function