Local convergence of Newton-like methods for degenerate eigenvalues of nonlinear eigenproblems. I. Classical algorithms.
Daniel B. SzyldFei XuePublished in: Numerische Mathematik (2015)
Keyphrases
- significant improvement
- methods outperform
- benchmark datasets
- computationally expensive
- computational cost
- convergence analysis
- learning algorithm
- search methods
- machine learning algorithms
- quasi newton
- machine learning methods
- methods require
- data mining techniques
- evolutionary algorithm
- optimization methods
- computationally intensive
- computer vision algorithms
- iterative algorithms
- stopping criteria
- synthetic and real datasets
- covariance matrix
- worst case
- computational complexity
- data structure
- face recognition