Computable centering methods for spiraling algorithms and their duals, with motivations from the theory of Lyapunov functions.
Scott B. LindstromPublished in: Comput. Optim. Appl. (2022)
Keyphrases
- significant improvement
- computational cost
- benchmark datasets
- computationally expensive
- computational complexity
- optimization methods
- theoretical analysis
- statistical methods
- methods outperform
- control theory
- linear algebra
- mathematical models
- data structure
- machine learning methods
- stability analysis
- methods can be applied
- computationally demanding
- preprocessing
- mathematical foundations
- methods require
- evolutionary algorithm
- synthetic and real datasets
- optimization problems
- dynamical systems
- computer vision algorithms
- heuristic methods
- exhaustive search
- data mining techniques
- sufficient conditions
- search methods
- theoretical framework
- basis functions