A Contraction Theory Approach to Optimization Algorithms from Acceleration Flows.
Pedro Cisneros-VelardeFrancesco BulloPublished in: CoRR (2021)
Keyphrases
- optimization problems
- computational cost
- computationally efficient
- learning algorithm
- data structure
- mathematical foundations
- discrete optimization
- evolutionary algorithm
- worst case
- theoretical analysis
- orders of magnitude
- benchmark datasets
- complex optimization problems
- genetic algorithm
- global optimization
- computationally expensive
- optimization algorithm
- support vector
- machine learning algorithms
- times faster
- significant improvement
- linear algebra
- lower bound
- computational complexity
- stochastic search
- optimization strategies