Superlinear convergence of Broyden's method and BFGS algorithm using Kantorovich-type assumptions.
S. H. LuiSarah NatajPublished in: J. Comput. Appl. Math. (2021)
Keyphrases
- cost function
- clustering method
- dynamic programming
- optimization algorithm
- convergence rate
- objective function
- optimization method
- support vector machine svm
- newton method
- k means
- superlinear convergence
- learning algorithm
- quasi newton
- hybrid algorithm
- genetic algorithm
- regularized least squares
- training samples
- training algorithm
- feature selection
- optimal solution
- primal dual
- negative matrix factorization
- optimization procedure
- computationally intensive
- global optimum
- step size
- np hard
- sensitivity analysis
- support vector machine
- energy function
- particle swarm optimization