On the convergence of interior-reflective Newton methods for nonlinear minimization subject to bounds.
Thomas F. ColemanYuying LiPublished in: Math. Program. (1994)
Keyphrases
- rates of convergence
- weight update
- lower bound
- convergence rate
- upper bound
- objective function
- stationary points
- neural network
- nonlinear optimization
- number of iterations required
- finite sample
- global convergence
- proximal point algorithm
- complementarity problems
- convergence speed
- worst case
- iterative algorithms
- nonlinear models
- lower and upper bounds
- error bounds