Convergence of Multi-level Algorithms for a Class of Nonlinear Problems.
Dongho KimEun-Jae ParkBoyoon SeoPublished in: J. Sci. Comput. (2020)
Keyphrases
- optimization problems
- iterative algorithms
- learning algorithm
- stochastic shortest path
- problems in computer vision
- theoretical analysis
- computationally efficient
- convex optimization problems
- benchmark problems
- difficult problems
- orders of magnitude
- global minima
- convergence analysis
- neural network
- worst case
- stationary points
- nonlinear filters
- global convergence
- binary classification problems
- computational complexity
- control system
- approximate solutions
- partial solutions
- related problems
- test problems
- convergence rate
- search methods
- combinatorial optimization
- exact algorithms
- convex functions
- semidefinite
- run times
- convergence property
- computational cost