Manifold Sampling for Optimization of Nonconvex Functions That Are Piecewise Linear Compositions of Smooth Components.
Kamil A. KhanJeffrey LarsonStefan M. WildPublished in: SIAM J. Optim. (2018)
Keyphrases
- piecewise linear
- convex functions
- global optimization
- optimization problems
- principal curves
- chaotic map
- finite sets
- dynamic programming
- nonlinear programming
- parameter space
- binary variables
- optimization algorithm
- smooth curves
- image restoration and reconstruction
- manifold learning
- objective function
- learning algorithm
- hyperplane
- sample size
- low dimensional
- principal component analysis
- active learning
- evolutionary algorithm
- image processing