An interior-point method for nonlinear optimization problems with locatable and separable nonsmoothness.
Martin SchmidtPublished in: EURO J. Comput. Optim. (2015)
Keyphrases
- interior point methods
- nonlinear optimization problems
- convex optimization
- nonlinear optimization
- optimization problems
- linear programming
- linear program
- semidefinite programming
- primal dual
- quadratic programming
- computer vision
- genetic algorithm
- autocalibration
- computationally intensive
- solving problems
- evolutionary algorithm
- objective function
- global search
- total variation
- image restoration
- dynamic programming