Quadratic Convergence of a Primal-Dual Interior Point Method for Degenerate Nonlinear Optimization Problems.
Hiroshi YamashitaHiroshi YabePublished in: Comput. Optim. Appl. (2005)
Keyphrases
- primal dual
- interior point methods
- nonlinear optimization problems
- convergence rate
- semidefinite
- linear programming
- optimization problems
- nonlinear optimization
- convex optimization
- interior point algorithm
- linear programming problems
- semidefinite programming
- linear program
- computer vision
- convex programming
- convex functions
- approximation algorithms
- interior point
- objective function
- variational inequalities
- genetic algorithm
- inequality constraints
- autocalibration
- convergence speed
- simplex method
- global convergence
- pairwise
- convex optimization problems
- computational complexity
- quadratic programming
- solving problems
- feasible solution
- image processing