Interior-point methods for nonconvex nonlinear programming: regularization and warmstarts.
Hande Y. BensonDavid F. ShannoPublished in: Comput. Optim. Appl. (2008)
Keyphrases
- nonlinear programming
- interior point methods
- linear programming
- semidefinite programming
- linear program
- primal dual
- optimality conditions
- interior point
- variational inequalities
- convex optimization
- quadratic programming
- optimal solution
- optimization problems
- objective function
- column generation
- linear constraints
- kernel matrix
- convergence rate
- dynamic programming
- machine learning
- mixed integer nonlinear programming