Decomposition-based interior point methods for stochastic quadratic second-order cone programming.
Baha AlzalgPublished in: Appl. Math. Comput. (2014)
Keyphrases
- interior point methods
- convex optimization
- semidefinite
- linear programming
- linear program
- convex programming
- quadratic programming
- semidefinite programming
- primal dual
- quadratically constrained quadratic
- interior point
- quadratic program
- solving problems
- computationally intensive
- semi infinite
- linear programming problems
- cutting plane method
- pairwise
- linear systems
- convex functions
- computational complexity
- low rank
- optimal solution
- objective function
- data points
- missing data
- image processing