Parallel computational issues of an interior point method for solving large bound-constrained quadratic programming problems.
Marco D'ApuzzoMarina MarinoPublished in: Parallel Comput. (2003)
Keyphrases
- quadratic programming problems
- computational issues
- interior point methods
- systems of linear equations
- coefficient matrix
- equality constraints
- convex optimization
- quadratic programming
- linear program
- semidefinite programming
- linear programming
- support vector machine
- primal dual
- upper bound
- lower bound
- solving problems
- computationally intensive
- machine learning
- worst case
- objective function
- image processing