Computational methods for large-scale quadratic programming
For theoretical and practical reasons, quadratic programming problems have attracted the interest of the mathematical programming community. They naturally arise from applications and as subproblems in other numerical techniques. However most existing techniques, designed for solving small and dense...
Main Author: | Morales-Perez, Jose Luis |
---|---|
Published: |
Imperial College London
1993
|
Subjects: | |
Online Access: | http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.505913 |
Similar Items
-
A tolerance-tube approach to sequential quadratic programming with applications
by: Zoppke-Donaldson, Christine
Published: (1995) -
Interior point methods for nonlinear programming and application to mixed integer nonlinear programming
by: Akrotirianakis, Ioannis
Published: (2011) -
Computably extendible order types
by: Gay, James Robert Kishore
Published: (2016) -
Importance sampling for stochastic programming
by: Tran, Quang Kha
Published: (2016) -
Problem-driven scenario generation for stochastic programs
by: Fairbrother, Jamie
Published: (2016)