Quadratic Programming#
Release: 1.0
Date: 18 June 2024
Author: Jaroslav Fowkes and Nick Gould
GALAHAD [1] is a suite of open-source routines for large-scale continuous optimization. Currently there are eight packages designed to solve quadratic programming problems of various kinds.
- BQP - bound-constrained quadratic programming using a preconditioned, projected-gradient method
- BQPB - bound-constrained quadratic programming using an interior-point method
- CQP - convex quadratic programming using an interior-point method
- CRO - crossover from an interior-point to basic solution for convex quadratic programming
- DQP - convex quadratic programming using a dual active-set method
- EQP - equality-constrained quadratic programming using an iterative method
- LSQP - linear or separable convex quadratic programming using an interior-point trust-region method
- QPA - non-convex quadratic programming using an active-set method
- QPB - non-convex quadratic programming using an interior-point method