A dual method for certain positive semidefinite quadratic programming problems
SIAM Journal on Scientific and Statistical Computing
Proximity control in bundle methods for convex
Mathematical Programming: Series A and B
New variants of bundle methods
Mathematical Programming: Series A and B
Variable metric bundle methods: from conceptual to implementable forms
Mathematical Programming: Series A and B - Special issue on computational nonsmooth optimization
Solving semidefinite quadratic problems within nonsmooth optimization algorithms
Computers and Operations Research
Solving nonlinear multicommodity flow problems by the analytic center cutting plane method
Mathematical Programming: Series A and B - Special issue: interior point methods in theory and practice
SIAM Journal on Optimization
Computational Combinatorial Optimization, Optimal or Provably Near-Optimal Solutions [based on a Spring School]
A Survey of Algorithms for Convex Multicommodity Flow Problems
Management Science
Lagrangian Relaxation via Ballstep Subgradient Methods
Mathematics of Operations Research
Mathematical Programming: Series A and B - Series B - Special Issue: Nonsmooth Optimization and Applications
Hi-index | 0.00 |
To optimize the quality of service through a telecommunication network, we propose an algorithm based on Lagrangian relaxation. The bundle-type dual algorithm is adapted to the present situation, where the dual function is the sum of a polyhedral function (coming from shortest path problems) and of a smooth function (coming from the congestion function).