Search Results - subject:"subgradient method"

Interior Epigraph Directions method for nonsmooth and nonconvex optimization via generalized augmented Lagrangian duality

Burachik, Regina; Freire, Wilhelm; Kaya, C. - In: Journal of Global Optimization 60 (2014) 3, pp. 501-529

We propose and study a new method, called the Interior Epigraph Directions (IED) method, for solving constrained nonsmooth and nonconvex optimization. The IED method considers the dual problem induced by a generalized augmented Lagrangian duality scheme, and obtains the primal solution by...

Persistent link: https://www.econbiz.de/10010938217

An infeasible-point subgradient method using adaptive approximate projections

Lorenz, Dirk; Pfetsch, Marc; Tillmann, Andreas - In: Computational Optimization and Applications 57 (2014) 2, pp. 271-306

We propose a new subgradient method for the minimization of nonsmooth convex functions over a convex set. To speed up …

Persistent link: https://www.econbiz.de/10010998277

A vicosity method with no spectral radius requirements for the split common fixed point problem

Maingé, Paul-Emile - In: European journal of operational research : EJOR 235 (2014) 1, pp. 17-27

Persistent link: https://www.econbiz.de/10010361415

A subgradient method for multiobjective optimization

Neto, J. Cruz; Silva, G.; Ferreira, O.; Lopes, J. - In: Computational Optimization and Applications 54 (2013) 3, pp. 461-472

this paper. This method extends to the multiobjective case of the classical subgradient method for real-valued minimization …

Persistent link: https://www.econbiz.de/10010998264

Image collection planning for KOrea Multi-Purpose SATellite-2

Jang, Jinbong; Choi, Jiwoong; Bae, Hee-Jin; Choi, In-Chan - In: European Journal of Operational Research 230 (2013) 1, pp. 190-199

This paper studies an image collection planning problem for a Korean satellite, KOMPSAT-2 (KOrea Multi-Purpose SATellite-2). KOMPSAT-2 has the mission goal of maximizing image acquisition in time and quality requested by customers and operates under several complicating conditions. One of the...

Persistent link: https://www.econbiz.de/10010666100

Lagrangian Decomposition for large-scale two-stage stochastic mixed 0-1 problems

Escudero, L.; Garín, M.; Pérez, G.; Unzueta, A. - In: TOP: An Official Journal of the Spanish Society of … 20 (2012) 2, pp. 347-374

Persistent link: https://www.econbiz.de/10010995369

An inexact modified subgradient algorithm for nonconvex optimization

Burachik, Regina; Kaya, C.; Mammadov, Musa - In: Computational Optimization and Applications 45 (2010) 1, pp. 1-24

Persistent link: https://www.econbiz.de/10008624705