Computational Optimization and Applications - Open Access Articles

Computational Optimization and Applications publishes open access articles that are freely available online. Recent open access articles in the journal include:

• Convergence of successive linear programming algorithms for noisy functions
  Christoph Hansknecht, Christian Kirches & Paul Manns

• A projected-search interior-point method for nonlinearly constrained optimization
  Philip E. Gill & Minxin Zhang

• An infeasible interior-point arc-search method with Nesterov’s restarting strategy for linear programming problems
  Einosuke Iida & Makoto Yamashita

• An inexact regularized proximal Newton method for nonconvex and nonsmooth optimization
  Ruyu Liu, Shaohua Pan, Yuqia Wu & Xiaoqi Yang

• Convex approximations of two-stage risk-averse mixed-integer recourse models
  E. Ruben van Beesten, Ward Romeijnders & Kees Jan Roodbergen
  
  View All Open Access Articles in Computational Optimization and Applications

If you are interested in publishing an open access article in Computational Optimization and Applications, learn more about Springer's Open Choice program and also Springer's Compact Agreements with participating countries and institutions that cover open access costs for authors.