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 (this opens in a new tab)
Christoph Hansknecht, Christian Kirches & Paul MannsA projected-search interior-point method for nonlinearly constrained optimization (this opens in a new tab)
Philip E. Gill & Minxin ZhangAn infeasible interior-point arc-search method with Nesterov’s restarting strategy for linear programming problems (this opens in a new tab)
Einosuke Iida & Makoto YamashitaAn inexact regularized proximal Newton method for nonconvex and nonsmooth optimization (this opens in a new tab)
Ruyu Liu, Shaohua Pan, Yuqia Wu & Xiaoqi YangConvex approximations of two-stage risk-averse mixed-integer recourse models (this opens in a new tab)
E. Ruben van Beesten, Ward Romeijnders & Kees Jan Roodbergen
View All Open Access Articles in Computational Optimization and Applications (this opens in a new tab)
If you are interested in publishing an open access article in Computational Optimization and Applications, learn more about Springer's Open Choice (this opens in a new tab) program and also Springer's Compact Agreements (this opens in a new tab) with participating countries and institutions that cover open access costs for authors.