Computational Optimization and Applications is a peer-reviewed journal dedicated to the timely publication of research and tutorial papers on the analysis and development of optimization computational algorithms and modeling techniques. The journal is interested in algorithms for general optimization problems as well as more specific application problems, including both stochastic and deterministic algorithms. Papers that provide theoretical analysis and well-designed computational experiments are particularly welcome. Topics of interest include, but are not limited to: large-scale optimization, unconstrained optimization, linear programming, quadratic programming complementarity problems, variational inequalities, constrained optimization, nonsmooth optimization, integer programming, combinatorial optimization, stochastic optimization, multi-objective optimization, network optimization, complexity theory, approximation and error analysis, parametric programming and sensitivity analysis, parallel computing, distributed computing, vector processing, software, benchmarks, numerical experiments and comparisons, modeling languages and systems for optimization, automatic differentiation, and applications in engineering, finance, optimization control, optimization design, operations research, transportation, economics, communications, manufacturing, and management science.