JOURNAL ON OPTIMIZATION
The SIAM Journal on Optimization contains research articles on the theory and
practice of optimization. The areas addressed include linear and quadratic
programming, convex programming, nonlinear programming, complementarity
problems, stochastic optimization, combinatorial optimization, integer
programming, and convex, nonsmooth and variational analysis. Contributions may
emphasize optimization theory, algorithms, software, computational practice,
applications, or the links between these subjects.