Mathematical Programming publishes original articles dealing with every aspect of mathematical programming; that is, everything of direct or indirect use concerning the problem of optimizing a function of many variables, often subject to a set of constraints. This involves theoretical and computational issues as well as application studies. Included, along with the standard topics of linear, nonlinear, integer and stochastic programming, are computational testing, techniques for formulating and applying mathematical programming models, unconstrained optimization, convexity and the theory of polyhedra, and control and game theory viewed from the perspective of mathematical programming. The editorial boards are particularly interested in novel applications of mathematical programming and interfaces with computer science. Mathematical Programming consists of two series: Series A publishes original research articles, expositions and surveys, and reports on computational experimentation and new or innovative practical applications as well as short communications dealing with the above. Each issue of Series B focuses on a single subject, selected to respond to the current interests of the mathematical programming community and has one or more guest-editors, who need not be members of the editorial board. An issue may be a collection of original articles, a single research monograph or a selection of papers from an appropriate conference.