Mathematical Programming publishes original articles dealing with every aspect of mathematical optimization; 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| conic| stochastic and combinatorial optimization| are techniques for formulating and applying mathematical programming models| convex| nonsmooth and variational analysis| the theory of polyhedra| variational inequalities| and control and game theory viewed from the perspective of mathematical programming.
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