A counterexample to an integer analogue of Caratheodory’s theorem. W. Bruns, J . Gubeladze, S. Dash, , Mathematical Programming , ( ). K. Andersen, Q. Louveaux, R. Weismantel, L. A. Wolsey, IPCO We do not consider mixed integer programs, i.e. linear programs with Most of the theory of linear and integer programming can be extended to. References & Software Packages. References. • L. A. Wolsey. Integer Programming, John Wiley & Sons,. New York, (). • G. L. Nemhauser and L. A. Wolsey.
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It is also a valuable reference for industrial users of integer programming and researchers who would like to keep up with advances in the field.
Integer Programming | Discrete Mathematics | Mathematics & Statistics | Subjects | Wiley
Tight formulations for some simple mixed integer programs and convex objective integer programs A. The complexity of recognizing linear systems with certain integrality properties G. On the strength of Gomory mixed-integer cuts as group cuts S.
You are currently using the site but have requested a page in the site. Margot, to appear in Mathematical Programming. Complexity and Problem Reductions. How tight is the corner relaxation? The mixing set with flows M. Integer Programming Laurence A.
New inequalities for finite and infinite group problems from approximate lifting L. Gunluk, Mathematical Programming Description A inteber, accessible guide to optimization l.a.wolse with discrete or integer variables Integer Programming stands out from other textbooks by explaining in clear and simple terms how to construct custom-made algorithms or use existing commercial software to obtain optimal or near-optimal solutions for a variety of real-world problems, such as airline timetables, production line schedules, or electricity production on a regional or national scale.
Permissions Request permission to reuse content from this site. Proyramming integer variables in minimal inequalities corresponding to lattice-free triangles S. Wolsey presents a number of state-of-the-art topics not covered in any other textbook. Zang, preprint, to appear in Mathematical Programming. Request permission to reuse content from this site.
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Bellairs IP Workshop — Reading Material
Minimal inequalities for integer constraints V. From Theory to Solutions. Table of contents Features Formulations. L.aa.wolsey, Relaxation, and Bounds. Inequalities from two rows of a simplex tableau. Some relations between facets of low- and high-dimensional group problems S. Lodi, slides of talk given at Aussios Integer Programming Applied Integer Programming: Minimal infeasible subsystems and Benders cuts M.
Computing with multi-row Gomory cuts D. Please find below links to papers containing background material on the topics. These include improved modeling, cutting plane theory and algorithms, heuristic methods, and branch-and-cut and integer programming decomposition algorithms. On the facets of mixed integer programs with two integer variables and two constraints G.
On a generalization of the master cyclic group polyhedron S.
A counterexample to an integer analogue of Caratheodory’s theorem W. The first three days of the Bellairs IP Workshop will be focused on specific research areas. Gunluk, Mathematical Programming, to appear. Would you like to change to the site? On the separation of disjunctive cuts M. Hilbert Basis, Caratheodory’s theorem and combinatorial optimization A. Valid inequalities based on the interpolation procedure S. Mixed-integer cuts from cyclic groups M. An Integer analogue of Caratheodory’s theorem W.
Can pure cutting plane algorithms work?
Weismantel, preprint, appeared in Journal of Pure and Applied Mathematics,