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On the relative strength of split, triangle and quadrilateral cuts
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Source Symposium on Discrete Algorithms archive
Proceedings of the Nineteenth Annual ACM -SIAM Symposium on Discrete Algorithms table of contents
New York, New York
Pages 1220-1229  
Year of Publication: 2009
Authors
Amitabh Basu  Carnegie Mellon University
Pierre Bonami  Université de Marseille, France
Gérard Cornuéjols  Carnegie Mellon University
François Margot  Carnegie Mellon University
Publisher
Society for Industrial and Applied Mathematics  Philadelphia, PA, USA
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ABSTRACT

Integer programs defined by two equations with two free integer variables and nonnegative continuous variables have three types of nontrivial facets: split, triangle or quadrilateral inequalities. In this paper, we compare the strength of these three families of inequalities. In particular we study how well each family approximates the integer hull. We show that, in a well defined sense, triangle inequalities provide a good approximation of the integer hull. The same statement holds for quadrilateral inequalities. On the other hand, the approximation produced by split inequalities may be arbitrarily bad.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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E. Balas, Intersection Cuts - A New Type of Cutting Planes for Integer Programming, Operations Research 19 (1971) 19--39.
 
3
 
4
 
5
V. Borozan and G. Cornuéjols, Minimal Valid Inequalities for Integer Constraints, technical report (July 2007), available at http://integer.tepper.cmu.edu/.
 
6
 
7
G. Cornuéjols and F. Margot, On the Facets of Mixed Integer Programs with Two Integer Variables and Two Constraints, to appear in Mathematical Programming.
 
8
H. Crowder, E. L. Johnson, M. Padberg, Solving Large-Scale Zero-One Linear Programming Problems, Operations Research 31 (1983) 803--834.
 
9
 
10
S. S. Dey and L. A. Wolsey, Lifting Integer Variables in Minimal Inequalities Corresponding to Lattice-Free Triangles, IPCO 2008, Bertinoro, Italy (June 2008), Lecture Notes in Computer Science 5035, 463--476.
 
11
D. Espinoza, Computing with multi-row Gomory cuts, IPCO 2008, Bertinoro, Italy (June 2008), Lecture Notes in Computer Science 5035, 214--224.
 
12
 
13
R. E. Gomory, An Algorithm for Integer Solutions to Linear Programs, Recent Advances in Mathematical Programming, R. L. Graves and P. Wolfe eds., McGraw-Hill, New York (1963) 269--302.
 
14
R. E. Gomory, Thoughts about Integer Programming, 50th Anniversary Symposium of OR, University of Montreal, January 2007, and Corner Polyhedra and Two-Equation Cutting Planes, George Nemhauser Symposium, Atlanta, July 2007.
 
15
L. Lovász, Geometry of Numbers and Integer Programming, Mathematical Programming: Recent Developments and Applications, M. Iri and K. Tanabe eds., Kluwer (1989) 177--210.
 
16
 
17
R. R. Meyer, On the Existence of Optimal Solutions to Integer and Mixed Integer Programming Problems, Mathematical Programming 7 (1974) 223--235.
 
18
A. Basu, P. Bonami, G. Cornuejols, F. Margot, On the Relative Strength of Split, Triangle and Quadrilateral Cuts, Optimization Online, http://www.optimization-online.org/DB.HTML/2008/08/2060.html
 
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Collaborative Colleagues:
Amitabh Basu: colleagues
Pierre Bonami: colleagues
Gérard Cornuéjols: colleagues
François Margot: colleagues