Results 241 to 250 of about 350,084 (285)
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Valid inequalities for binary linear codes
2009 IEEE International Symposium on Information Theory, 2009We study an integer programming (IP) based separation approach to find the maximum likelihood (ML) codeword for binary linear codes. An algorithm introduced in Tanatmis et al. is extended and improved with respect to decoding performance without increasing the worst case complexity. This is demonstrated on the LDPC and the BCH code classes.
Akin Tanatmis +5 more
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Proving inductive validity of constrained inequalities
Proceedings of the 18th International Symposium on Principles and Practice of Declarative Programming, 2016Rewriting induction (RI) frameworks consist of inference rules to prove equations to be inductive theorems of a given term rewriting system, i.e., to be inductively valid w.r.t. reduction of the given system. To prove inductive validity of inequalities within such frameworks, one may reduce inequalities to equations.
Takahiro Nagao, Naoki Nishida
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Minimal Valid Inequalities for Integer Constraints
Mathematics of Operations Research, 2009In this paper, we consider a semi-infinite relaxation of mixed-integer linear programs. We show that minimal valid inequalities for this relaxation correspond to maximal lattice-free convex sets, and that they arise from nonnegative, piecewise linear, positively homogeneous, convex functions.
Borozan, Valentin, Cornuejols, Gerard
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Valid Inequalities for the Lasdon-Terjung Production Model
The Journal of the Operational Research Society, 1992Summary: We consider a very simple integer program involving production of a single item and start-up costs for the standard machines first studied by Lasdon and Terjung. Solving directly as an integer program leads to prohibitively large branch and bound trees.
Vanderbeck, François +1 more
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Other Valid Inequalities and Facets
1997We describe in this chapter the other main known classes of valid inequalities defining facets of the cut polytope. The complete linear description of the cut polytope CUT n □ is known only for n ≤ 7; it is presented in Section 30.6.
Michel Marie Deza, Monique Laurent
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Valid Inequalities for Structured Integer Programs
2014In Chaps. 5 and 6 we have introduced several classes of valid inequalities that can be used to strengthen integer programming formulations in a cutting plane scheme. All these valid inequalities are “general purpose,” in the sense that their derivation does not take into consideration the structure of the specific problem at hand. Many integer programs
Michele Conforti +2 more
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Operations on Valid Inequalities and Facets
1997In this chapter we present several operations on valid inequalities and facets of the cut polytope. One of the basic properties of the cut polytope CUT n □ is that all its facets can be deduced from the facets of the cut cone CUT n using the so-called switching operation (cf. Section 26.3.2).
Michel Marie Deza, Monique Laurent
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Integer Programs and Valid Inequalities for Planning Problems
2000Part of the recent work in AI planning is concerned with the development of algorithms that regard planning as a combinatorial search problem. The underlying representation language is basically propositional logic. While this is adequate for many domains, it is not clear if it remains so for problems that involve numerical constraints, or optimization
Bockmayr, Alexander, Dimopoulos, Yannis
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Valid inequalities for concave piecewise linear regression
Operations Research Letters, 2019zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Gopalswamy, Karthick +2 more
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On validity conditions for the Poincaré inequality
Journal of Mathematical Sciences, 2013zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Nazarov, A. I., Poborchi, S. V.
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