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Discrete Applied Mathematics
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Discrete Applied Mathematics
Article . 1989
License: Elsevier Non-Commercial
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Discrete Applied Mathematics
Article . 1989 . Peer-reviewed
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Representability of functions

Authors: Jeroslow, R.G.;

Representability of functions

Abstract

This paper is a continuation of an earlier paper of the author [ibid. 17, 223-243 (1987; Zbl 0618.90069)]. A set \(S\leq R^ K\) is called bounded MIP representable (B-MIP.R) if there is a linear transformation F(x,y) together with a subset \(K\subseteq \{1,...,n\}\) of the set of indices of the auxiliary variables \(y=(y_ 1,...,y_ n)\) and a vector \(b\in R^ m\) for which the following holds: \[ (1)\quad x\in S\quad \Leftrightarrow \quad there\quad exists\quad y\quad with\quad y_ k\in \{0,1\}\quad for\quad k\in K,\quad and\quad F(x,y)\leq b. \] When (1) holds, the triple (F,K,b) is called a representation of S. When \(K=\emptyset\) in (1), the representation is called ``simple''. Three kinds of representability: min-, max-, and constraint-representability are defined: 1. A function F is min-B-MIP.R if its epigraph \(EPI(F)=\{(r,x)|\) \(r\geq F(x)\}\) is B-MIP.R. 2. F is max-B-MIP.R if its hypograph \(HYPO(F)=\{(r,x)|\) \(r\leq F(x)\}\) is B.MIP.R. 3. F is constraint-B-MIP.R if its graph \(GPH(F)=\{(r,x)|\) \(r=F(x)\}\) is B-MIP.R. The main characterization results for constraint-B-MIP.R functions are: Theorem 3.1. A min- or max-B-MIP representable function F, with a bounded domain, is constraint-B-MIP-representable iff F is continuous on its domain.

Related Organizations
Keywords

representability, mixed-integer programming, Representability, Mixed integer programming, Applied Mathematics, Discrete Mathematics and Combinatorics, modeling

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Average
Top 10%
Average
hybrid