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Linear optimization problems defined over the polytope \(P(M,b)=conv\{x\in \{0,1\}^ n:\) Mx\(\equiv b\) (mod 2)\(\}\) are often used in modelling real world problems. The following results regarding P(M,b) are shown: (1) In order to characterize the facet defining inequalities of P(M,b) it is enough to characterize the facets that contain a given vertex. As a corollary it can be shown that P(M,b) is defined by the so-called cocircuit-inequalities. (2) Adjacency on P(M,b) is characterized. (3) The Hirsch conjecture is proved if the binary matroid associated with M contains on \(F^*_ 7\) minor.
Computational Theory and Mathematics, Linear programming, Discrete Mathematics and Combinatorics, binary matroid, Combinatorial aspects of matroids and geometric lattices, polyhedral combinatorics, Theoretical Computer Science
Computational Theory and Mathematics, Linear programming, Discrete Mathematics and Combinatorics, binary matroid, Combinatorial aspects of matroids and geometric lattices, polyhedral combinatorics, Theoretical Computer Science
citations 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). | 71 | |
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. | Top 10% | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |