Results 111 to 120 of about 7,009 (143)
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Polyhedral Combinatorics of Benzenoid Problems
1998Many chemical properties of benzenoid hydrocarbons can be understood in terms of the maximum number of mutually resonant hexagons, or Clar number, of the molecules. Hansen and Zheng (1994) formulated this problem as an integer program and conjectured, based on computational evidence, that solving the linear programming relaxation always yields integral
Hernán Abeledo, Gary Atkinson
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Nondecomposable solutions to group equations and an application to polyhedral combinatorics
4OR, 2006This paper is based on the study of the set of nondecomposable integer solutions in a Gomory corner polyhedron, which was recently used in a reformulation method for integer linear programs. In this paper, we present an algorithm for efficiently computing this set.
Matthias Jach +2 more
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Topics of polyhedral combinatorics in transportation problems with exclusions
Cybernetics, 1991We derive a number of new results for \(k\)-regular transportation polyhedra (TPs) with a given number of faces: fairly accurate upper bounds for the minimum and lower bounds for the maximum number of vertices; achievable upper and lower bounds on the diameter and the radius.
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Polyhedral methods applied to extremal combinatorics problems
2014Wir untersuchen Polytope, die zwei bekannte Probleme beschreiben: das Hypergraphen-Problem von Turán und die Vermutung von Frankl. Das Hypergraphen-Problem von Turán bestimmt die maximale Anzahl der r-Kanten in einem r-Hypergraph mit n Knoten, so dass der daraus entstandene r-Teil-Hypergraph keine Clique der Größe a enthält.
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Edmonds, matching and the birth of polyhedral combinatorics
2012It is always good to read the history and learn from it. An extra volume of \textit{Documenta Mathematica}, \textit{Optimization Stories}, provides wonderful reviews on historical people, events and important results in the field of optimization. The paper is one of those which appear in this volume.
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Neural Computation, 2007
According to the proof by Liu, Chiu, and Xu (2004) on the so-called one-bit-matching conjecture (Xu, Cheung, and Amari, 1998a), all the sources can be separated as long as there is an one-to-one same-sign correspondence between the kurtosis signs of all source probability density functions (pdf's) and the kurtosis signs of all model pdf's, which is ...
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According to the proof by Liu, Chiu, and Xu (2004) on the so-called one-bit-matching conjecture (Xu, Cheung, and Amari, 1998a), all the sources can be separated as long as there is an one-to-one same-sign correspondence between the kurtosis signs of all source probability density functions (pdf's) and the kurtosis signs of all model pdf's, which is ...
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International Journal of Quantum Chemistry, 2002
AbstractThe M‐based hierarchy cardinalities of spin irreps for \documentclass{article}\pagestyle{empty}\begin{document}$[A]_{20}^{(I_{i}=1)}$\end{document} uniform nuclear magnetic resonance (NMR) /isotopomer spin ensembles are derived. Such ideas define the completeness of the number‐partition‐based (intermediate) combinatorial designs (on M ...
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AbstractThe M‐based hierarchy cardinalities of spin irreps for \documentclass{article}\pagestyle{empty}\begin{document}$[A]_{20}^{(I_{i}=1)}$\end{document} uniform nuclear magnetic resonance (NMR) /isotopomer spin ensembles are derived. Such ideas define the completeness of the number‐partition‐based (intermediate) combinatorial designs (on M ...
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Polyhedral Combinatorics of Quadratic Assignment Problems with Less Objects than Locations
1998For the classical quadratic assignment problem (QAP) that requires n objects to be assigned to n locations (the n × n-case), polyhe- dral studies have been started in the very recent years by several authors. In this paper, we investigate the variant of the QAP, where the number of locations may exceed the number of objects (the m × n-case).
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Recent Advances in Polyhedral Combinatorics
2018Combinatorial optimization searches for an optimal object in a nite collection; typically the collection has a concise representation while the number of objects is huge. Polyhedral and linear programming techniques have proved to be very powerful and successful in tackling various combinatorial optimization problems, and the end products of these ...
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