In 1992, it was demonstrated that the Hamiltonian cycle problem (HCP) may be embedded in a Markov decision process (MDP). This breakthrough enabled a number of new theoretical and algorithmic developments for HCP. In particular, optimisation models which are equivalent to HCP were constructed. However, the development of numerical procedures based on these models has lagged the rapid development of new theory. In this monograph, we progress a number of new algorithmic approaches that take advantage of the MDP perspective. The work presented within is separated into three primary chapters, each describing a different algorithmic approach to solving HCP.
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Dr. Michael Haythorpe completed his PhD in July, 2010 at University of South Australia, Adelaide. His research interests lie in graph theory, complexity, numerical optimisation and algorithm development. He currently holds a research fellow position at Flinders University.
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In 1992, it was demonstrated that the Hamiltonian cycle problem (HCP) may be embedded in a Markov decision process (MDP). This breakthrough enabled a number of new theoretical and algorithmic developments for HCP. In particular, optimisation models which are equivalent to HCP were constructed. However, the development of numerical procedures based on these models has lagged the rapid development of new theory. In this monograph, we progress a number of new algorithmic approaches that take advantage of the MDP perspective. The work presented within is separated into three primary chapters, each describing a different algorithmic approach to solving HCP. 344 pp. Englisch. Bestandsnummer des Verkäufers 9783639703221
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Haythorpe MichaelDr. Michael Haythorpe completed his PhD in July, 2010 at University of South Australia, Adelaide. His research interests lie in graph theory, complexity, numerical optimisation and algorithm development. He currently. Bestandsnummer des Verkäufers 4998780
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Taschenbuch. Zustand: Neu. Markov Chain Based Algorithms for the Hamiltonian Cycle Problem | Turning MDP Theory Into HCP Algorithms | Michael Haythorpe | Taschenbuch | 344 S. | Englisch | 2013 | Scholars' Press | EAN 9783639703221 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 105554836
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -In 1992, it was demonstrated that the Hamiltonian cycle problem (HCP) may be embedded in a Markov decision process (MDP). This breakthrough enabled a number of new theoretical and algorithmic developments for HCP. In particular, optimisation models which are equivalent to HCP were constructed. However, the development of numerical procedures based on these models has lagged the rapid development of new theory. In this monograph, we progress a number of new algorithmic approaches that take advantage of the MDP perspective. The work presented within is separated into three primary chapters, each describing a different algorithmic approach to solving HCP.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 344 pp. Englisch. Bestandsnummer des Verkäufers 9783639703221
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In 1992, it was demonstrated that the Hamiltonian cycle problem (HCP) may be embedded in a Markov decision process (MDP). This breakthrough enabled a number of new theoretical and algorithmic developments for HCP. In particular, optimisation models which are equivalent to HCP were constructed. However, the development of numerical procedures based on these models has lagged the rapid development of new theory. In this monograph, we progress a number of new algorithmic approaches that take advantage of the MDP perspective. The work presented within is separated into three primary chapters, each describing a different algorithmic approach to solving HCP. Bestandsnummer des Verkäufers 9783639703221
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