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Taschenbuch. Condition: 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.
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Condition: New.
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Condition: New. Print on Demand pp. 118.
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Condition: New. PRINT ON DEMAND pp. 118.
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Genetic Theory for Cubic Graphs
Book 1 of 10: SpringerBriefs in Operations ResearchLanguage: English
Published by Springer International Publishing, 2015
ISBN 10: 3319196790 ISBN 13: 9783319196794
Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Pouya Baniasadi is a doctoral student in mathematics at Flinders University, Australia. He is a recipient of the AF Pillow Applied Mathematics Scholarship from the AF Pillow Mathematics Trust, Australia.Vladimir Ejov is the leader of the Mathemati.
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Markov Chain Based Algorithms for the Hamiltonian Cycle Problem
Language: English
Published by Scholars' Press Nov 2013, 2013
ISBN 10: 3639703227 ISBN 13: 9783639703221
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: 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.
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Condition: 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.
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Markov Chain Based Algorithms for the Hamiltonian Cycle Problem
Language: English
Published by Scholars' Press Nov 2013, 2013
ISBN 10: 3639703227 ISBN 13: 9783639703221
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: 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.
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Condition: New. Print on Demand.
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Taschenbuch. Condition: 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.
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Condition: New. PRINT ON DEMAND.
