Partition Function (Mathematics): Probability Theory, Normalizing Constant, Information Science - Couverture souple
Synopsis
Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. The partition function or configuration integral, as used in probability theory, information science and dynamical systems, is an abstraction of the definition of a partition function in statistical mechanics. It is a special case of a normalizing constant in probability theory, for the Boltzmann distribution. The partition function occurs in many problems of probability theory because, in situations where there is a natural symmetry, its associated probability measure, the Gibbs measure, has the Markov property. This means that the partition function occurs not only in physical systems with translation symmetry, but also in such varied settings as neural networks (the Hopfield network), and applications such as genomics, corpus linguistics and artificial intelligence, which employ Markov networks, and Markov logic networks. The Gibbs measure is also the unique measure that has the property of maximizing the entropy for a fixed expectation value of the energy; this underlies the appearance of the partition function in maximum entropy methods and the algorithms derived therefrom.
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Partition Function (Mathematics)
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -High Quality Content by WIKIPEDIA articles! The partition function or configuration integral, as used in probability theory, information science and dynamical systems, is an abstraction of the definition of a partition function in statistical mechanics. It is a special case of a normalizing constant in probability theory, for the Boltzmann distribution. The partition function occurs in many problems of probability theory because, in situations where there is a natural symmetry, its associated probability measure, the Gibbs measure, has the Markov property. This means that the partition function occurs not only in physical systems with translation symmetry, but also in such varied settings as neural networks (the Hopfield network), and applications such as genomics, corpus linguistics and artificial intelligence, which employ Markov networks, and Markov logic networks. The Gibbs measure is also the unique measure that has the property of maximizing the entropy for a fixed expectation value of the energy; this underlies the appearance of the partition function in maximum entropy methods and the algorithms derived therefrom. 92 pp. Englisch. N° de réf. du vendeur 9786131091438
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Partition Function (Mathematics) : Probability Theory, Normalizing Constant, Information Science
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - High Quality Content by WIKIPEDIA articles! The partition function or configuration integral, as used in probability theory, information science and dynamical systems, is an abstraction of the definition of a partition function in statistical mechanics. It is a special case of a normalizing constant in probability theory, for the Boltzmann distribution. The partition function occurs in many problems of probability theory because, in situations where there is a natural symmetry, its associated probability measure, the Gibbs measure, has the Markov property. This means that the partition function occurs not only in physical systems with translation symmetry, but also in such varied settings as neural networks (the Hopfield network), and applications such as genomics, corpus linguistics and artificial intelligence, which employ Markov networks, and Markov logic networks. The Gibbs measure is also the unique measure that has the property of maximizing the entropy for a fixed expectation value of the energy; this underlies the appearance of the partition function in maximum entropy methods and the algorithms derived therefrom. N° de réf. du vendeur 9786131091438
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Partition Function (Mathematics) | Probability Theory, Normalizing Constant, Information Science
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Taschenbuch. Etat : Neu. Partition Function (Mathematics) | Probability Theory, Normalizing Constant, Information Science | Lambert M. Surhone (u. a.) | Taschenbuch | Englisch | 2026 | OmniScriptum | EAN 9786131091438 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand. N° de réf. du vendeur 113272158
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Partition Function (Mathematics)
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Please note that the content of this book primarily consists of articlesavailable from Wikipedia or other free sources online. The partitionfunction or configuration integral, as used in probability theoryinformation science and dynamical systems, is an abstraction of thedefinition of a partition function in statistical mechanics. It is aspecial case of a normalizing constant in probability theory, for theBoltzmann distribution. The partition function occurs in many problemsof probability theory because, in situations where there is a naturalsymmetry, its associated probability measure, the Gibbs measure, has theMarkov property. This means that the partition function occurs not onlyin physical systems with translation symmetry, but also in such variedsettings as neural networks (the Hopfield network), and applicationssuch as genomics, corpus linguistics and artificial intelligence, whichemploy Markov networks, and Markov logic networks. The Gibbs measure isalso the unique measure that has the property of maximizing the entropyfor a fixed expectation value of the energy; this underlies theappearance of the partition function in maximum entropy methods and thealgorithms derived therefrom.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 92 pp. Englisch. N° de réf. du vendeur 9786131091438
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