9783330080737 - The information hidden in Markov diffusion de Lerner, Vladimir S. (7 resultados)

Paperback. Condición: Brand New. 104 pages. 8.66x5.91x0.24 inches. In Stock.

Taschenbuch. Condición: Neu. The information hidden in Markov diffusion | Vladimir S. Lerner | Taschenbuch | 104 S. | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9783330080737 | 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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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -We study emergence of quantum, dynamic information, and arising an information observer under impulse interactive actions in Markov diffusion process modeling random environment. The interactive delta-impulse of Markov diffusion process cuts the process correlation revealing hidden information connecting the process inner states. Information appears as phenomenon of interactions. The impulse probing probabilities, observing random process under Kolmogorov's 1-0 law, link Bayesian probabilities that increases each posterior correlation and reduces conditional entropy measures up to cutting this entropy by high probable impulse. Cutting random process correlation, covering the interactive internal events, reveals underneath both hidden quantum and classical information. The cutting entropy sequentially converts to information and memorizes the impulse probabilistic logic in bits, which participates in next conversions and encoding. The impulse step-down action cuts a maximum of impulse' minimal uncertainty-entropy, and the impulse' step-up action transforms the cutting portion to ending impulse state, where it kills the uncertainty, delivering the equal minimax information. 104 pp. Englisch.

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Lerner Vladimir S.Dr. Vladimir S. Lerner is a Computer Scientist and Professor in Systems Analysis and Modeling. Professor Lerner has taught at California University at Los Angeles, West Coast University, National University and als.

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -We study emergence of quantum, dynamic information, and arising an information observer under impulse interactive actions in Markov diffusion process modeling random environment. The interactive delta-impulse of Markov diffusion process cuts the process correlation revealing hidden information connecting the process inner states. Information appears as phenomenon of interactions. The impulse probing probabilities, observing random process under Kolmogorov¿s 1-0 law, link Bayesian probabilities that increases each posterior correlation and reduces conditional entropy measures up to cutting this entropy by high probable impulse. Cutting random process correlation, covering the interactive internal events, reveals underneath both hidden quantum and classical information. The cutting entropy sequentially converts to information and memorizes the impulse probabilistic logic in bits, which participates in next conversions and encoding. The impulse step-down action cuts a maximum of impulse¿ minimal uncertainty-entropy, and the impulse¿ step-up action transforms the cutting portion to ending impulse state, where it kills the uncertainty, delivering the equal minimax information.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 104 pp. Englisch.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - We study emergence of quantum, dynamic information, and arising an information observer under impulse interactive actions in Markov diffusion process modeling random environment. The interactive delta-impulse of Markov diffusion process cuts the process correlation revealing hidden information connecting the process inner states. Information appears as phenomenon of interactions. The impulse probing probabilities, observing random process under Kolmogorov's 1-0 law, link Bayesian probabilities that increases each posterior correlation and reduces conditional entropy measures up to cutting this entropy by high probable impulse. Cutting random process correlation, covering the interactive internal events, reveals underneath both hidden quantum and classical information. The cutting entropy sequentially converts to information and memorizes the impulse probabilistic logic in bits, which participates in next conversions and encoding. The impulse step-down action cuts a maximum of impulse' minimal uncertainty-entropy, and the impulse' step-up action transforms the cutting portion to ending impulse state, where it kills the uncertainty, delivering the equal minimax information.