Charge Transport in Low Dimensional Semiconductor Structures: The Maximum Entropy Approach, Camiola Vito Dario, Mascali Giovanni, Romano Vittorio

Автор: Camiola Vito Dario, Mascali Giovanni, Romano Vittorio
Название: Charge Transport in Low Dimensional Semiconductor Structures: The Maximum Entropy Approach
ISBN: 3030359921 ISBN-13(EAN): 9783030359928
Издательство: Springer
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Цена: 93160.00 T
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Описание: This book offers, from both a theoretical and a computational perspective, an analysis of macroscopic mathematical models for description of charge transport in electronic devices, in particular in the presence of confining effects, such as in the double gate MOSFET.

Автор: Tiziano Squartini; Diego Garlaschelli
Название: Maximum-Entropy Networks
ISBN: 3319694367 ISBN-13(EAN): 9783319694368
Издательство: Springer
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Цена: 51230.00 T
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Описание: A final chapter offers various overarching remarks and take-home messages.By requiring no prior knowledge of network theory, the book targets a broad audience ranging from PhD students approaching these topics for the first time to senior researchers interested in the application of advanced network techniques to their field.

Автор: Wolfgang von der Linden; Volker Dose; Rainer Fisch
Название: Maximum Entropy and Bayesian Methods Garching, Germany 1998
ISBN: 0792357663 ISBN-13(EAN): 9780792357667
Издательство: Springer
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Цена: 181630.00 T
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Описание: Taken from the 1998 MaxEnt conference, this work contains a range of applications of Bayesian probability theory and maximum entropy methods to problems of concern in such fields as physics, image processing, coding theory, machine learning, economics, data analysis and various other problems.

Автор: Glenn R. Heidbreder
Название: Maximum Entropy and Bayesian Methods Santa Barbara, California, U.S.A., 1993
ISBN: 0792328515 ISBN-13(EAN): 9780792328513
Издательство: Springer
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Цена: 229200.00 T
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Описание: Maximum entropy and Bayesian methods have fundamental, central roles in scientific inference. This volume contains papers presented at the Thirteenth International Workshop on Maximum Entropy and Bayesian Methods. It includes a section, and contributions detailing application in the physical sciences, engineering, law, and economics.

Автор: Nailong Wu
Название: The Maximum Entropy Method
ISBN: 3642644848 ISBN-13(EAN): 9783642644849
Издательство: Springer
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Цена: 104480.00 T
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Описание: Forty years ago, in 1957, the Principle of Maximum Entropy was first intro- duced by Jaynes into the field of statistical mechanics. As well as continuing my research in MEM after graduation, I taught a course of the same name at the Graduate School, Chinese Academy of Sciences, Beijingfrom 1987to 1990.

Автор: C.R. Smith; G. Erickson; Paul O. Neudorfer
Название: Maximum Entropy and Bayesian Methods
ISBN: 079232031X ISBN-13(EAN): 9780792320319
Издательство: Springer
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Цена: 252490.00 T
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Описание: Bayesian probability theory and maximum entropy methods are at the core of a view of scientific inference. This volume records the Proceedings of Eleventh Annual `Maximum Entropy` Workshop, held at Seattle University in June, 1991.

Автор: C.R. Smith; G. Erickson
Название: Maximum-Entropy and Bayesian Spectral Analysis and Estimation Problems
ISBN: 9027725799 ISBN-13(EAN): 9789027725790
Издательство: Springer
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Цена: 163000.00 T
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Автор: Polpo
Название: Bayesian Inference and Maximum Entropy Methods in Science and Engineering
ISBN: 3319911422 ISBN-13(EAN): 9783319911427
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Цена: 158380.00 T
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Описание: These proceedings from the 37th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering (MaxEnt 2017), held in Sao Carlos, Brazil, aim to expand the available research on Bayesian methods and promote their application in the scientific community.

Автор: John Skilling; Sibusio Sibisi
Название: Maximum Entropy and Bayesian Methods
ISBN: 9401065349 ISBN-13(EAN): 9789401065344
Издательство: Springer
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Цена: 194730.00 T
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Автор: Adriano Polpo; Julio Stern; Francisco Louzada; Raf
Название: Bayesian Inference and Maximum Entropy Methods in Science and Engineering
ISBN: 3030081869 ISBN-13(EAN): 9783030081867
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Цена: 158380.00 T
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Описание: These proceedings from the 37th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering (MaxEnt 2017), held in S?o Carlos, Brazil, aim to expand the available research on Bayesian methods and promote their application in the scientific community. They gather research from scholars in many different fields who use inductive statistics methods and focus on the foundations of the Bayesian paradigm, their comparison to objectivistic or frequentist statistics counterparts, and their appropriate applications. Interest in the foundations of inductive statistics has been growing with the increasing availability of Bayesian methodological alternatives, and scientists now face much more difficult choices in finding the optimal methods to apply to their problems. By carefully examining and discussing the relevant foundations, the scientific community can avoid applying Bayesian methods on a merely ad hoc basis. For over 35 years, the MaxEnt workshops have explored the use of Bayesian and Maximum Entropy methods in scientific and engineering application contexts. The workshops welcome contributions on all aspects of probabilistic inference, including novel techniques and applications, and work that sheds new light on the foundations of inference. Areas of application in these workshops include astronomy and astrophysics, chemistry, communications theory, cosmology, climate studies, earth science, fluid mechanics, genetics, geophysics, machine learning, materials science, medical imaging, nanoscience, source separation, thermodynamics (equilibrium and non-equilibrium), particle physics, plasma physics, quantum mechanics, robotics, and the social sciences. Bayesian computational techniques such as Markov chain Monte Carlo sampling are also regular topics, as are approximate inferential methods. Foundational issues involving probability theory and information theory, as well as novel applications of inference to illuminate the foundations of physical theories, are also of keen interest.

Автор: P.F. Foug?re
Название: Maximum Entropy and Bayesian Methods
ISBN: 9401067929 ISBN-13(EAN): 9789401067928
Издательство: Springer
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Цена: 81050.00 T
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Описание: Proceedings of the 9th International Workshop, Dartmouth, Massachusetts, USA, 1989

Автор: Ali Mohammad-Djafari; G. Demoment
Название: Maximum Entropy and Bayesian Methods
ISBN: 0792322800 ISBN-13(EAN): 9780792322801
Издательство: Springer
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Цена: 294420.00 T
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Описание: Contains papers presented at the Twelfth International Workshop on Maximum Entropy and Bayesian Methods held in Paris, July 1992. This volume is divided into six sections: Bayesian Inference and Maximum Entropy; Quantum Physics and Quantum Information; Time Series; Inverse Problems; Applications; and, Image Restoration and Reconstruction.