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Deterministic Abelian Sandpile Models and Patterns, Guglielmo Paoletti


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Автор: Guglielmo Paoletti
Название:  Deterministic Abelian Sandpile Models and Patterns
ISBN: 9783319347455
Издательство: Springer
Классификация:




ISBN-10: 3319347454
Обложка/Формат: Paperback
Страницы: 163
Вес: 0.25 кг.
Дата издания: 23.08.2016
Серия: Springer Theses
Язык: English
Размер: 234 x 156 x 10
Основная тема: Physics
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: The model investigated in this work, a particular cellular automaton with stochastic evolution, was introduced as the simplest case of self-organized-criticality, that is, a dynamical system which shows algebraic long-range correlations without any tuning of parameters.


Piecewise Deterministic Processes in Biological Models

Автор: Ryszard Rudnicki; Marta Tyran-Kami?ska
Название: Piecewise Deterministic Processes in Biological Models
ISBN: 331961293X ISBN-13(EAN): 9783319612935
Издательство: Springer
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Цена: 7685.00 р.
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Описание: This book presents a concise introduction to piecewise deterministic Markov processes (PDMPs), with particular emphasis on their applications to biological models.

Deterministic and Stochastic Scheduling

Автор: M.A. Dempster
Название: Deterministic and Stochastic Scheduling
ISBN: 9400978030 ISBN-13(EAN): 9789400978034
Издательство: Springer
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Цена: 12157.00 р.
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Описание: Proceedings of the NATO Advanced Study and Research Institute on Theoretical Approaches to Scheduling Problems, Durham, England, July 6-17, 1981

Deterministic abelian sandpile models and patterns

Автор: Paoletti, Guglielmo
Название: Deterministic abelian sandpile models and patterns
ISBN: 3319012037 ISBN-13(EAN): 9783319012032
Издательство: Springer
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Цена: 15672.00 р.
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Описание: The model investigated in this work, a particular cellular automaton with stochastic evolution, was introduced as the simplest case of self-organized-criticality, that is, a dynamical system which shows algebraic long-range correlations without any tuning of parameters.

Deterministic and Stochastic Time-Delay Systems

Автор: El-Kebir Boukas; Zi-Kuan Liu
Название: Deterministic and Stochastic Time-Delay Systems
ISBN: 1461266025 ISBN-13(EAN): 9781461266020
Издательство: Springer
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Цена: 13974.00 р.
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Описание: Most practical processes such as chemical reactor, industrial furnace, heat exchanger, etc., are nonlinear stochastic systems, which makes their con- trol in general a hard problem.

Deterministic Identification of Dynamical Systems

Автор: Christiaan Heij
Название: Deterministic Identification of Dynamical Systems
ISBN: 354051323X ISBN-13(EAN): 9783540513230
Издательство: Springer
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Цена: 12157.00 р.
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Описание: In deterministic identification the identified system is determined on the basis of a complexity measure of models and a misfit measure of models with respect to data. For the case of exact modelling a procedure is presented which is inspired by objectives of simplicity and corroboration.

Deterministic Global Optimization

Автор: Christodoulos A. Floudas
Название: Deterministic Global Optimization
ISBN: 0792360141 ISBN-13(EAN): 9780792360148
Издательство: Springer
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Цена: 58557.00 р.
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Описание: Provides a unified treatment of deterministic global optimization. This book introduces theoretical and algorithmic advances that address the computation and characterization of global optima, determine valid lower and upper bounds on the global minima and maxima, and enclose all solutions of nonlinear constrained systems of equations.

Information Loss in Deterministic Signal Processing Systems

Автор: Bernhard C. Geiger; Gernot Kubin
Название: Information Loss in Deterministic Signal Processing Systems
ISBN: 3319595326 ISBN-13(EAN): 9783319595320
Издательство: Springer
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Цена: 16769.00 р.
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Описание:

This book introduces readers to essential tools for the measurement and analysis of information loss in signal processing systems. Employing a new information-theoretic systems theory, the book analyzes various systems in the signal processing engineer’s toolbox: polynomials, quantizers, rectifiers, linear filters with and without quantization effects, principal components analysis, multirate systems, etc. The user benefit of signal processing is further highlighted with the concept of relevant information loss. Signal or data processing operates on the physical representation of information so that users can easily access and extract that information. However, a fundamental theorem in information theory—data processing inequality—states that deterministic processing always involves information loss. 

These measures form the basis of a new information-theoretic systems theory, which complements the currently prevailing approaches based on second-order
statistics, such as the mean-squared error or error energy. This theory not only provides a deeper understanding but also extends the design space for the applied engineer with a wide range of methods rooted in information theory, adding to existing methods based on energy or quadratic representations.
Advances in Stochastic and Deterministic Global Optimization

Автор: Panos M. Pardalos; Anatoly Zhigljavsky; Julius ?il
Название: Advances in Stochastic and Deterministic Global Optimization
ISBN: 3319299735 ISBN-13(EAN): 9783319299730
Издательство: Springer
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Цена: 15372.00 р.
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Описание: Current research results in stochastic and deterministic global optimization including single and multiple objectives are explored and presented in this book by leading specialists from various fields. Contributions include applications to multidimensional data visualization, regression, survey calibration, inventory management, timetabling, chemical engineering, energy systems, and competitive facility location. Graduate students, researchers, and scientists in computer science, numerical analysis, optimization, and applied mathematics will be fascinated by the theoretical, computational, and application-oriented aspects of stochastic and deterministic global optimization explored in this book.

This volume is dedicated to the 70th birthday of Antanas ?ilinskas who is a leading world expert in global optimization. Professor ?ilinskas's research has concentrated on studying models for the objective function, the development and implementation of efficient algorithms for global optimization with single and multiple objectives, and application of algorithms for solving real-world practical problems.

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