Big Data Systems, Shamsi

Автор: Steven L. Brunton, J. Nathan Kutz
Название: Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control
ISBN: 1108422098 ISBN-13(EAN): 9781108422093
Издательство: Amazon Internet
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Цена: 0.00 T
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Описание: Data-driven discovery is revolutionizing the modeling, prediction, and control of complex systems. Aimed at advanced undergraduate and beginning graduate students, this textbook provides an integrated viewpoint that shows how to apply emerging methods from data science, data mining, and machine learning to engineering and the physical sciences.

Автор: Bai Zhidong
Название: Spectral Theory of Large Dimensional Random Matrices and its
ISBN: 981457905X ISBN-13(EAN): 9789814579056
Издательство: World Scientific Publishing
Цена: 85530.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The book contains three parts: Spectral theory of large dimensional random matrices; Applications to wireless communications; and Applications to finance. In the first part, we introduce some basic theorems of spectral analysis of large dimensional random matrices that are obtained under finite moment conditions, such as the limiting spectral distributions of Wigner matrix and that of large dimensional sample covariance matrix, limits of extreme eigenvalues, and the central limit theorems for linear spectral statistics. In the second part, we introduce some basic examples of applications of random matrix theory to wireless communications and in the third part, we present some examples of Applications to statistical finance.

Автор: Juan I. Yuz; Graham C. Goodwin
Название: Sampled-Data Models for Linear and Nonlinear Systems
ISBN: 1447155610 ISBN-13(EAN): 9781447155614
Издательство: Springer
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Цена: 121890.00 T
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Описание: In this book, rather than emphasize differences between sampled-data and continuous-time systems, the authors proceed from the premise that, with modern sampling rates as high as they are, it is more appropriate to emphasise connections and similarities.

Автор: Juan I. Yuz; Graham C. Goodwin
Название: Sampled-Data Models for Linear and Nonlinear Systems
ISBN: 1447169972 ISBN-13(EAN): 9781447169970
Издательство: Springer
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Цена: 104480.00 T
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Описание: In this book, rather than emphasize differences between sampled-data and continuous-time systems, the authors proceed from the premise that, with modern sampling rates as high as they are, it is more appropriate to emphasise connections and similarities.

Автор: Hans-Hermann Bock; Wolfgang Lenski; Michael M. Ric
Название: Information Systems and Data Analysis
ISBN: 3540580573 ISBN-13(EAN): 9783540580577
Издательство: Springer
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Цена: 121110.00 T
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Описание: Proceedings of the 17th Annual Conference of the Gesellschaft fur Klassifikation e.V., University of Kaiserslautern, March 3 - 5, 1993

Автор: Hans-Hermann Bock; Wolfgang Polasek
Название: Data Analysis and Information Systems
ISBN: 3540607749 ISBN-13(EAN): 9783540607748
Издательство: Springer
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Цена: 121110.00 T
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Описание: Proceedings of the 19th Annual Conference of the Gesell- schaft fur Klassifikation e.V. University of Basel, March 8-10, 1995.

Автор: Cairns Paul
Название: Doing Better Statistics in Human-Computer Interaction
ISBN: 110871059X ISBN-13(EAN): 9781108710596
Издательство: Cambridge Academ
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Цена: 33790.00 T
Наличие на складе: Невозможна поставка.
Описание: Written for human-computer interaction (HCI) researchers - whether undergraduates, professors, or UX professionals who need to analyse quantitative data - this book helps to improve readers` knowledge of the modern best practice in statistics and their understanding of how to do statistical analysis on their own data.

Автор: Cairns Paul
Название: Doing Better Statistics in Human-Computer Interaction
ISBN: 110848252X ISBN-13(EAN): 9781108482523
Издательство: Cambridge Academ
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Цена: 102430.00 T
Наличие на складе: Невозможна поставка.
Описание: Written for human-computer interaction (HCI) researchers - whether undergraduates, professors, or UX professionals who need to analyse quantitative data - this book helps to improve readers` knowledge of the modern best practice in statistics and their understanding of how to do statistical analysis on their own data.

Автор: M. Reza Rahimi Tabar
Название: Analysis and Data-Based Reconstruction of Complex Nonlinear Dynamical Systems
ISBN: 3030184714 ISBN-13(EAN): 9783030184711
Издательство: Springer
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Цена: 107130.00 T
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Описание: This book focuses on a central question in the field of complex systems: Given a fluctuating (in time or space), uni- or multi-variant sequentially measured set of experimental data (even noisy data), how should one analyse non-parametrically the data, assess underlying trends, uncover characteristics of the fluctuations (including diffusion and jump contributions), and construct a stochastic evolution equation?Here, the term 'non-parametrically' exemplifies that all the functions and parameters of the constructed stochastic evolution equation can be determined directly from the measured data.The book provides an overview of methods that have been developed for the analysis of fluctuating time series and of spatially disordered structures. Thanks to its feasibility and simplicity, it has been successfully applied to fluctuating time series and spatially disordered structures of complex systems studied in scientific fields such as physics, astrophysics, meteorology, earth science, engineering, finance, medicine and the neurosciences, and has led to a number of important results.The book also includes the numerical and analytical approaches to the analyses of complex time series that are most common in the physical and natural sciences. Further, it is self-contained and readily accessible to students, scientists, and researchers who are familiar with traditional methods of mathematics, such as ordinary, and partial differential equations.The codes for analysing continuous time series are available in an R package developed by the research group Turbulence, Wind energy and Stochastic (TWiSt) at the Carl von Ossietzky University of Oldenburg under the supervision of Prof. Dr. Joachim Peinke. This package makes it possible to extract the (stochastic) evolution equation underlying a set of data or measurements.

Автор: Rene L. Schilling, Lothar Partzsch
Название: Brownian Motion: An Introduction to Stochastic Processes
ISBN: 3110307294 ISBN-13(EAN): 9783110307290
Издательство: Walter de Gruyter
Цена: 42450.00 T
Наличие на складе: Нет в наличии.
Описание: Brownian motion is one of the most important stochastic processes in continuous time and with continuous state space. Within the realm of stochastic processes, Brownian motion is at the intersection of Gaussian processes, martingales, Markov processes, diffusions and random fractals, and it has influenced the study of these topics. Its central position within mathematics is matched by numerous applications in science, engineering and mathematical finance. Often textbooks on probability theory cover, if at all, Brownian motion only briefly. On the other hand, there is a considerable gap to more specialized texts on Brownian motion which is not so easy to overcome for the novice. The authors’ aim was to write a book which can be used as an introduction to Brownian motion and stochastic calculus, and as a first course in continuous-time and continuous-state Markov processes. They also wanted to have a text which would be both a readily accessible mathematical back-up for contemporary applications (such as mathematical finance) and a foundation to get easy access to advanced monographs. This textbook, tailored to the needs of graduate and advanced undergraduate students, covers Brownian motion, starting from its elementary properties, certain distributional aspects, path properties, and leading to stochastic calculus based on Brownian motion. It also includes numerical recipes for the simulation of Brownian motion.

Автор: Van Mieghem, Piet.
Название: Performance analysis of complex networks and systems /
ISBN: 1107058600 ISBN-13(EAN): 9781107058606
Издательство: Cambridge Academ
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Цена: 83430.00 T
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Описание: A rigorous and self-contained guide to the mathematical, stochastic and graph theoretic methods needed to analyse the performance and robustness of complex networks and systems. Containing problems and solved solutions, the book is ideal for graduate students taking courses in performance analysis.

Автор: Teraoka
Название: Statistical Thermodynamics: Basics and Application s to Chemical Systems
ISBN: 1118305116 ISBN-13(EAN): 9781118305119
Издательство: Wiley
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Цена: 86540.00 T
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Описание: Written to introduce readers to molecular descriptions of thermodynamics, chemical systems, and biomolecules, Statistical Thermodynamics discusses the aspects of statistical thermodynamics of most use and interest to chemistry students.