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Mathematical Foundations of the State Lumping of Large Systems, Vladimir S. Korolyuk; A.F. Turbin


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Автор: Vladimir S. Korolyuk; A.F. Turbin
Название:  Mathematical Foundations of the State Lumping of Large Systems
ISBN: 9780792324133
Издательство: Springer
Классификация:
ISBN-10: 0792324137
Обложка/Формат: Hardcover
Страницы: 278
Вес: 0.58 кг.
Дата издания: 31.08.1993
Серия: Mathematics and Its Applications
Язык: English
Размер: 234 x 156 x 18
Основная тема: Mathematics
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: During the investigation of large systems described by evolution equations, we encounter many problems. Of special interest is the problem of high dimensionality or, more precisely, the problem of the complexity of the phase space. The notion of the comple- xity of the. phase space includes not only the high dimensionality of, say, a system of linear equations which appear in the mathematical model of the system (in the case when the phase space of the model is finite but very large), as this is usually understood, but also the structure of the phase space itself, which can be a finite, countable, continual, or, in general, arbitrary set equipped with the structure of a measurable space. Certainly, 6 6 this does not mean that, for example, the space (R 6, ( ), where 6 is a a-algebra of Borel sets in R 6, considered as a phase space of, say, a six-dimensional Wiener process (see Gikhman and Skorokhod 1]), has a complex structure. But this will be true if the 6 same space (R 6, ( ) is regarded as a phase space of an evolution system describing, for example, the motion of a particle with small mass in a viscous liquid (see Chandrasek- har 1]).

Mathematical Foundations of Infinite-Dimensional Statistical Models

Автор: Gin?
Название: Mathematical Foundations of Infinite-Dimensional Statistical Models
ISBN: 1107043166 ISBN-13(EAN): 9781107043169
Издательство: Cambridge Academ
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Цена: 99270.00 T
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Описание: High-dimensional and nonparametric statistical models are ubiquitous in modern data science. This book develops a mathematically coherent and objective approach to statistical inference in such models, with a focus on function estimation problems arising from random samples (density estimation) or from Gaussian regression/signal in white noise problems.

Mathematical Methods in Robust Control of Discrete-Time Linear Stochastic Systems

Автор: Vasile Dragan; Toader Morozan; Adrian-Mihail Stoic
Название: Mathematical Methods in Robust Control of Discrete-Time Linear Stochastic Systems
ISBN: 1441906290 ISBN-13(EAN): 9781441906298
Издательство: Springer
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Цена: 135090.00 T
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Описание: This book provides a common unifying framework for discrete-time stochastic systems corrupted with both independent random perturbations and with Markovian jumps. These subjects are typically covered independently.

Mathematical Models and Methods for Living Systems

Автор: Luigi Preziosi; Pasquale Ciarletta; Thomas Hillen;
Название: Mathematical Models and Methods for Living Systems
ISBN: 3319426788 ISBN-13(EAN): 9783319426785
Издательство: Springer
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Цена: 65210.00 T
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Описание:

The aim of these lecture notes is to give an introduction to several mathematical models and methods that can be used to describe the behaviour of living systems. This emerging field of application intrinsically requires the handling of phenomena occurring at different spatial scales and hence the use of multiscale methods.
Modelling and simulating the mechanisms that cells use to move, self-organise and develop in tissues is not only fundamental to an understanding of embryonic development, but is also relevant in tissue engineering and in other environmental and industrial processes involving the growth and homeostasis of biological systems. Growth and organization processes are also important in many tissue degeneration and regeneration processes, such as tumour growth, tissue vascularization, heart and muscle functionality, and cardio-vascular diseases.

Course in Mathematical Statistics and Large Sample Theory

Название: Course in Mathematical Statistics and Large Sample Theory
ISBN: 1493940309 ISBN-13(EAN): 9781493940301
Издательство: Springer
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Цена: 62410.00 T
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Описание: This graduate-level textbook is primarily aimed at graduate students of statistics, mathematics, science, and engineering who have had an undergraduate course in statistics, an upper division course in analysis, and some acquaintance with measure theoretic probability.


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