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Mathematical and Computational Techniques for Multilevel Adaptive Methods, Ulrich R?de


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Цена: 53510.00T
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Автор: Ulrich R?de
Название:  Mathematical and Computational Techniques for Multilevel Adaptive Methods
ISBN: 9780898713206
Издательство: Mare Nostrum (Eurospan)
Классификация:


ISBN-10: 089871320X
Обложка/Формат: Paperback
Страницы: 152
Вес: 0.28 кг.
Дата издания: 1994-02-28
Серия: Frontiers in applied mathematics
Язык: English
Иллюстрации: References, index
Размер: 229 x 152 x 11
Читательская аудитория: Professional and scholarly
Основная тема: Applied mathematics,Mathematical theory of computation
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Поставляется из: Англии
Описание: Introduces a well-founded mathematical theory that leads to intelligent, adaptive algorithms, and suggests advanced software techniques. This new kind of multigrid theory supports the so-called BPX and multilevel Schwarz methods, and leads to the discovery of faster more robust algorithms.

Mathematical Approach to Multilevel, Multiscale Health Inter

Автор: Wallace Rodrick
Название: Mathematical Approach to Multilevel, Multiscale Health Inter
ISBN: 1848169965 ISBN-13(EAN): 9781848169968
Издательство: World Scientific Publishing
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Цена: 96090.00 T
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Описание: Based on published studies, this title takes a perspective on the 30-year collapse of pharmaceutical industry productivity in the search for small molecule "magic bullet" interventions. It adapts formalism across a number of disciplines to the strategy for design of mutilevel interventions, focusing, first, on molecular, and larger scale examples.

Multilevel Modeling in Plain Language

Автор: Robson Karen
Название: Multilevel Modeling in Plain Language
ISBN: 0857029169 ISBN-13(EAN): 9780857029164
Издательство: Sage Publications
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Цена: 32730.00 T
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Описание: With a real focus on the practical, this book provides students with a step-by-step approach, plenty of real-life examples, and downloadable data and exercises on the accompanying study website to help take the fear and intimidation out of multilevel modeling

Multilevel Adaptive Methods for Partial Differential Equations

Автор: Stephen F. McCormick
Название: Multilevel Adaptive Methods for Partial Differential Equations
ISBN: 0898712475 ISBN-13(EAN): 9780898712476
Издательство: Mare Nostrum (Eurospan)
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Цена: 59350.00 T
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Описание: A practical handbook for understanding and using fast adaptive composite grid (FAC) methods for discretization and solution of partial differential equations (PDEs). Contains fundamental concepts. Most of the methods treated in this book were discovered only within the last decade, and in many cases their development is still in its infancy.

An Introduction to Multilevel Modeling Techniques

Автор: Heck, Ronald , Thomas, Scott L.
Название: An Introduction to Multilevel Modeling Techniques
ISBN: 0367182424 ISBN-13(EAN): 9780367182427
Издательство: Taylor&Francis
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Цена: 178640.00 T
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Описание: This text offers a comprehensive treatment of multilevel models for univariate and multivariate outcomes.

An Introduction to Multilevel Modeling Techniques

Автор: Heck, Ronald , Thomas, Scott L.
Название: An Introduction to Multilevel Modeling Techniques
ISBN: 0367182440 ISBN-13(EAN): 9780367182441
Издательство: Taylor&Francis
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Цена: 59190.00 T
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Описание: This text offers a comprehensive treatment of multilevel models for univariate and multivariate outcomes.

Multilevel structural equation modeling

Автор: Silva, Bruno Castanho
Название: Multilevel structural equation modeling
ISBN: 1544323050 ISBN-13(EAN): 9781544323053
Издательство: Sage Publications
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Цена: 39060.00 T
Наличие на складе: Поставка под заказ.
Описание: Multilevel Structural Equation Modeling by Bruno Castanho Silva, Constantin Manuel Bosancianu, and Levente Littvay serves as a minimally technical overview of multilevel structural equation modeling (MSEM) for applied researchers and advanced graduate students in the social sciences. As the first book of its kind, this title is an accessible, hands-on introduction for beginners of the topic. The authors predict a growth in this area, fueled by both data availability and also the availability of new and improved software to run these models. The applied approach, combined with a graphical presentation style and minimal reliance on complex matrix algebra guarantee that this volume will be useful to social science graduate students wanting to utilize such models.

Multilevel Modeling Using R

Автор: Finch W. Holmes, Bolin Jocelyn E., Kelley Ken
Название: Multilevel Modeling Using R
ISBN: 1138480673 ISBN-13(EAN): 9781138480674
Издательство: Taylor&Francis
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Цена: 60220.00 T
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Описание: This book focuses on presenting the theory and practice of major multilevel modelling techniques in a variety of contexts, using R as the software tool, and demonstrating the various functions available for these analyses in R.

Multilevel Optimization: Algorithms and Applications

Автор: A. Migdalas; Panos M. Pardalos; Peter V?rbrand
Название: Multilevel Optimization: Algorithms and Applications
ISBN: 0792346939 ISBN-13(EAN): 9780792346937
Издательство: Springer
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Цена: 250630.00 T
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Noniterative Coordination in Multilevel Systems

Автор: Todor Stoilov
Название: Noniterative Coordination in Multilevel Systems
ISBN: 0792358791 ISBN-13(EAN): 9780792358794
Издательство: Springer
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Цена: 116450.00 T
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Описание: Multilevel decision theory arises to resolve the contradiction between increasing requirements towards the process of design, synthesis, control and management of complex systems and the limitation of the power of technical, control, computer and other executive devices, which have to perform actions and to satisfy requirements in real time.

Multilevel Statistical Models

Автор: Giorgos Michel
Название: Multilevel Statistical Models
ISBN: 1681174464 ISBN-13(EAN): 9781681174464
Издательство: Gazelle Book Services
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Цена: 217350.00 T
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Описание: Through the social, medical and other sciences the importance of understanding complex hierarchical data structures is well understood. Multilevel modelling is now the accepted statistical technique for handling such data and is widely available in computer software packages. A thorough understanding of these techniques is therefore important for all those working in these areas. Multilevel models (also hierarchical linear models, nested models, mixed models, random coefficient, random-effects models, random parameter models, or split-plot designs) are statistical models of parameters that vary at more than one level. An example could be a model of student performance that contains measures for individual students as well as measures for classrooms within which the students are grouped. These models can be seen as generalizations of linear models (in particular, linear regression), although they can also extend to non-linear models. These models became much more popular after sufficient computing power and software became available. Multilevel models are particularly appropriate for research designs where data for participants are organized at more than one level (i.e., nested data). Multilevel models can be used on data with many levels, although 2-level models are the most common and the rest of this article deals only with these. The dependent variable must be examined at the lowest level of analysis. The book Multilevel Statistical Models brings these techniques together, starting from basic ideas and illustrating how more complex models are derived. This book is a comprehensive tool for postgraduate courses. This book will be beneficial for applied statisticians in the social sciences, economics, biological and medical disciplines.

Multilevel Strategic Interaction Game Models for Complex Networks

Автор: Eitan Altman; Konstantin Avrachenkov; Francesco De
Название: Multilevel Strategic Interaction Game Models for Complex Networks
ISBN: 3030244547 ISBN-13(EAN): 9783030244545
Издательство: Springer
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Цена: 74530.00 T
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Описание: This book provides a state-of-the-art overview on the dynamics and coevolution in multi-level strategic interaction games. As such it summarizes the results of the European CONGAS project, which developed new mathematical models and tools for the analysis, prediction and control of dynamical processes in systems possessing a rich multi-level structure and a web of interwoven interactions among elements with autonomous decision-making capabilities. The framework is built around game theoretical concepts, in particular evolutionary and multi-resolution games, and includes also techniques drawn from graph theory, statistical mechanics, control and optimization theory. Specific attention is devoted to systems that are prone to intermittency and catastrophic events due to the effect of collective dynamics.

Multilevel Modeling in Plain Language

Автор: Karen Robson and David Pevalin
Название: Multilevel Modeling in Plain Language
ISBN: 0857029150 ISBN-13(EAN): 9780857029157
Издательство: Sage Publications
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Цена: 106650.00 T
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Описание: With a real focus on the practical, this book provides students with a step-by-step approach, plenty of real-life examples, and downloadable data and exercises on the accompanying study website to help take the fear and intimidation out of multilevel modeling


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