Описание: Suitable for physicists, applied mathematicians, computer scientists, and engineers, this book presents introductory materials, similar to that on the PAMIR website. It also offers details on the use of the programs than is on the website.
Автор: Weirich Paul Название: Decision Space: Multidimensional Utility Analysis ISBN: 0521800099 ISBN-13(EAN): 9780521800099 Издательство: Cambridge Academ Цена: 15206.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In Decision Space: Multidimensional Utility Analysis, first published in 2001, Paul Weirich increases the power and versatility of utility analysis and in the process advances decision theory. Combining traditional and novel methods of option evaluation into one systematic method, multidimensional utility analysis is a valuable tool in decision theory.
Автор: Paul Fieguth Название: Statistical Image Processing and Multidimensional Modeling ISBN: 1461427053 ISBN-13(EAN): 9781461427056 Издательство: Springer Рейтинг: Цена: 15855.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Examples abound throughout remote sensing (satellite data mapping, data assimilation, climate-change studies, land use), medical imaging (organ segmentation, anomaly detection), computer vision (image classification, segmentation), and other 2D/3D problems (biological imaging, porous media).
Автор: I. Borg; J. Lingoes Название: Multidimensional Similarity Structure Analysis ISBN: 146129147X ISBN-13(EAN): 9781461291473 Издательство: Springer Рейтинг: Цена: 12805.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Multidimensional Similarity Structure Analysis comprises a class of models that represent similarity among entities (for example, variables, items, objects, persons, etc.) in multidimensional space to permit one to grasp more easily the interrelations and patterns present in the data.
Описание: Suitable for physicists, applied mathematicians, computer scientists, and engineers, this book presents introductory materials, similar to that on the PAMIR website. It also offers details on the use of the programs than is on the website.
Автор: Jacob Kogan; Charles Nicholas; Marc Teboulle Название: Grouping Multidimensional Data ISBN: 3642066542 ISBN-13(EAN): 9783642066542 Издательство: Springer Рейтинг: Цена: 15855.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Clustering can be used as an independent data mining task to discern intrinsic characteristics of data, or as a preprocessing step with the clustering results then used for classification, correlation analysis, or anomaly detection.Kogan and his co-editors have put together recent advances in clustering large and high-dimension data.
Автор: Guoliang Wang; Qingling Zhang; Xinggang Yan Название: Analysis and Design of Singular Markovian Jump Systems ISBN: 3319087223 ISBN-13(EAN): 9783319087221 Издательство: Springer Рейтинг: Цена: 15957.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
This monograph is an up-to-date presentation of the analysis and design of singular Markovian jump systems (SMJSs) in which the transition rate matrix of the underlying systems is generally uncertain, partially unknown and designed. The problems addressed include stability, stabilization, H∞ control and filtering, observer design, and adaptive control. applications of Markov process are investigated by using Lyapunov theory, linear matrix inequalities (LMIs), S-procedure and the stochastic Barbalat's Lemma, among other techniques.
Features of the book include:
- study of the stability problem for SMJSs with general transition rate matrices (TRMs);
- stabilization for SMJSs by TRM design, noise control, proportional-derivative and partially mode-dependent control, in terms of LMIs with and without equation constraints;
- mode-dependent and mode-independent H∞ control solutions with development of a type of disordered controller;
- observer-based controllers of SMJSs in which both the designed observer and controller are either mode-dependent or mode-independent;
- consideration of robust H∞ filtering in terms of uncertain TRM or filter parameters leading to a method for totally mode-independent filtering
- development of LMI-based conditions for a class of adaptive state feedback controllers with almost-certainly-bounded estimated error and almost-certainly-asymptotically-stable corres
ponding closed-loop system states
- applications of Markov process on singular systems with norm bounded uncertainties and time-varying delays
Analysis and Design of Singular Markovian Jump Systems contains valuable reference material for academic researchers wishing to explore the area. The contents are also suitable for a one-semester graduate course.
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