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Applied matrix and tensor variate data analysis, 


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Название:  Applied matrix and tensor variate data analysis
ISBN: 9784431553861
Издательство: Springer
Классификация:



ISBN-10: 443155386X
Обложка/Формат: Paperback
Страницы: 147
Вес: 0.25 кг.
Дата издания: 02.02.2016
Серия: Springerbriefs in statistics
Язык: English
Иллюстрации: 13 black & white illustrations, 23 colour illustrations, 3 black & white tables, 6 colour tables, biography
Размер: 238 x 158 x 10
Читательская аудитория: Professional & vocational
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book provides comprehensive reviews of recent progress in matrix variate and tensor variate data analysis from applied points of view.


Manifolds, Tensor Analysis, and Applications

Автор: Ralph Abraham; Jerrold E. Marsden; Tudor Ratiu
Название: Manifolds, Tensor Analysis, and Applications
ISBN: 1461269903 ISBN-13(EAN): 9781461269908
Издательство: Springer
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Цена: 18167.00 р.
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Описание: This book presents core material in nonlinear analysis, offering working knowledge of manifolds, dynamical systems, tensors and differential forms. Coverage includes Hamiltonian mechanics, fluid mechanics, electromagnetism, plasma dynamics and control theory.

Introduction to Tensor Analysis and the Calculus of Moving S

Автор: Greenfield Pavel
Название: Introduction to Tensor Analysis and the Calculus of Moving S
ISBN: 1461478669 ISBN-13(EAN): 9781461478669
Издательство: Springer
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Цена: 8384.00 р.
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Описание: This introduction to tensor calculus features over 150 exercises. It uses an informal approach, focuses on concrete objects, and appeals to the reader`s intuition with regard to fundamental concepts, such as the Euclidean space, surface, and length.

Introduction to tensor analysis and the calculus of moving surfaces

Автор: Grinfeld, Pavel
Название: Introduction to tensor analysis and the calculus of moving surfaces
ISBN: 1493955055 ISBN-13(EAN): 9781493955053
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This introduction to tensor calculus features over 150 exercises. It uses an informal approach, focuses on concrete objects, and appeals to the reader`s intuition with regard to fundamental concepts, such as the Euclidean space, surface, and length.

Non-Uniform Random Variate Generation

Автор: Luc Devroye
Название: Non-Uniform Random Variate Generation
ISBN: 1461386454 ISBN-13(EAN): 9781461386452
Издательство: Springer
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Цена: 19564.00 р.
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Описание: Thls text ls about one small fteld on the crossroads of statlstlcs, operatlons research and computer sclence. Statistleians need random number generators to test and compare estlmators before uslng them ln real l fe. In operatlons research, random numbers are a key component ln arge scale slmulatlons. Computer sclen- tlsts need randomness ln program testlng, game playlng and comparlsons of algo- rlthms. The appl catlons are wlde and varled. Yet all depend upon the same com- puter generated random numbers. Usually, the randomness demanded by an appl catlon has some bullt-ln structure: typlcally, one needs more than just a sequence of Independent random blts or Independent uniform 0,1] random vari- ables. Some users need random variables wlth unusual densltles, or random com- blnatorlal objects wlth speclftc propertles, or random geometrlc objects, or ran- dom processes wlth weil deftned dependence structures. Thls ls preclsely the sub- ject area of the book, the study of non-uniform random varlates. The plot evolves around the expected complexlty of random varlate genera- tlon algorlthms. We set up an ldeal zed computatlonal model (wlthout overdolng lt), we lntroduce the notlon of unlformly bounded expected complexlty, and we study upper and lower bounds for computatlonal complexlty.In short, a touch of computer sclence ls added to the fteld. To keep everythlng abstract, no tlmlngs or computer programs are lncluded. Thls was a Iabor of Iove. George Marsagl a created CS690, a course on ran- dom number generat on at the School of Computer Sclence of McG ll Unlverslty.

Automatic Nonuniform Random Variate Generation

Автор: Wolfgang H?rmann; Josef Leydold; Gerhard Derflinge
Название: Automatic Nonuniform Random Variate Generation
ISBN: 3642073727 ISBN-13(EAN): 9783642073724
Издательство: Springer
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Цена: 23058.00 р.
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Описание: The recent concept of universal (also called automatic or black-box) random variate generation can only be found dispersed in the literature. Examples of possible applications of the presented algorithms (including option pricing, VaR and Bayesian statistics) are presented at the end of the book.

Tensor Analysis

Автор: Nelson Edward
Название: Tensor Analysis
ISBN: 069162304X ISBN-13(EAN): 9780691623047
Издательство: Wiley
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Цена: 4752.00 р.
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Описание: These notes are based on a course of lectures given by Professor Nelson at Princeton during the spring term of 1966. The subject of Brownian motion has long been of interest in mathematical probability. In these lectures, Professor Nelson traces the history of earlier work in Brownian motion, both the mathematical theory, and the natural phenomenon

A Brief on Tensor Analysis

Автор: James G. Simmonds
Название: A Brief on Tensor Analysis
ISBN: 038794088X ISBN-13(EAN): 9780387940885
Издательство: Springer
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Цена: 5723.00 р.
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Описание: Presents tools for formulating and manipulating the field equations of Continuum Mechanics. This book introduces the mathematics of tensor analysis in four, well-separated stages. It stresses the physical interpretation and application of vectors and tensors. It features a section on differential geometry.

A Brief on Tensor Analysis

Автор: James G. Simmonds
Название: A Brief on Tensor Analysis
ISBN: 1461264243 ISBN-13(EAN): 9781461264248
Издательство: Springer
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Цена: 5723.00 р.
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Описание: There are three changes in the second edition. First, with the help of readers and colleagues-thanks to all-I have corrected typographical errors and made minor changes in substance and style. Second, I have added a fewmore Exercises, especially at the end ofChapter4.Third, I have appended a section on Differential Geometry, the essential mathematical tool in the study of two-dimensional structural shells and four-dimensional general relativity. JAMES G. SIMMONDS vii Preface to the First Edition When I was an undergraduate, working as a co-op student at North Ameri- can Aviation, I tried to learn something about tensors. In the Aeronautical Engineering Department at MIT, I had just finished an introductory course in classical mechanics that so impressed me that to this day I cannot watch a plane in flight-especially in a turn-without imaging it bristling with vec- tors. Near the end of the course the professor showed that, if an airplane is treated as a rigid body, there arises a mysterious collection of rather simple- looking integrals called the components of the moment of inertia tensor.


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