Mathematical Foundations for Data Analysis, Phillips Jeff M.

Автор: Mohit Kumar Sharma, Suresh Chandra
Название: Numerical Methods and Data Analysis
ISBN: 9386768518 ISBN-13(EAN): 9789386768513
Издательство: Mare Nostrum (Eurospan)
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Цена: 29260.00 T
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Описание: Discusses numerical techniques: interpolation, differentiation, integration, roots of equation, simultaneous linear equations, eigenvalues and eigenvectors, differential equations, partial differential equations, random numbers, statistical parameters, and the error analysis.

Автор: Peter A. Fejer; Dan A. Simovici
Название: Mathematical Foundations of Computer Science
ISBN: 1461277922 ISBN-13(EAN): 9781461277927
Издательство: Springer
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Цена: 74490.00 T
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Описание: Mathematical Foundations of Computer Science, Volume I is the first of two volumes presenting topics from mathematics (mostly discrete mathematics) which have proven relevant and useful to computer science.

Автор: Matthias Dehmer, Salissou Moutari, Frank Emmert-Streib
Название: Mathematical Foundations of Data Science Using R
ISBN: 311056467X ISBN-13(EAN): 9783110564679
Издательство: Walter de Gruyter
Цена: 61920.00 T
Наличие на складе: Нет в наличии.
Описание:

In order best exploit the incredible quantities of data being generated in most diverse disciplines data sciences increasingly gain worldwide importance. The book gives the mathematical foundations to handle data properly. It introduces basics and functionalities of the R programming language which has become the indispensable tool for data sciences. Thus it delivers the reader the skills needed to build own tool kits of a modern data scientist.

Автор: John M. Stewart
Название: Python for Scientists
ISBN: 1316641236 ISBN-13(EAN): 9781316641231
Издательство: Cambridge Academ
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Цена: 33780.00 T
Наличие на складе: Поставка под заказ.
Описание: Scientific Python is taught from scratch in this book via copious, downloadable, useful and adaptable code snippets. Everything the working scientist needs to know is covered, quickly providing researchers and research students with the skills to start using Python effectively.

Автор: Gross, Benedict H.,
Название: Fat chance :
ISBN: 1108728189 ISBN-13(EAN): 9781108728188
Издательство: Cambridge Academ
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Цена: 25350.00 T
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Описание: Designed for the intellectually curious, this book provides a solid foundation in basic probability theory in a charming style, without technical jargon. This text will immerse the reader in a mathematical view of the world, and teach them techniques to solve real-world problems both inside and outside the casino.

Автор: G?nter Mayer
Название: Interval Analysis: and Automatic Result Verification
ISBN: 3110500639 ISBN-13(EAN): 9783110500639
Издательство: Walter de Gruyter
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Цена: 148700.00 T
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Описание:

This self-contained text is a step-by-step introduction and a complete overview of interval computation and result verification, a subject whose importance has steadily increased over the past many years. The author, an expert in the field, gently presents the theory of interval analysis through many examples and exercises, and guides the reader from the basics of the theory to current research topics in the mathematics of computation.

Автор: Ramm Alexander G.
Название: Inverse Obstacle Scattering with Non-Over-Determined Scattering Data
ISBN: 1681735881 ISBN-13(EAN): 9781681735887
Издательство: Mare Nostrum (Eurospan)
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Цена: 36030.00 T
Наличие на складе: Невозможна поставка.
Описание:

The inverse obstacle scattering problem consists of finding the unknown surface of a body (obstacle) from the scattering (;;), where (;;) is the scattering amplitude; is the direction of the scattered, incident wave, respectively, is the unit sphere in the ℝ3 and k > 0 is the modulus of the wave vector.

The scattering data is called non-over-determined if its dimensionality is the same as the one of the unknown object. By the dimensionality one understands the minimal number of variables of a function describing the data or an object. In an inverse obstacle scattering problem this number is 2, and an example of non-over-determined data is (): = (;₀;₀). By sub-index 0 a fixed value of a variable is denoted.

It is proved in this book that the data (), known for all in an open subset of , determines uniquely the surface and the boundary condition on . This condition can be the Dirichlet, or the Neumann, or the impedance type.

The above uniqueness theorem is of principal importance because the non-over-determined data are the minimal data determining uniquely the unknown . There were no such results in the literature, therefore the need for this book arose. This book contains a self-contained proof of the existence and uniqueness of the scattering solution for rough surfaces.

Автор: Menczer Filippo
Название: First Course in Network Science
ISBN: 1108471137 ISBN-13(EAN): 9781108471138
Издательство: Cambridge Academ
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Цена: 43290.00 T
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Описание: A practical introduction to network science suitable for students studying diverse programs such as business, cognitive science, neuroscience, sociology, biology, and engineering. A wide range of examples and exercises develop readers` understanding, and Python programming tutorials provided online reinforce coding skills.

Автор: Galina Filipuk, Andrzej Kozlowski
Название: Analysis with Mathematica®: Volume 1: Single Variable Calculus
ISBN: 3110590131 ISBN-13(EAN): 9783110590135
Издательство: Walter de Gruyter
Цена: 74320.00 T
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Описание: A computer algebra system such as Mathematica is able to do much more than just numerics: This text shows how to tackle real mathematical problems from basic analysis. The reader learns how Mathematica represents domains, qualifiers and limits to implement actual proofs – a requirement to unlock the huge potential of Mathematica for a variety of applications.

Автор: Fred J. Hickernell, Peter Kritzer
Название: Multivariate Algorithms and Information-Based Complexity
ISBN: 3110633116 ISBN-13(EAN): 9783110633115
Издательство: Walter de Gruyter
Цена: 128870.00 T
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Описание:

The series is devoted to the publication of high-level monographs, surveys and proceedings which cover the whole spectrum of computational and applied mathematics.

Автор: Peter Benner, Wilhelmus Schilders, Stefano Grivet-Talocia, Alfio Quarteroni, Gianluigi Rozza, Luis Miguel Silveira
Название: Model Order Reduction: Volume 1: System- and Data-Driven Methods and Algorithms
ISBN: 3110500434 ISBN-13(EAN): 9783110500431
Издательство: Walter de Gruyter
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Цена: 210690.00 T
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An increasing complexity of models used to predict real-world systems leads to the need for algorithms to replace complex models with far simpler ones, while preserving the accuracy of the predictions. This two-volume handbook covers methods as well as applications. This first volume focuses on real-time control theory, data assimilation, real-time visualization, high-dimensional state spaces and interaction of different reduction techniques.

Автор: Alexander G. Ramm
Название: Inverse Obstacle Scattering with Non-Over-Determined Scattering Data
ISBN: 1681735903 ISBN-13(EAN): 9781681735900
Издательство: Mare Nostrum (Eurospan)
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Цена: 57290.00 T
Наличие на складе: Нет в наличии.
Описание: Kalman J. Kaplan and Paul Cantz offer a biblically-based approach to suicide prevention, designed to overcome suicidogenic patterns in fourteen patients fitting into seven Graeco-Roman suicidal syndromes. Kaplan and Cantz use biblical narratives alongside an in-depth positive psychology, aimed at promoting life instead of simply preventing suicide.