Mathematical Analysis for Transmission of COVID-19, Shah Nita H., Mittal Mandeep

Автор: Strang Gilbert
Название: Linear Algebra and Learning from Data
ISBN: 0692196382 ISBN-13(EAN): 9780692196380
Издательство: Cambridge Academ
Рейтинг:
Цена: 9978.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Linear algebra and the foundations of deep learning, together at last! From Professor Gilbert Strang, acclaimed author of Introduction to Linear Algebra, comes Linear Algebra and Learning from Data, the first textbook that teaches linear algebra together with deep learning and neural nets. This readable yet rigorous textbook contains a complete course in the linear algebra and related mathematics that students need to know to get to grips with learning from data. Included are: the four fundamental subspaces, singular value decompositions, special matrices, large matrix computation techniques, compressed sensing, probability and statistics, optimization, the architecture of neural nets, stochastic gradient descent and backpropagation.

Автор: Riley
Название: Mathematical Methods for Physics and Engineering
ISBN: 0521679710 ISBN-13(EAN): 9780521679718
Издательство: Cambridge Academ
Рейтинг:
Цена: 7920.00 р.
Наличие на складе: Есть (1 шт.)
Описание: This highly acclaimed undergraduate textbook teaches all the mathematics for undergraduate courses in the physical sciences. Containing over 800 exercises, half come with hints and answers and, in a separate manual, complete worked solutions. The remaining exercises are intended for unaided homework; full solutions are available to instructors.

Автор: li zhilin
Название: Numerical solution of differential equations
ISBN: 1107163226 ISBN-13(EAN): 9781107163225
Издательство: Cambridge Academ
Рейтинг:
Цена: 13464.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This practical and concise guide to finite difference and finite element methods is aimed at graduate students who need to solve differential equations. With few prerequisites, the book is accessible to readers from a range of disciplines across science and engineering. Well-tested MATLAB (R) codes are available online.

Автор: Jordan, Dominic; Smith, Peter
Название: Mathematical Techniques
ISBN: 0199282013 ISBN-13(EAN): 9780199282012
Издательство: Oxford Academ
Рейтинг:
Цена: 10770.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Mathematical Techniques provides a complete course in mathematics, covering all the essential topics with which a physical sciences or engineering student should be familiar. It introduces and builds on concepts in a progressive, carefully-layered way, and features over 2000 end of chapter problems, plus additional self-check questions.

Автор: Shah Nita H., Mittal Mandeep
Название: Mathematical Analysis for Transmission of Covid-19
ISBN: 9813362634 ISBN-13(EAN): 9789813362635
Издательство: Springer
Цена: 20962.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book describes various mathematical models that can be used to better understand the spread of novel Coronavirus Disease 2019 (COVID-19) and help to fight against various challenges that have been developed due to COVID-19.

Автор: Donald B. Percival, Andrew T. Walden
Название: Spectral Analysis for Univariate Time Series
ISBN: 1107028140 ISBN-13(EAN): 9781107028142
Издательство: Cambridge Academ
Рейтинг:
Цена: 14573.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Spectral analysis is an important technique for interpreting time series data. This book uses the R language and real world examples to show data analysts interested in time series in the environmental, engineering and physical sciences how to bridge the gap between the statistical theory behind spectral analysis and its application to actual data.

Автор: Bajorski, Peter
Название: Statistics for imaging, optics, and photonics
ISBN: 0470509457 ISBN-13(EAN): 9780470509456
Издательство: Wiley
Рейтинг:
Цена: 14090.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This is the first book fully devoted to the implementation of statistical methods in imaging, optics, and photonics applications with a concentration on statistical inference. The text contains a wide range of relevant statistical methods, including a review of the fundamentals of statistics and expanding into multivariate techniques.

Автор: Corder
Название: Nonparametric Statistics - A Step-by-Step Approach 2e
ISBN: 1118840313 ISBN-13(EAN): 9781118840313
Издательство: Wiley
Рейтинг:
Цена: 13139.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: a very useful resource for courses in nonparametric statistics in which the emphasis is on applications rather than on theory. It also deserves a place in libraries of all institutions where introductory statistics courses are taught.

Автор: Bates
Название: Numerically Solving Polynomial Systems with Bertini
ISBN: 1611972698 ISBN-13(EAN): 9781611972696
Издательство: Mare Nostrum (Eurospan)
Рейтинг:
Цена: 15107.00 р.
Наличие на складе: Нет в наличии.

Описание: This book is a guide to concepts and practice in numerical algebraic geometry - the solution of systems of polynomial equations by numerical methods. Through numerous examples, the authors show how to apply the well-received and widely used open-source Bertini software package to compute solutions, including a detailed manual on syntax and usage options. The authors also maintain a complementary web page where readers can find supplementary materials and Bertini input files.Numerically Solving Polynomial Systems with Bertini approaches numerical algebraic geometry from a user's point of view with numerous examples of how Bertini is applicable to polynomial systems. It treats the fundamental task of solving a given polynomial system and describes the latest advances in the field, including algorithms for intersecting and projecting algebraic sets, methods for treating singular sets, the nascent field of real numerical algebraic geometry, and applications to large polynomial systems arising from differential equations.Those who wish to solve polynomial systems can start gently by finding isolated solutions to small systems, advance rapidly to using algorithms for finding positive-dimensional solution sets (curves, surfaces, etc.), and learn how to use parallel computers on large problems. These techniques are of interest to engineers and scientists in fields where polynomial equations arise, including robotics, control theory, economics, physics, numerical PDEs, and computational chemistry.

Автор: Paul H.C. Eilers, Brian D. Marx
Название: Practical Smoothing: The Joys of P-splines
ISBN: 1108482953 ISBN-13(EAN): 9781108482950
Издательство: Cambridge Academ
Рейтинг:
Цена: 8554.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: P-splines are widely used in statistics and machine learning for smoothing out noise in data and to avoid overtraining. This practical guide covers theory and a range of standard and non-standard applications with code in R for professionals and researchers looking for a simple, flexible and powerful smoothing tool.

Автор: Ablowitz, Mark J. (university Of Colorado Boulder) Fokas, Athanassios S. (university Of Cambridge)
Название: Introduction to complex variables and applications
ISBN: 1108959725 ISBN-13(EAN): 9781108959728
Издательство: Cambridge Academ
Рейтинг:
Цена: 7286.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This introduction to complex variables, suitable as a text for a one-semester course, has been written for undergraduate students in applied mathematics, science, and engineering. It contains the essential topics along with advanced topics for use in challenging projects. Many worked examples, applications, and exercises are included.

Автор: Miller
Название: Numerical Analysis for Engineers and Scientists
ISBN: 1107021081 ISBN-13(EAN): 9781107021082
Издательство: Cambridge Academ
Рейтинг:
Цена: 10613.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Striking a balance between theory and practice, this graduate-level text is perfect for students in the applied sciences. It provides full coverage of classical methods with a clear explanation of how they work, together with sample programs and many practical examples to help students get started.