Mathematical Foundations of System Safety Engineering, Richard R. Zito

Автор: Riley
Название: Mathematical Methods for Physics and Engineering
ISBN: 0521679710 ISBN-13(EAN): 9780521679718
Издательство: Cambridge Academ
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Цена: 52800.00 T
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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: Strang Gilbert
Название: Linear Algebra and Learning from Data
ISBN: 0692196382 ISBN-13(EAN): 9780692196380
Издательство: Cambridge Academ
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Цена: 66520.00 T
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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: Lopes Dos Santos Paulo Et Al
Название: Linear Parameter-Varying System Identification: New Developments And Trends
ISBN: 9814355445 ISBN-13(EAN): 9789814355445
Издательство: World Scientific Publishing
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Цена: 138330.00 T
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Описание: Reports the Linear Parameter Varying (LPV) system identification. This book contains twelve chapters, focusing on the LPV identification methods for both discrete-time and continuous-time models, using different approaches such as optimization methods for input/output LPV models Identification, set membership methods, and more.

Автор: Athanasios C. Antoulas
Название: Mathematical System Theory
ISBN: 3662085488 ISBN-13(EAN): 9783662085486
Издательство: Springer
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Цена: 113190.00 T
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Описание: A Festschrift in Honor of Professor R.E. Kalman on the Occasion of his 60th Birthday

Автор: Hendrik Nijmeijer; Johannes M. Schumacher
Название: Three Decades of Mathematical System Theory
ISBN: 3540516050 ISBN-13(EAN): 9783540516057
Издательство: Springer
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Цена: 81050.00 T
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Описание: The field of modern mathematical system theory has its origins in the work of R.E. The volume Three Decades of Mathematical System Theory surveys the developments in this field by presenting 21 articles covering the broad area of system and control theory.

Автор: H.J. Greenberg
Название: A Computer-Assisted Analysis System for Mathematical Programming Models and Solutions
ISBN: 1461364280 ISBN-13(EAN): 9781461364283
Издательство: Springer
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Цена: 139750.00 T
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Описание: Welcome to ANALYZE, designed to provide computer assistance for analyzing linear programs and their solutions. Chapter 4 goes through some elementary exercises to demonstrate computer- assisted analysis and introduce additional conventions of the ANALYZE language.

Автор: Jan C. Willems; Shinji Hara; Yoshito Ohta; Hisaya
Название: Perspectives in Mathematical System Theory, Control, and Signal Processing
ISBN: 3540939172 ISBN-13(EAN): 9783540939177
Издательство: Springer
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Цена: 130430.00 T
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Описание: This volume contains articles by invited speakers for the symposium on Systems, Control, and Signal Processing to celebrate the sixtieth birthday of Yutaka Yamamoto in Kyoto University on March 29-31, 2010.

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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Описание:

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: Bender, Carl M. (washington University, Usa) Orsza
Название: Advanced mathematical methods for scientists and engineers
ISBN: 1441931872 ISBN-13(EAN): 9781441931870
Издательство: Springer
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Цена: 68900.00 T
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Описание: This book gives a clear, practical and self-contained presentation of the methods of asymptotics and perturbation theory and explains how to use these methods to obtain approximate analytical solutions to differential and difference equations. These methods allow one to analyze physics and engineering problems that may not be solvable in closed form and for which brute-force numerical methods may not converge to useful solutions. The objective of this book is to teaching the insights and problem-solving skills that are most useful in solving mathematical problems arising in the course of modern research. Intended for graduate students and advanced undergraduates, the book assumes only a limited familiarity with differential equations and complex variables. The presentation begins with a review of differential and difference equations; develops local asymptotic methods for differential and difference equations; explains perturbation and summation theory; and concludes with a an exposition of global asymptotic methods, including boundary-layer theory, WKB theory, and multiple-scale analysis. Emphasizing applications, the discussion stresses care rather than rigor and relies on many well-chosen examples to teach the reader how an applied mathematician tackles problems. There are 190 computer-generated plots and tables comparing approximate and exact solutions; over 600 problems, of varying levels of difficulty; and an appendix summarizing the properties of special functions.

Автор: Steven L. Brunton, J. Nathan Kutz
Название: Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control
ISBN: 1108422098 ISBN-13(EAN): 9781108422093
Издательство: Amazon Internet
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Цена: 0.00 T
Наличие на складе: Невозможна поставка.
Описание: Data-driven discovery is revolutionizing the modeling, prediction, and control of complex systems. Aimed at advanced undergraduate and beginning graduate students, this textbook provides an integrated viewpoint that shows how to apply emerging methods from data science, data mining, and machine learning to engineering and the physical sciences.

Автор: B. V. Senthil Kumar, Hemen Dutta
Название: Discrete Mathematical Structures: A Succinct Foundation
ISBN: 0367148692 ISBN-13(EAN): 9780367148690
Издательство: Taylor&Francis
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Цена: 158230.00 T
Наличие на складе: Нет в наличии.
Описание: Discrete mathematical Structures are very essential for many fields of study. This book is designed as an introductory book that will provide a sufficient number of solved examples, to motivate the reader to solve similar types of problems.

Автор: Powers, Joseph M. (University of Notre Dame, Indiana) Sen, Mihir (University of Notre Dame, Indiana)
Название: Mathematical Methods in Engineering
ISBN: 1107037042 ISBN-13(EAN): 9781107037045
Издательство: Cambridge Academ
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Цена: 67590.00 T
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Описание: This book is designed for engineering graduate students. It connects mathematics to a variety of methods used for engineering problems by walking the reader stepwise through examples that have been worked in detail, followed by numerous homework problems to reinforce learning and connect the subject matter to engineering applications.