Algebraic and Symbolic Computation Methods in Dynamical Systems, Quadrat Alban, Zerz Eva

Автор: Watrous, John (university Of Waterloo, Ontario)
Название: The theory of quantum information
ISBN: 1107180562 ISBN-13(EAN): 9781107180567
Издательство: Cambridge Academ
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Цена: 77090.00 T
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Описание: Intended for graduate students and researchers, this book presents a formal development of the mathematical theory of quantum information. Largely self-contained, with clear proofs and a wide range of exercises, it will help the reader grasp the fundamental facts and techniques that form the mathematical foundations of the subject.

Автор: Morris W. Hirsch
Название: Differential Equations, Dynamical Systems, and an Introduction to Chaos
ISBN: 0123820103 ISBN-13(EAN): 9780123820105
Издательство: Elsevier Science
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Цена: 88690.00 T
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Описание: Suitable for students in the fields of mathematics, science, and engineering, this title provides a theoretical approach to dynamical systems and chaos. It helps them to analyze the types of differential equations that arise in their area of study.

Автор: Quadrat Alban, Zerz Eva
Название: Algebraic and Symbolic Computation Methods in Dynamical Systems
ISBN: 3030383555 ISBN-13(EAN): 9783030383558
Издательство: Springer
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Цена: 93160.00 T
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Описание: Combined with real algebraic geometry, which was previously introduced in control theory, the past years have seen a flourishing development of algebraic methods in control theory.

Автор: Robinson, Clark
Название: Dynamical Systems: Stability, Symbolic Dynamics, and Chaos ( Studies in Advanced Mathematics #28 )
ISBN: 0849384958 ISBN-13(EAN): 9780849384950
Издательство: Taylor&Francis
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Цена: 193950.00 T
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Описание: Treats the dynamics of both iteration of functions and solutions of ordinary differential equations. This book introduces various concepts for iteration of functions where the geometry is simpler, but results are interpreted for differential equations. It concentrates on properties of the whole system or subsets of the system.

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: Patrizia Gianni
Название: Symbolic and Algebraic Computation
ISBN: 3540510842 ISBN-13(EAN): 9783540510840
Издательство: Springer
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Цена: 93160.00 T
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Автор: E.W. Ng
Название: Symbolic and Algebraic Computation
ISBN: 3540095195 ISBN-13(EAN): 9783540095194
Издательство: Springer
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Цена: 37260.00 T
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Автор: Chakraverty Snehashish, Jeswal Sumit Kumar
Название: Applied Artificial Neural Network Methods for Engineers and Scientists: Solving Algebraic Equations
ISBN: 981123020X ISBN-13(EAN): 9789811230202
Издательство: World Scientific Publishing
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Цена: 73920.00 T
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Описание: The aim of this book is to handle different application problems of science and engineering using expert Artificial Neural Network (ANN). As such, the book starts with basics of ANN along with different mathematical preliminaries with respect to algebraic equations. Then it addresses ANN based methods for solving different algebraic equations viz. polynomial equations, diophantine equations, transcendental equations, system of linear and nonlinear equations, eigenvalue problems etc. which are the basic equations to handle the application problems mentioned in the content of the book. Although there exist various methods to handle these problems, but sometimes those may be problem dependent and may fail to give a converge solution with particular discretization. Accordingly, ANN based methods have been addressed here to solve these problems. Detail ANN architecture with step by step procedure and algorithm have been included. Different example problems are solved with respect to various application and mathematical problems. Convergence plots and/or convergence tables of the solutions are depicted to show the efficacy of these methods. It is worth mentioning that various application problems viz. Bakery problem, Power electronics applications, Pole placement, Electrical Network Analysis, Structural engineering problem etc. have been solved using the ANN based methods.

Автор: Kuznetsov Nikolay, Reitmann Volker
Название: Attractor Dimension Estimates for Dynamical Systems: Theory and Computation: Dedicated to Gennady Leonov
ISBN: 3030509893 ISBN-13(EAN): 9783030509897
Издательство: Springer
Цена: 204970.00 T
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Описание: This book provides analytical and numerical methods for the estimation of dimension characteristics (Hausdorff, Fractal, Caratheodory dimensions) for attractors and invariant sets of dynamical systems and cocycles generated by smooth differential equations or maps in finite-dimensional Euclidean spaces or on manifolds.

Автор: Mora
Название: Solving Polynomial Equation Systems III
ISBN: 0521811554 ISBN-13(EAN): 9780521811552
Издательство: Cambridge Academ
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Цена: 121440.00 T
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Описание: This third volume of four describes all the most important techniques, mainly based on Groebner bases. It covers the `standard` solutions (Gianni-Kalkbrener, Auzinger-Stetter, Cardinal-Mourrain) as well as the more innovative (Lazard-Rouillier, Giusti-Heintz-Pardo). The author also explores the historical background, from Bezout to Macaulay.

Автор: Volker Diekert, Manfred Kufleitner, Gerhard Rosenberger, Ulrich Hertrampf
Название: Discrete Algebraic Methods: Arithmetic, Cryptography, Automata and Groups
ISBN: 3110413329 ISBN-13(EAN): 9783110413328
Издательство: Walter de Gruyter
Цена: 43330.00 T
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Описание: The idea behind this book is to provide the mathematical foundations for assessing modern developments in the Information Age. It deepens and complements the basic concepts, but it also considers instructive and more advanced topics. The treatise starts with a general chapter on algebraic structures; this part provides all the necessary knowledge for the rest of the book. The next chapter gives a concise overview of cryptography. Chapter 3 on number theoretic algorithms is important for developping cryptosystems, Chapter 4 presents the deterministic primality test of Agrawal, Kayal, and Saxena. The account to elliptic curves again focuses on cryptographic applications and algorithms. With combinatorics on words and automata theory, the reader is introduced to two areas of theoretical computer science where semigroups play a fundamental role.The last chapter is devoted to combinatorial group theory and its connections to automata. Contents:Algebraic structuresCryptographyNumber theoretic algorithmsPolynomial time primality testElliptic curvesCombinatorics on wordsAutomataDiscrete infinite groups

Автор: Kuznetsov Nikolay, Reitmann Volker
Название: Attractor Dimension Estimates for Dynamical Systems: Theory and Computation: Dedicated to Gennady Leonov
ISBN: 3030509869 ISBN-13(EAN): 9783030509866
Издательство: Springer
Рейтинг:
Цена: 204970.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides analytical and numerical methods for the estimation of dimension characteristics (Hausdorff, Fractal, Caratheodory dimensions) for attractors and invariant sets of dynamical systems and cocycles generated by smooth differential equations or maps in finite-dimensional Euclidean spaces or on manifolds.