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The Mathematics of Networks of Linear Systems, Paul A. Fuhrmann; Uwe Helmke


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Автор: Paul A. Fuhrmann; Uwe Helmke
Название:  The Mathematics of Networks of Linear Systems
ISBN: 9783319166452
Издательство: Springer
Классификация:

ISBN-10: 331916645X
Обложка/Формат: Paperback
Страницы: 662
Вес: 0.93 кг.
Дата издания: 11.06.2015
Серия: Universitext
Язык: English
Размер: 168 x 246 x 40
Основная тема: Mathematics
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book provides the mathematical foundations of networks of linear control systems, developed from an algebraic systems theory perspective. Part I can be used as the basis for a first course in Algebraic System Theory, while Part II serves for a second, advanced, course on linear systems.


Mathematics for Finance

Автор: Capinski
Название: Mathematics for Finance
ISBN: 0857290819 ISBN-13(EAN): 9780857290816
Издательство: Springer
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Цена: 4884.00 р.
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Описание: Mathematics for Finance: An Introduction to Financial Engineering combines financial motivation with mathematical style.

Artificial Neural Networks for Modelling and Control of Non-Linear Systems

Автор: Johan A.K. Suykens; Joos P.L. Vandewalle; B.L. de
Название: Artificial Neural Networks for Modelling and Control of Non-Linear Systems
ISBN: 144195158X ISBN-13(EAN): 9781441951588
Издательство: Springer
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Цена: 19589.00 р.
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Описание: Artificial neural networks possess several properties that make them particularly attractive for applications to modelling and control of complex non-linear systems. Topics include non-linear system identification, neural optimal control, top-down model based neural control design and stability analysis of neural control systems.

Actuarial Mathematics for Life Contingent Risks

Автор: Dickson, David C. M.
Название: Actuarial Mathematics for Life Contingent Risks
ISBN: 1107044073 ISBN-13(EAN): 9781107044074
Издательство: Cambridge Academ
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Цена: 12514.00 р.
Наличие на складе: Поставка под заказ.

Описание: Actuarial Mathematics for Life Contingent Risks, 2nd edition, is the sole required text for the Society of Actuaries Exam MLC Fall 2015 and Spring 2016. It covers the entire syllabus for the SOA Exam MLC, including new sections for Spring 2016. It is ideal for university courses and for individuals preparing for professional actuarial examinations - especially the new, long-answer exam questions. Three leaders in actuarial science balance rigor with intuition and emphasize practical applications using computational techniques to provide a modern perspective on life contingencies and equip students for the products and risk structures of the future. The authors then develop a more contemporary outlook, introducing multiple state models, emerging cash flows and embedded options. The 210 exercises provide meaningful practice with both long-answer and multiple choice questions. Furthermore: • the book has been updated to include new material on discrete time Markov processes, on models involving joint lives, and on universal life insurance and participating traditional insurance • the Solutions Manual (ISBN 9781107620261), available for separate purchase, provides detailed solutions to the text's exercises.

Mathematics of epidemics on networks

Автор: Kiss, Istvan Z Miller, Joel C Simon, Peter L
Название: Mathematics of epidemics on networks
ISBN: 3319508040 ISBN-13(EAN): 9783319508047
Издательство: Springer
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Цена: 11179.00 р.
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Описание: This textbook provides an exciting new addition to the area of network science featuring a stronger and more methodical link of models to their mathematical origin and explains how these relate to each other with special focus on epidemic spread on networks. The content of the book is at the interface of graph theory, stochastic processes and dynamical systems. The authors set out to make a significant contribution to closing the gap between model development and the supporting mathematics. This is done by:

  • Summarising and presenting the state-of-the-art in modeling epidemics on networks with results and readily usable models signposted throughout the book;
  • Presenting different mathematical approaches to formulate exact and solvable models;
  • Identifying the concrete links between approximate models and their rigorous mathematical representation;
  • Presenting a model hierarchy and clearly highlighting the links between model assumptions and model complexity;
  • Providing a reference source for advanced undergraduate students, as well as doctoral students, postdoctoral researchers and academic experts who are engaged in modeling stochastic processes on networks;
  • Providing software that can solve differential equation models or directly simulate epidemics on networks.
Replete with numerous diagrams, examples, instructive exercises, and online access to simulation algorithms and readily usable code, this book will appeal to a wide spectrum of readers from different backgrounds and academic levels. Appropriate for students with or without a strong background in mathematics, this textbook can form the basis of an advanced undergraduate or graduate course in both mathematics and other departments alike.

Applications of Mathematics in Models, Artificial Neural Networks and Arts

Автор: Vittorio Capecchi; Massimo Buscema; Pierluigi Cont
Название: Applications of Mathematics in Models, Artificial Neural Networks and Arts
ISBN: 9401783489 ISBN-13(EAN): 9789401783484
Издательство: Springer
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Цена: 36197.00 р.
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Описание: This book is focused on using mathematics in the social sciences. Discussion includes history, mathematical models, artificial neural networks, and the relationship between mathematics and art.

Mathematics of Neural Networks

Автор: Stephen W. Ellacott; John C. Mason; Iain J. Anders
Название: Mathematics of Neural Networks
ISBN: 1461377943 ISBN-13(EAN): 9781461377948
Издательство: Springer
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Цена: 27950.00 р.
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Описание: The conference organisers were John Mason (Huddersfield) and Steve Ellacott (Brighton), supported by a programme committee consisting of Nigel Allinson (UMIST), Norman Biggs (London School of Economics), Chris Bishop (Aston), David Lowe (Aston), Patrick Parks (Oxford), John Taylor (King`s College, Lon- don) and Kevin Warwick (Reading).


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