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Operators and Iterative Processes of Fejйr Type, Vasin Vladimir V., Eremin Ivan I.


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Автор: Vasin Vladimir V., Eremin Ivan I.
Название:  Operators and Iterative Processes of Fejйr Type
ISBN: 9783110218183
Издательство: Walter de Gruyter
Издательство: de Gruyter
Классификация:
ISBN-10: 3110218186
Обложка/Формат: Hardcover
Страницы: 169
Вес: 0.48 кг.
Дата издания: 29.04.2015
Серия: Inverse and ill-posed problems series
Язык: English
Размер: 24.41 x 16.99 x 1.12 cm
Читательская аудитория: Professional & vocational
Подзаголовок: Theory and applications
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Поставляется из: США
Описание: The Inverse and Ill-Posed Problems Series is a series of monographs publishing postgraduate level information on inverse and ill-posed problems for an international readership of professional scientists and researchers. The series aims to publish works which involve both theory and applications in, e.g., physics, medicine, geophysics, acoustics, electrodynamics, tomography, and ecology.


Fixed Points of Nonlinear Operators: Iterative Methods

Автор: Haiyun Zhou
Название: Fixed Points of Nonlinear Operators: Iterative Methods
ISBN: 311066397X ISBN-13(EAN): 9783110663976
Издательство: Walter de Gruyter
Цена: 16169.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание:

Iterative Methods for Fixed Points of Nonlinear Operators offers an introduction into iterative methods of fixed points for nonexpansive mappings, pseudo-contrations in Hilbert Spaces and in Banach Spaces. Iterative methods of zeros for accretive mappings in Banach Spaces and monotone mappings in Hilbert Spaces are also discussed. It is an essential work for mathematicians and graduate students in nonlinear analysis.

Iterative Learning Stabilization and Fault-Tolerant Control for Batch Processes

Автор: Limin Wang; Ridong Zhang; Furong Gao
Название: Iterative Learning Stabilization and Fault-Tolerant Control for Batch Processes
ISBN: 9811357897 ISBN-13(EAN): 9789811357893
Издательство: Springer
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Цена: 12196.00 р.
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Описание: This book is based on the authors` research on the stabilization and fault-tolerant control of batch processes, which are flourishing topics in the field of control system engineering.

Iterative Solution of Large Sparse Systems of Equations

Автор: Hackbusch
Название: Iterative Solution of Large Sparse Systems of Equations
ISBN: 3319284819 ISBN-13(EAN): 9783319284811
Издательство: Springer
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Цена: 15855.00 р.
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Описание:

In the second edition of this classic monograph, complete with four new chapters and updated references, readers will now have access to content describing and analysing classical and modern methods with emphasis on the algebraic structure of linear iteration, which is usually ignored in other literature.
The necessary amount of work increases dramatically with the size of systems, so one has to search for algorithms that most efficiently and accurately solve systems of, e.g., several million equations. The choice of algorithms depends on the special properties the matrices in practice have. An important class of large systems arises from the discretization of partial differential equations. In this case, the matrices are sparse (i.e., they contain mostly zeroes) and well-suited to iterative algorithms.
The first edition of this book grew out of a series of lectures given by the author at the Christian-Albrecht University of Kiel to students of mathematics. The second edition includes quite novel approaches.
Advances in Iterative Methods for Nonlinear Equations

Автор: Amat
Название: Advances in Iterative Methods for Nonlinear Equations
ISBN: 3319392271 ISBN-13(EAN): 9783319392271
Издательство: Springer
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Цена: 11586.00 р.
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Описание: This book focuses on the approximation of nonlinear equations using iterative methods. Nine contributions are presented on the construction and analysis of these methods, the coverage encompassing convergence, efficiency, robustness, dynamics, and applications. Many problems are stated in the form of nonlinear equations, using mathematical modeling. In particular, a wide range of problems in Applied Mathematics and in Engineering can be solved by finding the solutions to these equations. The book reveals the importance of studying convergence aspects in iterative methods and shows that selection of the most efficient and robust iterative method for a given problem is crucial to guaranteeing a good approximation. A number of sample criteria for selecting the optimal method are presented, including those regarding the order of convergence, the computational cost, and the stability, including the dynamics. This book will appeal to researchers whose field of interest is related to nonlinear problems and equations, and their approximation.

Discretization Methods and Iterative Solvers Based on Domain Decomposition

Автор: Barbara I. Wohlmuth
Название: Discretization Methods and Iterative Solvers Based on Domain Decomposition
ISBN: 354041083X ISBN-13(EAN): 9783540410836
Издательство: Springer
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Цена: 12196.00 р.
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Описание: Domain decomposition methods provide powerful and flexible tools for the numerical approximation of partial differential equations arising in the modeling of many interesting applications in science and engineering.

Iterative Methods for Queuing and Manufacturing Systems

Автор: Wai K. Ching
Название: Iterative Methods for Queuing and Manufacturing Systems
ISBN: 1849968705 ISBN-13(EAN): 9781849968706
Издательство: Springer
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Цена: 10366.00 р.
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Описание: An introduction to the recent advances and developments in iterative methods for solving Markovian queuing and manufacturing problems. With numerous exercises and fully-worked examples, this book is essential reading for anyone interested in the formulation and computation of queuing and manufacturing systems.

Iterative Learning Control for Systems with Iteration-Varying Trial Lengths: Synthesis and Analysis

Автор: Shen Dong, Li Xuefang
Название: Iterative Learning Control for Systems with Iteration-Varying Trial Lengths: Synthesis and Analysis
ISBN: 9811361355 ISBN-13(EAN): 9789811361357
Издательство: Springer
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Цена: 17074.00 р.
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Описание: This book presents a comprehensive and detailed study on iterative learning control (ILC) for systems with iteration-varying trial lengths. Instead of traditional ILC, which requires systems to repeat on a fixed time interval, this book focuses on a more practical case where the trial length might randomly vary from iteration to iteration. The iteration-varying trial lengths may be different from the desired trial length, which can cause redundancy or dropouts of control information in ILC, making ILC design a challenging problem. The book focuses on the synthesis and analysis of ILC for both linear and nonlinear systems with iteration-varying trial lengths, and proposes various novel techniques to deal with the precise tracking problem under non-repeatable trial lengths, such as moving window, switching system, and searching-based moving average operator. It not only discusses recent advances in ILC for systems with iteration-varying trial lengths, but also includes numerous intuitive figures to allow readers to develop an in-depth understanding of the intrinsic relationship between the incomplete information environment and the essential tracking performance. This book is intended for academic scholars and engineers who are interested in learning about control, data-driven control, networked control systems, and related fields. It is also a useful resource for graduate students in the above field.

Recent Advances in Iterative Methods

Автор: Gene Golub; Anne Greenbaum; Mitchell Luskin
Название: Recent Advances in Iterative Methods
ISBN: 1461393558 ISBN-13(EAN): 9781461393559
Издательство: Springer
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Цена: 14635.00 р.
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Описание: This IMA Volume in Mathematics and its Applications RECENT ADVANCES IN ITERATIVE METHODS is based on the proceedings of a workshop that was an integral part of the 1991-92 IMA program on "Applied Linear Algebra.


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