Sparse Solutions of Underdetermined Linear Systems, Ming-Jun Lai, Yang Wang
Автор: Saad, Yousef Название: Iterative Methods for Sparse Linear Systems, 2 ed. ISBN: 0898715342 ISBN-13(EAN): 9780898715347 Издательство: Wiley Рейтинг: Цена: 27034.00 р. Наличие на складе: Поставка под заказ.
Описание: This second edition gives an in-depth, up-to-date view of practical algorithms for solving large-scale linear systems of equations.
Автор: Avishy Y. Carmi; Lyudmila Mihaylova; Simon J. Gods Название: Compressed Sensing & Sparse Filtering ISBN: 3642383971 ISBN-13(EAN): 9783642383977 Издательство: Springer Рейтинг: Цена: 27950.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents fundamental concepts, methods and algorithms able to cope with undersampled data. It introduces the concept of compressive sampling, which is also called compressed sensing.
Описание: This volume is a selection of written notes corresponding to courses taught at the CIMPA School: "New Trends in Applied Harmonic Analysis:Sparse Representations, Compressed Sensing and Multifractal Analysis".
Автор: Jochen Garcke; Dirk Pfl?ger; Clayton G. Webster; G Название: Sparse Grids and Applications - Miami 2016 ISBN: 3030092275 ISBN-13(EAN): 9783030092276 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Sparse grids are a popular tool for the numerical treatment of high-dimensional problems. Where classical numerical discretization schemes fail in more than three or four dimensions, sparse grids, in their different flavors, are frequently the method of choice. This volume of LNCSE presents selected papers from the proceedings of the fourth workshop on sparse grids and applications, and demonstrates once again the importance of this numerical discretization scheme. The articles present recent advances in the numerical analysis of sparse grids in connection with a range of applications including computational chemistry, computational fluid dynamics, and big data analytics, to name but a few.
Название: Sparse grids and applications - stuttgart 2014 ISBN: 3319282603 ISBN-13(EAN): 9783319282602 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Where classical numerical discretization schemes fail in more than three or four dimensions, sparse grids, in their different guises, are frequently the method of choice, be it spatially adaptive in the hierarchical basis or via the dimensionally adaptive combination technique.
Автор: O. Osterby; Z. Zlatev Название: Direct Methods for Sparse Matrices ISBN: 3540126767 ISBN-13(EAN): 9783540126768 Издательство: Springer Рейтинг: Цена: 2794.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Jochen Garcke; Michael Griebel Название: Sparse Grids and Applications ISBN: 3642426603 ISBN-13(EAN): 9783642426605 Издательство: Springer Рейтинг: Цена: 19564.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume of LNCSE is a collection of the papers from the proceedings of the workshop on sparse grids and its applications held in Bonn in May 2011. The selected articles present recent advances in the mathematical understanding and analysis of sparse grid discretization.
Автор: Hackbusch Название: Iterative Solution of Large Sparse Systems of Equations ISBN: 3319284819 ISBN-13(EAN): 9783319284811 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
Автор: Wolfgang Hackbusch Название: Iterative Solution of Large Sparse Systems of Equations ISBN: 1461287243 ISBN-13(EAN): 9781461287247 Издательство: Springer Рейтинг: Цена: 12577.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: T. F. Coleman Название: Large Sparse Numerical Optimization ISBN: 3540129146 ISBN-13(EAN): 9783540129141 Издательство: Springer Рейтинг: Цена: 2794.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Jochen Garcke; Dirk Pfl?ger Название: Sparse Grids and Applications - Munich 2012 ISBN: 3319045369 ISBN-13(EAN): 9783319045368 Издательство: Springer Рейтинг: Цена: 20263.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Sparse grids have gained increasing interest in recent years for the numerical treatment of high-dimensional problems.
Автор: Lijun Chang; Lu Qin Название: Cohesive Subgraph Computation over Large Sparse Graphs ISBN: 3030035980 ISBN-13(EAN): 9783030035983 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
This book is considered the first extended survey on algorithms and techniques for efficient cohesive subgraph computation. With rapid development of information technology, huge volumes of graph data are accumulated. An availability of rich graph data not only brings great opportunities for realizing big values of data to serve key applications, but also brings great challenges in computation. Using a consistent terminology, the book gives an excellent introduction to the models and algorithms for the problem of cohesive subgraph computation. The materials of this book are well organized from introductory content to more advanced topics while also providing well-designed source codes for most algorithms described in the book.
This is a timely book for researchers who are interested in this topic and efficient data structure design for large sparse graph processing. It is also a guideline book for new researchers to get to know the area of cohesive subgraph computation.
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