Sparse Grids and Applications - Miami 2016, Garcke

Автор: Jochen Garcke; Dirk Pfl?ger
Название: Sparse Grids and Applications - Munich 2012
ISBN: 3319381539 ISBN-13(EAN): 9783319381534
Издательство: Springer
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Описание: Sparse grids have gained increasing interest in recent years for the numerical treatment of high-dimensional problems.

Автор: Jochen Garcke; Dirk Pfl?ger
Название: Sparse Grids and Applications - Munich 2012
ISBN: 3319045369 ISBN-13(EAN): 9783319045368
Издательство: Springer
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Описание: Sparse grids have gained increasing interest in recent years for the numerical treatment of high-dimensional problems.

Автор: Jochen Garcke; Michael Griebel
Название: Sparse Grids and Applications
ISBN: 3642426603 ISBN-13(EAN): 9783642426605
Издательство: Springer
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Цена: 19564.00 р.
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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.

Название: Sparse grids and applications - stuttgart 2014
ISBN: 3319282603 ISBN-13(EAN): 9783319282602
Издательство: Springer
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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: Markus Holtz
Название: Sparse Grid Quadrature in High Dimensions with Applications in Finance and Insurance
ISBN: 3642265634 ISBN-13(EAN): 9783642265631
Издательство: Springer
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Цена: 15372.00 р.
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Описание: This book deals with the numerical analysis and efficient numerical treatment of high-dimensional integrals using sparse grids and other dimension-wise integration techniques with applications to finance and insurance.

Автор: Alan George; John R. Gilbert; Joseph W.H. Liu
Название: Graph Theory and Sparse Matrix Computation
ISBN: 1461383714 ISBN-13(EAN): 9781461383710
Издательство: Springer
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Цена: 16769.00 р.
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Описание: This IMA Volume in Mathematics and its Appllcations GRAPH THEORY AND SPARSE MATRIX COMPUTATION is based on the proceedings of a workshop that was an integraI part of the 1991- 92 IMA program on "Applied Linear AIgebra." The purpose of the workshop was to bring together people who work in sparse matrix computation with those who conduct research in applied graph theory and grl: l, ph algorithms, in order to foster active cross-fertilization. We are grateful to Richard Brualdi, George Cybenko, Alan Geo ge, Gene Golub, Mitchell Luskin, and Paul Van Dooren for planning and implementing the year-Iong program. We espeeially thank Alan George, John R. Gilbert, and Joseph W.H. Liu for organizing this workshop and editing the proceedings. The finaneial support of the National Science Foundation made the workshop possible. A vner Friedman Willard Miller. Jr. PREFACE When reality is modeled by computation, linear algebra is often the con nec- tiori between the continuous physical world and the finite algorithmic one. Usually, the more detailed the model, the bigger the matrix, the better the answer. Efficiency demands that every possible advantage be exploited: sparse structure, advanced com- puter architectures, efficient algorithms. Therefore sparse matrix computation knits together threads from linear algebra, parallei computing, data struetures, geometry, and both numerieal and discrete algorithms.

Автор: T. F. Coleman
Название: Large Sparse Numerical Optimization
ISBN: 3540129146 ISBN-13(EAN): 9783540129141
Издательство: Springer
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Автор: O. Osterby; Z. Zlatev
Название: Direct Methods for Sparse Matrices
ISBN: 3540126767 ISBN-13(EAN): 9783540126768
Издательство: Springer
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Автор: Avishy Y. Carmi; Lyudmila Mihaylova; Simon J. Gods
Название: Compressed Sensing & Sparse Filtering
ISBN: 366250894X ISBN-13(EAN): 9783662508947
Издательство: Springer
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Цена: 20896.00 р.
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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.

Автор: Michael Elad
Название: Sparse and Redundant Representations
ISBN: 1489982450 ISBN-13(EAN): 9781489982452
Издательство: Springer
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Описание: This book introduces sparse and redundant representations with a focus on applications in signal and image processing. It details mathematical modeling for signal sources along with how to use the model for tasks such as denoising, restoration and separation.

Автор: Avishy Y. Carmi; Lyudmila Mihaylova; Simon J. Gods
Название: Compressed Sensing & Sparse Filtering
ISBN: 3642383971 ISBN-13(EAN): 9783642383977
Издательство: Springer
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Цена: 27950.00 р.
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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.

Автор: Duff I. S
Название: Direct Methods for Sparse Matrices
ISBN: 0198508387 ISBN-13(EAN): 9780198508380
Издательство: Oxford Academ
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Описание: The subject of sparse matrices has its root in such diverse fields as management science, power systems analysis, surveying, circuit theory, and structural analysis. Efficient use of sparsity is a key to solving large problems in many fields. This book provides both insight and answers for those attempting to solve these problems.