Sparse Grids and Applications - Munich 2018, Bungartz Hans-Joachim, Garcke Jochen, Pflьger Dirk

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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Цена: 135090.00 T
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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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Цена: 135090.00 T
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Описание: Sparse grids have gained increasing interest in recent years for the numerical treatment of high-dimensional problems.

Название: Sparse grids and applications - stuttgart 2014
ISBN: 3319282603 ISBN-13(EAN): 9783319282602
Издательство: Springer
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Цена: 93160.00 T
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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: Ming-Jun Lai, Yang Wang
Название: Sparse Solutions of Underdetermined Linear Systems
ISBN: 1611976502 ISBN-13(EAN): 9781611976502
Издательство: Mare Nostrum (Eurospan)
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Цена: 74410.00 T
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Описание: This textbook presents a special solution of underdetermined linear systems where the number of nonzero entries in the solution is very small compared to the total number of entries. This is called sparse solution. As underdetermined linear systems can be very different, the authors explain how to compute a sparse solution by many approaches.Sparse Solutions of Underdetermined Linear Systems:Contains 72 algorithms for finding sparse solutions of underdetermined linear systems and their applications for matrix completion, graph clustering, and phase retrieval.Provides a detailed explanation of these algorithms including derivations and convergence analysis.Includes exercises for each chapter to help the reader understand the material.This textbook is appropriate for graduate students in math and applied math, computer science, statistics, data science, and engineering. Advisors and postdocs will also find the book of interest.It is appropriate for the following courses: Advanced Numerical Analysis, Special Topics on Numerical Analysis, Topics on Data Science, Topics on Numerical Optimization, and Topics on Approximation Theory.

Автор: Hackbusch Wolfgang
Название: Iterative Solution of Large Sparse Systems of Equations
ISBN: 3319803603 ISBN-13(EAN): 9783319803609
Издательство: Springer
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Цена: 158380.00 T
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Описание: Part I: Linear Iterations.- Introduction.- Iterative Methods.- Classical Linear Iterations in the Positive Definite Case.- Analysis of Classical Iterations Under Special Structural Conditions.- Algebra of Linear Iterations.- Analysis of Positive Definite Iterations.- Generation of Iterations. Part II: Semi-Iterations and Krylov Methods.- Semi-Iterative Methods.- Gradient Methods.- Conjugate Gradient Methods and Generalizations.- Part III: Special Iterations.- Multigrid Iterations.- Domain Decomposition and Subspace Methods.- H-LU Iteration.- Tensor-based Methods.- Appendices.

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
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Цена: 139750.00 T
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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.

Автор: Garcke
Название: Sparse Grids and Applications - Miami 2016
ISBN: 3319754254 ISBN-13(EAN): 9783319754253
Издательство: Springer
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Цена: 139750.00 T
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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: 102480.00 T
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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: Wolfgang Hackbusch
Название: Iterative Solution of Large Sparse Systems of Equations
ISBN: 1461287243 ISBN-13(EAN): 9781461287247
Издательство: Springer
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Цена: 83850.00 T
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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: 111790.00 T
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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: Jochen Garcke; Michael Griebel
Название: Sparse Grids and Applications
ISBN: 3642426603 ISBN-13(EAN): 9783642426605
Издательство: Springer
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Цена: 130430.00 T
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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.

Автор: Siegfried Wagner; Matthias Steinmetz; Arndt Bode;
Название: High Performance Computing in Science and Engineering, Garching/Munich 2009
ISBN: 3662519631 ISBN-13(EAN): 9783662519639
Издательство: Springer
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Цена: 241310.00 T
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Описание: Similar to the workshop two years ago, the majority of the contributed papers belong to the area of computational ?uid dynamics (CFD), condensed matter physics, astrophysics, chemistry, computer sciences and high-energy physics.