Parallel Multifrontal Solution of Sparse Linear Least Squares Problems on Distributed-memory Multiprocessors

Parallel Multifrontal Solution of Sparse Linear Least Squares Problems on Distributed-memory Multiprocessors PDF Author: Chunguang Sun
Publisher:
ISBN:
Category : Least squares
Languages : en
Pages : 24

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Parallel Multifrontal Solution of Sparse Linear Least Squares Problems on Distributed-memory Multiprocessors

Parallel Multifrontal Solution of Sparse Linear Least Squares Problems on Distributed-memory Multiprocessors PDF Author: Chunguang Sun
Publisher:
ISBN:
Category : Least squares
Languages : en
Pages : 24

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Proceedings of the Seventh SIAM Conference on Parallel Processing for Scientific Computing

Proceedings of the Seventh SIAM Conference on Parallel Processing for Scientific Computing PDF Author: David H. Bailey
Publisher: SIAM
ISBN: 9780898713442
Category : Science
Languages : en
Pages : 900

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Book Description
Proceedings -- Parallel Computing.

Parallel Sparse Orthogonal Factorization on Distributed-memory Multiprocessors

Parallel Sparse Orthogonal Factorization on Distributed-memory Multiprocessors PDF Author: Chunguang Sun
Publisher:
ISBN:
Category : Factorization (Mathematics)
Languages : en
Pages : 34

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Direct Methods for Sparse Linear Systems

Direct Methods for Sparse Linear Systems PDF Author: Timothy A. Davis
Publisher: SIAM
ISBN: 0898716136
Category : Computers
Languages : en
Pages : 228

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Book Description
The sparse backslash book. Everything you wanted to know but never dared to ask about modern direct linear solvers. Chen Greif, Assistant Professor, Department of Computer Science, University of British Columbia.Overall, the book is magnificent. It fills a long-felt need for an accessible textbook on modern sparse direct methods. Its choice of scope is excellent John Gilbert, Professor, Department of Computer Science, University of California, Santa Barbara.Computational scientists often encounter problems requiring the solution of sparse systems of linear equations. Attacking these problems efficiently requires an in-depth knowledge of the underlying theory, algorithms, and data structures found in sparse matrix software libraries. Here, Davis presents the fundamentals of sparse matrix algorithms to provide the requisite background. The book includes CSparse, a concise downloadable sparse matrix package that illustrates the algorithms and theorems presented in the book and equips readers with the tools necessary to understand larger and more complex software packages.With a strong emphasis on MATLAB and the C programming language, Direct Methods for Sparse Linear Systems equips readers with the working knowledge required to use sparse solver packages and write code to interface applications to those packages. The book also explains how MATLAB performs its sparse matrix computations.Audience This invaluable book is essential to computational scientists and software developers who want to understand the theory and algorithms behind modern techniques used to solve large sparse linear systems. The book also serves as an excellent practical resource for students with an interest in combinatorial scientific computing.Preface; Chapter 1: Introduction; Chapter 2: Basic algorithms; Chapter 3: Solving triangular systems; Chapter 4: Cholesky factorization; Chapter 5: Orthogonal methods; Chapter 6: LU factorization; Chapter 7: Fill-reducing orderings; Chapter 8: Solving sparse linear systems; Chapter 9: CSparse; Chapter 10: Sparse matrices in MATLAB; Appendix: Basics of the C programming language; Bibliography; Index.

Distributed Solution of Sparse Linear Systems

Distributed Solution of Sparse Linear Systems PDF Author: Michael T. Heath
Publisher:
ISBN:
Category : Electronic data processing
Languages : en
Pages : 44

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Book Description
We present results of an implementation on an Intel iPSC/860 parallel computer. An an [sic] alternative to estimating the structure of L using the separator tree, we develop an algorithm to compute the elimination tree on a distributed memory machine. Our algorithm uses the separator tree to achieve better time and space complexity than earlier work."

Numerical Methods for Least Squares Problems

Numerical Methods for Least Squares Problems PDF Author: Ake Bjorck
Publisher: SIAM
ISBN: 0898713609
Category : Mathematics
Languages : en
Pages : 421

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Book Description
The method of least squares: the principal tool for reducing the influence of errors when fitting models to given observations.

Computational Issues in High Performance Software for Nonlinear Optimization

Computational Issues in High Performance Software for Nonlinear Optimization PDF Author: Almerico Murli
Publisher: Springer
ISBN: 0585267782
Category : Business & Economics
Languages : en
Pages : 158

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Book Description
Computational Issues in High Performance Software for Nonlinear Research brings together in one place important contributions and up-to-date research results in this important area. Computational Issues in High Performance Software for Nonlinear Research serves as an excellent reference, providing insight into some of the most important research issues in the field.

Parallel Algorithms for Matrix Computations

Parallel Algorithms for Matrix Computations PDF Author: K. Gallivan
Publisher: SIAM
ISBN: 0898712602
Category : Mathematics
Languages : en
Pages : 204

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Book Description
Mathematics of Computing -- Parallelism.

SIAM Journal on Scientific Computing

SIAM Journal on Scientific Computing PDF Author:
Publisher:
ISBN:
Category : Mathematical statistics
Languages : en
Pages : 824

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Analysis and Design of Scalable Parallel Algorithms for Scientific Computing

Analysis and Design of Scalable Parallel Algorithms for Scientific Computing PDF Author: Anshul Gupta
Publisher:
ISBN:
Category :
Languages : en
Pages : 386

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