Author: Chunguang Sun
Publisher:
ISBN:
Category : Least squares
Languages : en
Pages : 24
Book Description
Parallel Multifrontal Solution of Sparse Linear Least Squares Problems on Distributed-memory Multiprocessors
Author: Chunguang Sun
Publisher:
ISBN:
Category : Least squares
Languages : en
Pages : 24
Book Description
Publisher:
ISBN:
Category : Least squares
Languages : en
Pages : 24
Book Description
Proceedings of the Seventh SIAM Conference on Parallel Processing for Scientific Computing
Author: David H. Bailey
Publisher: SIAM
ISBN: 9780898713442
Category : Science
Languages : en
Pages : 900
Book Description
Proceedings -- Parallel Computing.
Publisher: SIAM
ISBN: 9780898713442
Category : Science
Languages : en
Pages : 900
Book Description
Proceedings -- Parallel Computing.
Parallel Sparse Orthogonal Factorization on Distributed-memory Multiprocessors
Author: Chunguang Sun
Publisher:
ISBN:
Category : Factorization (Mathematics)
Languages : en
Pages : 34
Book Description
Publisher:
ISBN:
Category : Factorization (Mathematics)
Languages : en
Pages : 34
Book Description
Direct Methods for Sparse Linear Systems
Author: Timothy A. Davis
Publisher: SIAM
ISBN: 0898716136
Category : Computers
Languages : en
Pages : 228
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.
Publisher: SIAM
ISBN: 0898716136
Category : Computers
Languages : en
Pages : 228
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
Author: Michael T. Heath
Publisher:
ISBN:
Category : Electronic data processing
Languages : en
Pages : 44
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."
Publisher:
ISBN:
Category : Electronic data processing
Languages : en
Pages : 44
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
Author: Ake Bjorck
Publisher: SIAM
ISBN: 0898713609
Category : Mathematics
Languages : en
Pages : 421
Book Description
The method of least squares: the principal tool for reducing the influence of errors when fitting models to given observations.
Publisher: SIAM
ISBN: 0898713609
Category : Mathematics
Languages : en
Pages : 421
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
Author: Almerico Murli
Publisher: Springer
ISBN: 0585267782
Category : Business & Economics
Languages : en
Pages : 158
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.
Publisher: Springer
ISBN: 0585267782
Category : Business & Economics
Languages : en
Pages : 158
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
Author: K. Gallivan
Publisher: SIAM
ISBN: 0898712602
Category : Mathematics
Languages : en
Pages : 204
Book Description
Mathematics of Computing -- Parallelism.
Publisher: SIAM
ISBN: 0898712602
Category : Mathematics
Languages : en
Pages : 204
Book Description
Mathematics of Computing -- Parallelism.
SIAM Journal on Scientific Computing
Author:
Publisher:
ISBN:
Category : Mathematical statistics
Languages : en
Pages : 824
Book Description
Publisher:
ISBN:
Category : Mathematical statistics
Languages : en
Pages : 824
Book Description
Analysis and Design of Scalable Parallel Algorithms for Scientific Computing
Author: Anshul Gupta
Publisher:
ISBN:
Category :
Languages : en
Pages : 386
Book Description
Publisher:
ISBN:
Category :
Languages : en
Pages : 386
Book Description