First International Symposium on Domain Decomposition Methods for Partial Differential Equations PDF Download
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Author: R. Glowinski
Publisher: Society for Industrial and Applied Mathematics (SIAM)
ISBN:
Category : Mathematics
Languages : en
Pages : 462
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Book Description
Author: R. Glowinski
Publisher: Society for Industrial and Applied Mathematics (SIAM)
ISBN:
Category : Mathematics
Languages : en
Pages : 462
Get Book Here
Book Description
Author: David E. Keyes
Publisher: SIAM
ISBN: 9780898712889
Category : Mathematics
Languages : en
Pages : 642
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Book Description
Papers presented at the May 1991 symposium reflect continuing interest in the role of domain decomposition in the effective utilization of parallel systems; applications in fluid mechanics, structures, biology, and design optimization; and maturation of analysis of elliptic equations, with theoretic
Author: R. Glowinski
Publisher: SIAM
ISBN: 9780898712780
Category : Mathematics
Languages : en
Pages : 438
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Book Description
Focuses on the notion that by breaking the domain of the original problem into subdomains, such an approach can, if properly implemented, lead to a considerable speedup. The methods are particularly well suited for parallel computers.
Author: Tony F. Chan
Publisher: SIAM
ISBN: 9780898712537
Category : Mathematics
Languages : en
Pages : 518
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Book Description
Author: R. Glowinski
Publisher: SIAM
ISBN: 9780898712209
Category : Mathematics
Languages : en
Pages : 456
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Book Description
Author: Daniel Barbara
Publisher: SIAM
ISBN: 9780898715453
Category : Mathematics
Languages : en
Pages : 368
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Book Description
The third SIAM International Conference on Data Mining provided an open forum for the presentation, discussion and development of innovative algorithms, software and theories for data mining applications and data intensive computation. This volume includes 21 research papers.
Author: Hillol Kargupta
Publisher: SIAM
ISBN: 9780898715934
Category : Mathematics
Languages : en
Pages : 670
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Book Description
The Fifth SIAM International Conference on Data Mining continues the tradition of providing an open forum for the presentation and discussion of innovative algorithms as well as novel applications of data mining. Advances in information technology and data collection methods have led to the availability of large data sets in commercial enterprises and in a wide variety of scientific and engineering disciplines. The field of data mining draws upon extensive work in areas such as statistics, machine learning, pattern recognition, databases, and high performance computing to discover interesting and previously unknown information in data. This conference results in data mining, including applications, algorithms, software, and systems.
Author: David H. Bailey
Publisher: SIAM
ISBN: 9780898713442
Category : Science
Languages : en
Pages : 900
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Book Description
Proceedings -- Parallel Computing.
Author: Michael W. Berry
Publisher: SIAM
ISBN: 9780898715682
Category : Mathematics
Languages : en
Pages : 556
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Book Description
The Fourth SIAM International Conference on Data Mining continues the tradition of providing an open forum for the presentation and discussion of innovative algorithms as well as novel applications of data mining. This is reflected in the talks by the four keynote speakers who discuss data usability issues in systems for data mining in science and engineering, issues raised by new technologies that generate biological data, ways to find complex structured patterns in linked data, and advances in Bayesian inference techniques. This proceedings includes 61 research papers.
Author: David E. Keyes
Publisher: American Mathematical Soc.
ISBN: 0821851713
Category : Mathematics
Languages : en
Pages : 578
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Book Description
This book contains proceedings from the Seventh International Conference on Domain Decomposition Methods, held at Pennsylvania State University in October 1993. The term ``domain decomposition'' has for nearly a decade been associated with the partly iterative, partly direct algorithms explored in the proceedings of this conference. Noteworthy trends in the current volume include progress in dealing with so-called ``bad parameters'' in elliptic partial differential equation problems, as well as developments in partial differential equations outside of the elliptically-dominated framework. Also described here are convergence and complexity results for novel discretizations, which bring with them new challenges in the derivation of appropriate operators for coarsened spaces. Implementations and architectural considerations are discussed, as well as partitioning tools and environments. In addition, the book describes a wide array of applications, from semiconductor device simulation to structural mechanics to aerodynamics. Presenting many of the latest results in the field, this book offers readers an up-to-date guide to the many facets of the theory and practice of domain decomposition.
