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Combinatorial scientific computing

Naumann, Uwe (1969-)

Combinatorial scientific computing

紀錄類型:	書目-語言資料,印刷品 : 單行本
作者:	NaumannUwe.,
其他作者:	NaumannUwe, 1969-
其他作者:	SchenkOlaf, 1967-
出版地:	Boca Raton, FL
出版者:	CRC Press;
出版年:	2019, c2012.
面頁冊數:	xxiii, 568 p.ill. : 24 cm.;
集叢名:	Chapman & Hall
標題:	Computer programming. -
標題:	Science - Data processing. -
標題:	Combinatorial analysis. -
附註:	Frist issued in paperback 2019.
摘要註:	"Combinatorial Scientific Computing explores the latest research on creating algorithms and software tools to solve key combinatorial problems on large-scale high-performance computing architectures. It includes contributions from international researchers who are pioneers in designing software and applications for high-performance computing systems. The book offers a state-of-the-art overview of the latest research, tool development, and applications. It focuses on load balancing and parallelization on high-performance computers, large-scale optimization, algorithmic differentiation of numerical simulation code, sparse matrix software tools, and combinatorial challenges and applications in large-scale social networks. The authors unify these seemingly disparate areas through a common set of abstractions and algorithms based on combinatorics, graphs, and hypergraphs. Combinatorial algorithms have long played a crucial enabling role in scientific and engineering computations and their importance continues to grow with the demands of new applications and advanced architectures. By addressing current challenges in the field, this volume sets the stage for the accelerated development and deployment of fundamental enabling technologies in high-performance scientific computing."--Back cover.
ISBN:	9780367381752
內容註:	1. Combinatorial scientific computing : past successes, current opportunities, future challenges / Bruce Hendrickson and Alex Pothen 2. Combinatorial problems in solving linear systems / Iain Duff and Bora Ucar 3. Combinatorial preconditioners / Sivan Toledo and Haim Avron 4. A scalable hybrid linear solver based on combinatorial algorithms / Madan Sathe. [et al.] 5. Combinatorial problems in algorithmic differentiation / Uwe Naumann and Andrea Walther 6. Combinatorial problems in OpenAD / Jean Utke and Uwe Naumann 7. Getting started with ADOL-C / Andrea Walther and Andreas Griewank 8. Algorithmic differentiation and nonlinear optimization for an inverse medium problem / Johannes Huber. [et al.] 9. Combinatorial aspects/algorithms in computational fluid dynamics / Rainald Lohner 10. Unstructured mesh generation / Jonathan Richard Shewchuk 11. 3D Delaunay mesh generation / Klaus Gartner. [et al.] 12. Two-dimensional approaches to sparse matrix partitioning / Rob H. Bisseling. [et al.] 13. Parallel partitioning, coloring, and ordering in scientific computing / E.G. Boman. [et al.] 14. Scotch and PT-Scotch graph partitioning software : an overview / Francois Pellegrini 15. Massively parallel graph partitioning : a case in human bone simulations / C. Bekas. [et al.] 16. Algorithmic and statistical perspectives on large-scale data analysis / Michael W. Mahoney 17. Computational challenges in emerging combinatorial scientific computing applications / David A. Bader and Kamesh Madduri 18. Spectral graph theory / Daniel Spielman 19. Algorithms for visualizing large networks / Yifan Hu.

Combinatorial scientific computing
Naumann, Uwe.

Combinatorial scientific computing / edited by Uwe Naumann, Olaf Schenk. - Boca Raton, FL : CRC Press, 2019, c2012.. - xxiii, 568 p. ; ill. ; 24 cm.. - (Chapman & Hall).
1. Combinatorial scientific computing : past successes, current opportunities, future challenges / Bruce Hendrickson and Alex Pothen.
Frist issued in paperback 2019..
Includes bibliographical references and index..
ISBN 9780367381752ISBN 0367381753ISBN 9781439827352ISBN 9781439827369ISBN 1439827354
Computer programming.ScienceCombinatorial analysis. -- Data processing.

Naumann, Uwe

Combinatorial scientific computing
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320 $a Includes bibliographical references and index.
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330 $a "Combinatorial Scientific Computing explores the latest research on creating algorithms and software tools to solve key combinatorial problems on large-scale high-performance computing architectures. It includes contributions from international researchers who are pioneers in designing software and applications for high-performance computing systems. The book offers a state-of-the-art overview of the latest research, tool development, and applications. It focuses on load balancing and parallelization on high-performance computers, large-scale optimization, algorithmic differentiation of numerical simulation code, sparse matrix software tools, and combinatorial challenges and applications in large-scale social networks. The authors unify these seemingly disparate areas through a common set of abstractions and algorithms based on combinatorics, graphs, and hypergraphs. Combinatorial algorithms have long played a crucial enabling role in scientific and engineering computations and their importance continues to grow with the demands of new applications and advanced architectures. By addressing current challenges in the field, this volume sets the stage for the accelerated development and deployment of fundamental enabling technologies in high-performance scientific computing."--Back cover.
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