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Combinatorial scientific computing /

"Foreword the ongoing era of high-performance computing is filled with enormous potential for scientific simulation, but also with daunting challenges. Architectures for high-performance computing may have thousands of processors and complex memory hierarchies paired with a relatively poor inte...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Naumann, Uwe, 1969-, Schenk, Olaf, 1967-
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Boca Raton : CRC Press, 2012.
Colección:Chapman & Hall/CRC computational science series.
Temas:
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Tabla de Contenidos:
  • Combinatorial scientific computing : past success, current opportunities, future challenges / Bruce Hendrickson, Alex Pothen
  • Combinatorial problems in solving linear systems / Iain Duff, Bora Uc̜ar
  • Combinatorial preconditioners / Sivan Toledo, Haim Avron
  • A scalable hybrid linear solver based on combinatorial algorithms / Madan Sathe [and others]
  • Combinatorial problems in algorithmic differentiation / Uwe Naumann, Andrea Walther
  • Combinatorial problems in OpenAD / Jean Utke, Uwe Naumann
  • Getting started with ADOL-C / Andrea Walther, Andreas Griewank
  • Algorithmic differentiation and nonlinear optimization for an inverse medium problem / Johannes Huber [and others]
  • Combinatorial aspects/algorithms in computational fluid dynamics / Rainald Löhner
  • Unstructured mesh generation / Jonathan Richard Shewchuk
  • 3D Delaunay mesh generation / Klaus Gärtner [and others]
  • Two-dimensional approaches to sparse matrix partitioning / Rob H. Bisseling [and others]
  • Parallel partitioning, coloring, and ordering in scientific computing / E.G. Boman [and others]
  • Scotch and PT-scotch graph partitioning software : an overview / Franc̜ois Pellegrini
  • Massively parallel graph partitioning : a case in human bone simulations / C. Bekas [and others]
  • Algorithmic and statistical perspectives on large-scale data analysis / Michael W. Mahoney
  • Computational challenges in emerging combinatorial scientific computing applications / David A. Bader, Kamesh Madduri
  • - Spectral graph theory / Daniel Spielman
  • Algorithms for visualizing large networks / Yifan Hu.