Combinatorial Scientific Computing
eBook - ePub

Combinatorial Scientific Computing

  1. 600 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Combinatorial Scientific Computing

About this book

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

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Yes, you can access Combinatorial Scientific Computing by Uwe Naumann,Olaf Schenk in PDF and/or ePUB format, as well as other popular books in Computer Science & Programming Games. We have over one million books available in our catalogue for you to explore.

Information

Publisher
CRC Press
Year
2012
eBook ISBN
9781040070390
Edition
0
Topic
Computer Science
Subtopic
Programming Games
Index
Computer Science

Table of contents

  1. Cover
  2. Half Title
  3. Chapman & Hall/CRC Computational Science Series
  4. Title Page
  5. Copyright Page
  6. Table of Contents
  7. Foreword
  8. Editors
  9. Contributors
  10. Chapter 1 Combinatorial Scientific Computing: Past Successes, Current Opportunities, Future Challenges
  11. Chapter 2 Combinatorial Problems in Solving Linear Systems
  12. Chapter 3 Combinatorial Preconditioners
  13. Chapter 4 A Scalable Hybrid Linear Solver Based on Combinatorial Algorithms
  14. Chapter 5 Combinatorial Problems in Algorithmic Differentiation
  15. Chapter 6 Combinatorial Problems in OpenAD
  16. Chapter 7 Getting Started with ADOL-C
  17. Chapter 8 Algorithmic Differentiation and Nonlinear Optimization for an Inverse Medium Problem
  18. Chapter 9 Combinatorial Aspects/Algorithms in Computational Fluid Dynamics
  19. Chapter 10 Unstructured Mesh Generation
  20. Chapter 11 3D Delaunay Mesh Generation
  21. Chapter 12 Two-Dimensional Approaches to Sparse Matrix Partitioning
  22. Chapter 13 Parallel Partitioning, Coloring, and Ordering in Scientific Computing
  23. Chapter 14 Scotch and PT-Scotch Graph Partitioning Software: An Overview
  24. Chapter 15 Massively Parallel Graph Partitioning: A Case in Human Bone Simulations
  25. Chapter 16 Algorithmic and Statistical Perspectives on Large-Scale Data Analysis
  26. Chapter 17 Computational Challenges in Emerging Combinatorial Scientific Computing Applications
  27. Chapter 18 Spectral Graph Theory
  28. Chapter 19 Algorithms for Visualizing Large Networks
  29. Index