In Stock
Space-filling curves
Hardback
€95.99
Collect 287 Reward Points
- Free Delivery from
- This Book Is Available Online Only
- Book Synopsis
- -The present book provides an introduction to using space-filling curves (SFC) as tools in scientific computing. Special focus is laid on the representation of SFC and on resulting algorithms. For example, grammar-based techniques are introduced for traversals of Cartesian and octree-type meshes, and arithmetisation of SFC is explained to compute SFC mappings and indexings.-The locality properties of SFC are discussed in detail, together with their importance for algorithms. Templates for parallelisation and cache-efficient algorithms are presented to reflect the most important applications of SFC in scientific computing. Special attention is also given to the interplay of adaptive mesh refinement and SFC, including the structured refinement of triangular and tetrahedral grids. For each topic, a short overview is given on the most important publications and recent research activities.
- About The Author
- Michael Bader is professor for computer science at Technische Universität München, where he leads a research group on hardware-aware algorithms and software for high performance computing (located at the Leibniz Supercomputing Centre). His focus in research and teaching is on algorithmic challenges imposed by modern computing platforms. A large part of his work is dedicated to exploiting locality properties of space-filling curves for simulation tasks in science and engineering.
- Product Details
-
- ISBN
- 9783642310454
- Format
- Hardback
- Publisher
- Springer, (14 October 2012)
- Number of Pages
- 278
- Weight
- 592 grams
- Language
- English
- Dimensions
- 235 x 155 x 21 mm
- Series:
- See all books in this series
- Categories: