Non-Fiction Books:

Space-Filling Curves

An Introduction with Applications in Scientific Computing
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Paperback / softback
$241.99
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Description

­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.

Author Biography:

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.
Release date Australia
August 23rd, 2016
Author
Audience
  • Professional & Vocational
Edition
Softcover reprint of the original 1st ed. 2013
Illustrations
XIII, 285 p.
Pages
285
Dimensions
156x234x16
ISBN-13
9783662522363
Product ID
25507522

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