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Mathematics - Computational Science & Engineering | Space-Filling Curves - An Introduction with Applications in Scientific Computing

Space-Filling Curves

An Introduction with Applications in Scientific Computing

Bader, Michael

2013, XIII, 278 p. 357 illus., 323 illus. in color.

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  • Connects the different techniques to describe space-filling curves to corresponding algorithms
  • Connects space-filling curves and respective orders to regular and adaptive meshes for discretisation
  • Describes parallelisation and cache-efficient algorithms based on space-filling curves
  • Provides a section on references to both pioneering and current research on space-filling curves in scientific computing​

­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.

Content Level » Upper undergraduate

Keywords » Hilbert curve, Peano curve, Sierpinski curve - adaptive meshes - algorithms in scientific computing - octrees - parallelisation - space-filling curves

Related subjects » Applications - Computational Science & Engineering - Theoretical Computer Science

Table of contents / Sample pages 

Two Motivating Examples.- How to Construct Space-Filling Curves.- Grammar-Based Description of Space-Filling Curves.- Arithmetic Representation of Space-Filling Curves.- Approximating Polygons.- Sierpinski Curves.- Further Space-Filling Curves.- Space-Filling Curves in 3D.- Refinement Trees and Space-Filling Curves.- Parallelisation with Space-Filling Curves.- Locality Properties of Space-Filling Curves.- Sierpinski Curves on Triangular and Tetrahedral Meshes.- Case Study: Cache Efficient Algorithms for Matrix Operations.- Case Study: Numerical Simulation on Spacetree Grids Using Space-Filling Curves.- Further Applications of Space-Filling Curves.- Solutions to Selected Exercises.- References.- Index  ​

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