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© 2017

Topological Methods in Data Analysis and Visualization IV

Theory, Algorithms, and Applications

  • Hamish Carr
  • Christoph Garth
  • Tino Weinkauf

Benefits

  • Covers the full range of cutting-edge research in the sector

  • Many applications to science and engineering

  • Topic with close interaction of mathematics and computer science

Conference proceedings TopoInVis 2015

Part of the Mathematics and Visualization book series (MATHVISUAL)

Table of contents

  1. Coherent Structures

    1. Anke Friederici, Christian Rössl, Holger Theisel
      Pages 253-266
    2. Stefan Koch, Sebastian Volke, Gerik Scheuermann, Hans Hagen, Mario Hlawitschka
      Pages 267-281
    3. Kathrin Padberg-Gehle, Sebastian Reuther, Simon Praetorius, Axel Voigt
      Pages 283-297
  2. Software and Algorithms

    1. Front Matter
      Pages 299-299
    2. Peer-Timo Bremer
      Pages 301-315
    3. Nithin Shivashankar, Vijay Natarajan
      Pages 317-331
    4. Aaditya G. Landge, Peer-Timo Bremer, Attila Gyulassy, Valerio Pascucci
      Pages 333-348

About these proceedings

Introduction

This book presents contributions on topics ranging from novel applications of topological analysis for particular problems, through studies of the effectiveness of modern topological methods, algorithmic improvements on existing methods, and parallel computation of topological structures, all the way to mathematical topologies not previously applied to data analysis.

Topological methods are broadly recognized as valuable tools for analyzing the ever-increasing flood of data generated by simulation or acquisition. This is particularly the case in scientific visualization, where the data sets have long since surpassed the ability of the human mind to absorb every single byte of data.

The biannual TopoInVis workshop has supported researchers in this area for a decade, and continues to serve as a vital forum for the presentation and discussion of novel results in applications in the area, creating a platform to disseminate knowledge about such implementations throughout and beyond the community.

The present volume, resulting from the 2015 TopoInVis workshop held in Annweiler, Germany, will appeal to researchers in the fields of scientific visualization and mathematics, domain scientists with an interest in advanced visualization methods, and developers of visualization software systems.

Keywords

data analysis topology geometry visualization coherent structures

Editors and affiliations

  • Hamish Carr
    • 1
  • Christoph Garth
    • 2
  • Tino Weinkauf
    • 3
  1. 1.University of LeedsLeedsUnited Kingdom
  2. 2.Department of Computer ScienceTechnical University of KaiserslauternKaiserslauternGermany
  3. 3.School of Computer Science and CommunicationKTH Royal Institute of TechnologyStockholmSweden

Bibliographic information