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Mathematics and Visualization

Topological and Statistical Methods for Complex Data

Tackling Large-Scale, High-Dimensional, and Multivariate Data Spaces

Editors: Bennett, Janine, Vivodtzev, Fabien, Pascucci, Valerio (Eds.)

  • Latest peer-reviewed results in a growing research area
  • Many applications in science and engineering
  • Important contributions to the fields of mathematics and computer science​
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eBook $129.00
price for USA
  • ISBN 978-3-662-44900-4
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $169.00
price for USA
  • ISBN 978-3-662-44899-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $169.00
price for USA
  • Customers within the U.S. and Canada please contact Customer Service at 1-800-777-4643, Latin America please contact us at +1-212-460-1500 (Weekdays 8:30am – 5:30pm ET) to place your order.
  • ISBN 978-3-662-51370-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days. September 29, 2016
About this book

This book contains papers presented at the Workshop on the Analysis of Large-scale, High-Dimensional, and Multi-Variate Data Using Topology and Statistics, held in Le Barp, France, June 2013. It features the work of some of the most prominent and recognized leaders in the field who examine challenges as well as detail solutions to the analysis of extreme scale data.

The book presents new methods that leverage the mutual strengths of both topological and statistical techniques to support the management, analysis, and visualization of complex data. It covers both theory and application and provides readers with an overview of important key concepts and the latest research trends.

Coverage in the book includes multi-variate and/or high-dimensional analysis techniques, feature-based statistical methods, combinatorial algorithms, scalable statistics algorithms, scalar and vector field topology, and multi-scale representations. In addition, the book details algorithms that are broadly applicable and can be used by application scientists to glean insight from a wide range of complex data sets.

Table of contents (16 chapters)

  • A Distributed-Memory Algorithm for Connected Components Labeling of Simulation Data

    Harrison, Cyrus (et al.)

    Pages 3-19

  • In-Situ Visualization in Computational Fluid Dynamics Using Open-Source tools: Integration of Catalyst into Code_Saturne

    Ribés, Alejandro (et al.)

    Pages 21-37

  • Sublinear Algorithms for Extreme-Scale Data Analysis

    Seshadhri, C. (et al.)

    Pages 39-54

  • Optimal General Simplification of Scalar Fields on Surfaces

    Tierny, Julien (et al.)

    Pages 57-71

  • Piecewise Polynomial Monotonic Interpolation of 2D Gridded Data

    Allemand-Giorgis, Léo (et al.)

    Pages 73-91

Buy this book

eBook $129.00
price for USA
  • ISBN 978-3-662-44900-4
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $169.00
price for USA
  • ISBN 978-3-662-44899-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $169.00
price for USA
  • Customers within the U.S. and Canada please contact Customer Service at 1-800-777-4643, Latin America please contact us at +1-212-460-1500 (Weekdays 8:30am – 5:30pm ET) to place your order.
  • ISBN 978-3-662-51370-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days. September 29, 2016
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Bibliographic Information

Bibliographic Information
Book Title
Topological and Statistical Methods for Complex Data
Book Subtitle
Tackling Large-Scale, High-Dimensional, and Multivariate Data Spaces
Editors
  • Janine Bennett
  • Fabien Vivodtzev
  • Valerio Pascucci
Series Title
Mathematics and Visualization
Copyright
2015
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-662-44900-4
DOI
10.1007/978-3-662-44900-4
Hardcover ISBN
978-3-662-44899-1
Softcover ISBN
978-3-662-51370-5
Series ISSN
1612-3786
Edition Number
1
Number of Pages
XV, 297
Number of Illustrations and Tables
19 b/w illustrations, 101 illustrations in colour
Topics