skip to main content
10.1145/1666778.1666804acmconferencesArticle/Chapter ViewAbstractPublication Pagessiggraph-asiaConference Proceedingsconference-collections
research-article

Chaos experience: experience of chaos theory by visualization and installation

Published:16 December 2009Publication History

ABSTRACT

There are many attractive visualization of Chaos Theory: Lorenz Attractors (Lorenz1963), Julia and Imaginary Numbers (Kimoto2007). They give us application potentiality of Chaos Theory. However they are too complex to know how attractive visualizations are caused.

Skip Supplemental Material Section

Supplemental Material

Index Terms

  1. Chaos experience: experience of chaos theory by visualization and installation

    Recommendations

    Comments

    Login options

    Check if you have access through your login credentials or your institution to get full access on this article.

    Sign in
    • Published in

      cover image ACM Conferences
      SIGGRAPH ASIA '09: ACM SIGGRAPH ASIA 2009 Posters
      December 2009
      58 pages
      ISBN:9781450379342
      DOI:10.1145/1666778

      Copyright © 2009 ACM

      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 16 December 2009

      Permissions

      Request permissions about this article.

      Request Permissions

      Check for updates

      Qualifiers

      • research-article

      Acceptance Rates

      Overall Acceptance Rate178of869submissions,20%
    • Article Metrics

      • Downloads (Last 12 months)5
      • Downloads (Last 6 weeks)0

      Other Metrics

    PDF Format

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader