• Documents
  • Authors
  • Tables
  • Log in
  • Sign up
  • MetaCart
  • DMCA
  • Donate

CiteSeerX logo

Advanced Search Include Citations
Advanced Search Include Citations | Disambiguate

DMCA

Efficient Morse Decompositions of Vector Fields

Cached

  • Download as a PDF

Download Links

  • [eecs.oregonstate.edu]
  • [ir.library.oregonstate.edu]
  • [web.engr.orst.edu]
  • [web.engr.oregonstate.edu]
  • [web.engr.oregonstate.edu]
  • [www.sci.utah.edu]
  • [web.engr.orst.edu]
  • [cs.swansea.ac.uk]
  • [cs.swan.ac.uk]
  • [www.sci.utah.edu]

  • Other Repositories/Bibliography

  • DBLP
  • Save to List
  • Add to Collection
  • Correct Errors
  • Monitor Changes
by Guoning Chen , Konstantin Mischaikow , Robert S. Laramee , Eugene Zhang
Citations:34 - 20 self
  • Summary
  • Citations
  • Active Bibliography
  • Co-citation
  • Clustered Documents
  • Version History

BibTeX

@MISC{Chen_efficientmorse,
    author = {Guoning Chen and Konstantin Mischaikow and Robert S. Laramee and Eugene Zhang},
    title = {Efficient Morse Decompositions of Vector Fields},
    year = {}
}

Share

Facebook Twitter Reddit Bibsonomy

OpenURL

 

Abstract

Abstract — Existing topology-based vector field analysis techniques rely on the ability to extract the individual trajectories such as fixed points, periodic orbits and separatrices which are sensitive to noise and errors introduced by simulation and interpolation. This can make such vector field analysis unsuitable for rigorous interpretations. We advocate the use of Morse decompositions, which are robust with respect to perturbations, to encode the topological structures of a vector field in the form of a directed graph, called a Morse connection graph (MCG). While an MCG exists for every vector field, it need not be unique. Previous techniques for computing MCG’s, while fast, are overly conservative and usually results in MCG’s that are too coarse to be useful for the applications. To address this issue, we present a new technique for performing Morse decomposition based on the concept of τ-maps, which typically provides finer MCG’s than existing techniques. Furthermore, the choice of τ provides a natural tradeoff between the fineness of the MCG’s and the computational costs. We provide efficient implementations of Morse decomposition based on τ-maps, which include the use of forward and backward mapping techniques and an adaptive approach in constructing better approximations of the images of the triangles in the meshes used for simulation.Furthermore, we propose the use of spatial τ-maps in addition to the original temporal τ-maps. These techniques provide additional tradeoffs between the quality of the MCG’s and the speed of computation. We demonstrate the utility of our technique with various examples in plane and on surfaces including engine simulation datasets. Index Terms — Vector field topology, Morse decomposition, τmaps, Morse connection graph, flow combinatorialization.

Keyphrases

vector field    morse decomposition    efficient morse decomposition    morse connection graph    efficient implementation    directed graph    adaptive approach    finer mcg    topological structure    spatial map    natural tradeoff    mcg exists    backward mapping technique    previous technique    periodic orbit    index term vector field topology    various example    additional tradeoff    new technique    topology-based vector field analysis technique    engine simulation datasets    vector field analysis    rigorous interpretation    computational cost    original temporal map    flow combinatorialization    individual trajectory    fixed point   

Powered by: Apache Solr
  • About CiteSeerX
  • Submit and Index Documents
  • Privacy Policy
  • Help
  • Data
  • Source
  • Contact Us

Developed at and hosted by The College of Information Sciences and Technology

© 2007-2019 The Pennsylvania State University