Visualization corner: Robust topology-based multiscale analysis of scientific data

Attila Gyulassy, Luis Gustavo Nonato, Peer Timo Bremer, Claudio Silva, Valerio Pascucci

Research output: Contribution to journalArticle

Abstract

During multiscale analysis, hierarchical function decompositions and error-driven simplifications can't guarantee precise control of topological features. Topology-based multiscale analysis has emerged as an alternative to help researchers understand complex scientific data.

Original languageEnglish (US)
Article number5228721
Pages (from-to)88-94
Number of pages7
JournalComputing in Science and Engineering
Volume11
Issue number5
DOIs
StatePublished - Sep 2009

Fingerprint

Visualization
Topology
Decomposition

ASJC Scopus subject areas

  • Computer Science(all)
  • Engineering(all)

Cite this

Visualization corner : Robust topology-based multiscale analysis of scientific data. / Gyulassy, Attila; Nonato, Luis Gustavo; Bremer, Peer Timo; Silva, Claudio; Pascucci, Valerio.

In: Computing in Science and Engineering, Vol. 11, No. 5, 5228721, 09.2009, p. 88-94.

Research output: Contribution to journalArticle

Gyulassy, Attila ; Nonato, Luis Gustavo ; Bremer, Peer Timo ; Silva, Claudio ; Pascucci, Valerio. / Visualization corner : Robust topology-based multiscale analysis of scientific data. In: Computing in Science and Engineering. 2009 ; Vol. 11, No. 5. pp. 88-94.
@article{4f745296df2d4b13ab9403fb9e994b7c,
title = "Visualization corner: Robust topology-based multiscale analysis of scientific data",
abstract = "During multiscale analysis, hierarchical function decompositions and error-driven simplifications can't guarantee precise control of topological features. Topology-based multiscale analysis has emerged as an alternative to help researchers understand complex scientific data.",
author = "Attila Gyulassy and Nonato, {Luis Gustavo} and Bremer, {Peer Timo} and Claudio Silva and Valerio Pascucci",
year = "2009",
month = "9",
doi = "10.1109/MCSE.2009.152",
language = "English (US)",
volume = "11",
pages = "88--94",
journal = "Computing in Science and Engineering",
issn = "1521-9615",
publisher = "IEEE Computer Society",
number = "5",

}

TY - JOUR

T1 - Visualization corner

T2 - Robust topology-based multiscale analysis of scientific data

AU - Gyulassy, Attila

AU - Nonato, Luis Gustavo

AU - Bremer, Peer Timo

AU - Silva, Claudio

AU - Pascucci, Valerio

PY - 2009/9

Y1 - 2009/9

N2 - During multiscale analysis, hierarchical function decompositions and error-driven simplifications can't guarantee precise control of topological features. Topology-based multiscale analysis has emerged as an alternative to help researchers understand complex scientific data.

AB - During multiscale analysis, hierarchical function decompositions and error-driven simplifications can't guarantee precise control of topological features. Topology-based multiscale analysis has emerged as an alternative to help researchers understand complex scientific data.

UR - http://www.scopus.com/inward/record.url?scp=70349218320&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=70349218320&partnerID=8YFLogxK

U2 - 10.1109/MCSE.2009.152

DO - 10.1109/MCSE.2009.152

M3 - Article

AN - SCOPUS:70349218320

VL - 11

SP - 88

EP - 94

JO - Computing in Science and Engineering

JF - Computing in Science and Engineering

SN - 1521-9615

IS - 5

M1 - 5228721

ER -