Reliable Computing

, Volume 9, Issue 6, pp 407–418

Dependable Handling of Uncertainty

  • Daniel Berleant
  • Mei-Peng Cheong
  • Chris Chu
  • Yong Guan
  • Ahmed Kamal
  • Gerald Shedblé
  • Scott Ferson
  • James F. Peters
Article

DOI: 10.1023/A:1025888503247

Cite this article as:
Berleant, D., Cheong, MP., Chu, C. et al. Reliable Computing (2003) 9: 407. doi:10.1023/A:1025888503247

Abstract

Uncertainty quantification is an important approach to modeling in the presence of limited information about uncertain quantities. As a result recent years have witnessed a burgeoning body of work in this field. The present paper gives some background, highlights some recent work, and presents some problems and challenges.

Copyright information

© Kluwer Academic Publishers 2003

Authors and Affiliations

  • Daniel Berleant
    • 1
  • Mei-Peng Cheong
    • 1
  • Chris Chu
    • 1
  • Yong Guan
    • 1
  • Ahmed Kamal
    • 1
  • Gerald Shedblé
    • 1
  • Scott Ferson
    • 2
  • James F. Peters
    • 3
  1. 1.Department of Electrical and Computer EngineeringIowa State UniversityAmesUSA
  2. 2.Applied BiomathematicsSetauketUSA
  3. 3.Department of Electrical and Computer EngineeringUniversity of ManitobaWinnipegCanada

Personalised recommendations