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Distributed Model Solution Techniques for Capillary-Tissue Systems

  • Daniel H. Hunt
  • Duane F. Bruley
  • Haim I. Bicher
  • Melvin H. Knisely
Part of the Advances in Experimental Medicine and Biology book series (AEMB, volume 191)

Abstract

I’d like to begin with the remark that distributed parameter models are so-called “tigers-by-the-tail” as several people in the audience would testify, but if one can tame it, or at least hang on, the results are usually worth the effort. In effect, one is trying to come as close to reality as possible with such a model.

Keywords

Monte Carlo Method Mesh Point Nonlinear Coefficient Distribute Parameter Model Hybrid Computer 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Halberg, M., D. F. Bruley and M. H. Knisely. Simulation 15, no. 5, 206 (1970).CrossRefGoogle Scholar
  2. 2.
    Hunt, D. H., Ph.D. Dissertation, Clemson University, Clemson, South Carolina (1971).Google Scholar
  3. 3.
    McCracken, T. A., D. F. Bruley, D. D. Reneau, H. I. Bicher and M. H. Knisely. Proceedings of First Pacific Chemical Engineering Congress, Kyoto, Japan, p. 137 (1972).Google Scholar
  4. 4.
    Reneau, D. D., D. F. Bruley and M. H. Knisely, Chemical Engineering in Medicine and Biology, p. 135, Plenum Press (1967).Google Scholar

Copyright information

© Plenum Press, New York 1973

Authors and Affiliations

  • Daniel H. Hunt
    • 1
  • Duane F. Bruley
    • 1
  • Haim I. Bicher
    • 2
  • Melvin H. Knisely
    • 2
  1. 1.Department of Chemical EngineeringClemson UniversityClemsonUSA
  2. 2.Department of AnatomyMedical University of South CarolinaCharlestonUSA

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