Advertisement

Using Advanced Continuous Simulation Language (ACSL) to Simulate, Solve, and Fit Mathematical Models in Nutrition

  • Heidi A. Johnson
Chapter
  • 289 Downloads
Part of the Advances in Experimental Medicine and Biology book series (AEMB, volume 537)

Abstract

‘Advanced Continuous Simulation Language’ (ACSL; AEgis Technologies, Hunts-ville, AL) is a Fortran-based language that can be used to build, run, and evaluate biological models as well as to fit and optimize parameters. In this paper, two models will used to illustrate the functionality of ACSL: a blood/bile model presented in the MLAB User’s Guide (1997) and a rumen model developed by France et al. (1982). These two problems will be used to demonstrate building a model, defining experimental observations, simulating and solving models, and evaluating results using ACSL.

Keywords

Weighting Parameter Input Port Standardize Residual Model Diagram Output Window 
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.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. ACSL Model Reference Manual v. 11.7, 2000a, AEgis Technologies, Huntsville, AL.Google Scholar
  2. ACSL Optimize, 2000b, AEgis Technologies, Huntsville, AL.Google Scholar
  3. France, J., Thornley, J.H.M., and Beever, D.E., 1982, A mathematical model of the rumen, J. Agric. Set Camb. 99:343–353.CrossRefGoogle Scholar
  4. Steiner, E.C., Rey, T.D., and McCroskey, P.S, 1990, Simusolv: Modeling and Simulation Software, volume 2, Simusolv Reference Guide, Dow Chemical Co., Midland.Google Scholar
  5. MLAB User’s Guide, p. 316, 1997, Civilized Software, Inc., Bethesda.Google Scholar

Copyright information

© Springer Science+Business Media New York 2003

Authors and Affiliations

  • Heidi A. Johnson
    • 1
  1. 1.Department of Animal ScienceUniversity of CaliforniaDavis

Personalised recommendations