MCMFIT: Efficient optimal fitting of a generalised nonlinear advection-dispersion model to experimental data

The use of standard numerical schemes to solve nonlinear advective-dispersive equations for the estimation of parameters is CPU-time consuming and hence not desirable for routine use. An efficient scheme using a novel mixing cell approach has been used to estimate parameter values by nonlinear least-squares fitting for nonlinear adsorption of a single solute species coupled with one- dimensional transport. A problem with gradient methods of nonlinear least-squares fitting is that they are prone to determine best-fit parameters corresponding to local minima rather than the global minimum. As is well known, this problem can be avoided by judicious selection of the


Published in:
Computers and Geosciences, 21, 1, 61-76
Year:
1995
Keywords:
Laboratories:


Note: The status of this file is: Involved Laboratories Only


 Record created 2005-12-09, last modified 2018-03-17

n/a:
Download fulltextPDF
External link:
Download fulltextURL
Rate this document:

Rate this document:
1
2
3
 
(Not yet reviewed)