PARID is designed to solve nonlinear optimization problems for determining
multidimensional parameters from measured or simulated data. These problems are characterized by a mathematical model J, which depends on parameters x and known quantities t, and the task, called multiparameterfitting, is to determine the unknowns x in such a way that the computed model J(t,x) fits in an optimal way the measured (or simulated) data g. Use PARID to study the influence of parameters without performing experiments  or use it to develop appropriate models. PARID provides the following features:
 Rapid model implementation A Microsoft Visual C++ or Borland C++ compiler has to be installed on your computer to generate your own model implementation. Parid is free for eduacational purposes THIS VERSION IS BETA; feel free to send comments and questions to doerr@iscalouis.com
Download PARID 0.4 beta Win 95/98/NT Version
