support numerical experiments with dynamic models. T h e first line contains the list of model variables of interest. The second calls the main function of the package. This function collects the values of enlisted variables into a time series. It also outputs t h e m in spreadsheet fashion and provides breaks at given steps. T h e code is written so that you m a y assign a vector value to each one of the most important parameters of the model. The program then gives you a n u m b e r of trajectories corresponding to different values of the parameter. For example, you can see in the pictures the results of runs for two values of taxation. The package G R A N D automatically collects vector variables into the appropriate matrix time series. T h e dimensional independence of A P L programs is a well-known feature of the language. I stress this feature as valuable for modelling_ T h e results of the experiment are presented in the picture. The plots were drawn, m a r k e d and inscribed during the interruption of experiment with the help of G R
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Dyalog APL/W
Bowman, Dick
Follow ACM SIGAPL APL Quote Quad
, Volume 23 (2)
Association for Computing Machinery – Dec 1, 1992
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