Computes curves for the fixed mass computation of the information dimension. The output is written to a file named file_c1, containing as two columns the necessary radius and the `mass'. Although the `mass' is the independent quantity here, this is to conform with the output of c2naive and d2.
-d delay
-m minimal embedding dimension
-M maximal embedding dimension (at least 2)
-t minimal time separation
-n minimal number of center points
-# resolution, values per octave (2)
-K maximal number of neighbours (100)
-l number of values to be read (all)
-x number of values to be skipped (0)
-c column to be read (1 or file,#)
-o output file name, just -o means file_c1
-V verbosity level (0 = only fatal errors)
-h show this message
Note: You will probably use the auxiliary programs c2d or c2t to process the output further. The formula used for the Gaussian kernel correlation sum does not apply to the information dimension. See also the example below.
> henon -l10000 > data > c1 -m2 -M6 -d1 -t50 -n500 data gnuplot> set logscale x gnuplot> set yrange [0:3] gnuplot> plot '< c2d -a2 data_c1', 1.2