	* HOW DOES IT WORK?

   try after compiling "letseq1" (say "make" at the top level) the
following:

   example% letseq1 <ab-bb.cm1

The results will be logged to a files called "aa-bb.lg1"; from this file
some statistics can be summarised using the appropriate "data analysis tool"
from the "~cfsc/tools" folder.

   example% 

	* OTHER RESULTS?

   some files in this directory contain a "286" string in their name,
this means they contain results produced using a PC with an 80286i
processor (aka AT).

	* WHAT'S THIS FILE "ab-bb.r"?

   It also contains "r"esults from a previous test run by Riolo; and
was prduced with the following commands:

   example% ../tools/getperf ab-bb.lg1 g


Extracting CFS-C data from from the file ab-bb.lg1 ...


LETSEQ Performance (total and recent counts)

 Step | TotGsL,dif | TotGsT,dif | TotGsW,dif | 
------|------------|------------|------------|--------------|-----------
    1 |     0    0 |     0    0 |     0    0 |    0.0   0.0 |     0    0
   50 |    29   29 |     0    0 |    21   21 |   58.0  59.2 |     0    0
  100 |    53   24 |     0    0 |    47   26 |   53.0  48.0 |     0    0
  150 |    83   30 |     0    0 |    67   20 |   55.3  60.0 |     0    0
  200 |   110   27 |     0    0 |    90   23 |   55.0  54.0 |     0    0
  250 |   139   29 |     0    0 |   111   21 |   55.6  58.0 |     0    0
  300 |   171   32 |     0    0 |   129   18 |   57.0  64.0 |     0    0
  350 |   201   30 |     0    0 |   149   20 |   57.4  60.0 |     0    0
------|------------|------------|------------|--------------|-----------
  400 |   234   33 |     0    0 |   166   17 |   58.5  66.0 |     0    0
  450 |   271   37 |     0    0 |   179   13 |   60.2  74.0 |     0    0
  500 |   308   37 |     0    0 |   192   13 |   61.6  74.0 |     0    0
  550 |   337   29 |     0    0 |   213   21 |   61.3  58.0 |     0    0
  600 |   369   32 |     0    0 |   231   18 |   61.5  64.0 |     0    0
  650 |   406   37 |     0    0 |   244   13 |   62.5  74.0 |     0    0
  700 |   440   34 |     0    0 |   260   16 |   62.9  68.0 |     0    0
  750 |   477   37 |     0    0 |   273   13 |   63.6  74.0 |     0    0
  800 |   514   37 |     0    0 |   286   13 |   64.2  74.0 |     0    0
  850 |   548   34 |     0    0 |   302   16 |   64.5  68.0 |     0    0
------|------------|------------|------------|--------------|-----------
  900 |   577   29 |     0    0 |   323   21 |   64.1  58.0 |     0    0
  950 |   612   35 |     0    0 |   338   15 |   64.4  70.0 |     0    0
 1000 |   641   29 |     0    0 |   359   21 |   64.1  58.0 |     0    0

Overall performance rate:   64.1
Steps to 10, 20%  performance:    50,  50
Steps to 30, 40%  performance:    50,  50
Steps to 50, 60%  performance:    50, 150
Steps to 70, 80%  performance:   450, ---
Steps to 90,100%  performance:   ---, ---
Mean Perf. in Equilibrium:    67.0	   (starting at step 750)
SD of Mean Equil Perf:	    5.00
High Perf. in Equil (Step):   74.0 (750)
Low  Perf. in Equil (Step):   58.0 (1000)

