Solution to Exercise 1.24:

We need to modify `start-prime-test`

to use `fast-prime?`

. Here are my modifications:

`(define (start-prime-test i n start-time)`

(if **(fast-prime? n 10)**

(if (= i 0)

(report-prime

(time-difference

(current-time time-process)

start-time))

(start-prime-test (- i 1) n start-time))))

The inevitable problem when switching to `fast-prime?`

is deciding what value to use for `times`

. I’ve somewhat arbitrarily decided to use a constant value of 10 for now, which gives the following output:

`Welcome to DrScheme, version 209.`

Language: Textual (MzScheme, includes R5RS).

```
```1009 *** 0s 2190000ns

1013 *** 0s 2340000ns

1019 *** 0s 7650000ns

(# # #)

10007 *** 0s 2810000ns

10009 *** 0s 2820000ns

10037 *** 0s 2810000ns

(# # #)

100003 *** 0s 5940000ns

100019 *** 0s 5470000ns

100043 *** 0s 5780000ns

(# # #)

`1000003 *** 0s 6410000ns`

1000033 *** 0s 3600000ns

1000037 *** 0s 3750000ns

(# # #)

As *log*1000=3 and *log*1000000=6, we should expect the processing times for the primes near 1000000 to be twice that of the primes near 1000.

The average time for the primes near 1000000 is 4586667ns. For those near 1000, 4060000.

These are very close; definitely not the factor of two we expected. What’s going on?

Luckily DrScheme has a built in profiler. Perhaps it can shed some light on what’s going on.

Here is the breakdown of time spent in each procedure for the values near 1000 (in milliseconds).

FunctionNumber |
1009 |
1013 |
1019 |
Average |

start-prime-test |
672 |
766 |
797 |
745 |

fast-prime? |
641 |
751 |
749 |
713.67 |

try-it |
563 |
719 |
608 |
630 |

expmod |
516 |
687 |
593 |
598.67 |

square |
78 |
187 |
109 |
124.67 |

fermat-test |
0 |
0 |
32 |
10.67 |

report-prime |
0 |
0 |
0 |
0 |

timed-prime-test |
0 |
0 |
0 |
0 |

And here are the numbers for the values near 1000000.

FunctionNumber |
1000003 |
1000033 |
1000037 |
Average |

start-prime-test |
1546 |
1578 |
1719 |
1614.33 |

fast-prime? |
1530 |
1562 |
1704 |
1598.67 |

try-it |
1499 |
1436 |
1580 |
1505 |

expmod |
1483 |
1420 |
1533 |
1478.67 |

square |
284 |
392 |
235 |
303.67 |

fermat-test |
15 |
32 |
15 |
20.67 |

report-prime |
0 |
0 |
0 |
0 |

timed-prime-test |
0 |
0 |
0 |
0 |

Comparing the results:

Function |
Ratio |
Deviation from expectations |

start-prime-test |
2.17 |
8% |

fast-prime? |
2.24 |
12% |

try-it |
2.39 |
19% |

expmod |
2.47 |
23% |

square |
2.44 |
22% |

fermat-test |
1.94 |
-3% |

As you can see, the measurements aquired by the profiler match our expectations quite closely.

Lesson of the day: DrScheme’s profiler give much more accurate measurements than its implementation of SRFI 19.