Igor Tandetnik,

>>> So what is the purpose of this whole exercise

Following the project gurus's example sequence of -- 1,2,3,4,3,5,6,7,8,10
-- the numeric sorted ascending subsequence is found to be
1,2,3,4,5,6,7,8,10 using an automatic variable containing the most recent
monotically increasing sequence member value and traversing the array
sequentially in Big-O(linear time). As a result, the length of the sorted
numeric ascending subsequence is 9. The length of the entire sequence is
10. So, the sortation percentage is (9/10) * 100% = 90%.
   The dynamic programming longest increasing subsequence program from
Wikipedia, takes Big-0(n * log (n)) time. Thank you for your help.
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