The Challenge is to create faster Find methods for large unique ascending vectors.
Methods exist that are 1000 times faster than Find.
Methods have applications where data files are loaded for multiple searches(Rubik's Mini Cube, DNA).
Score: Time in msec to find 200 random values in a 12,000,000 long vector
The basic find(a==val,1,'first') takes approximately 14 seconds (12M, 200 cases).
High performance find_fast can find 200 values in 4 to 12 milli-seconds for a 12M vector.
Find time increases linearly with the array size. High performance methods don't appear to incur any increased processing time.
A static goal vector find time could be enhanced by a Pre-Index array. Not applicable to this challenge.