Fastest method for comparing overlapping times in random time series
- To: mathgroup at smc.vnet.net
- Subject: [mg64935] Fastest method for comparing overlapping times in random time series
- From: "Prince-Wright, Robert G SEPCO" <robert.prince-wright at shell.com>
- Date: Wed, 8 Mar 2006 00:59:53 -0500 (EST)
- Sender: owner-wri-mathgroup at wolfram.com
I have two lists, list1{ {t1,t1+dt1}, {t2,t2+dt2},..{ti,ti+dti}}, and
list2, each representing 'time(i)' and corresponding 'time(i) +
deltatime(i)'. The time(i) values are determined by an exponential
inter-arrival time model, and the durations are a scaled uniform random
variable. Both lists are ordered on time(i). You can think of list 1 as
representing periods when System 1 is not working, and list 2 as the
periods when System 2 is not working. Example lists are given as Cell
Expressions below together with code to convert to a ticker-tape Plot
(you may need to stretch the graphic to see clearly). The challenge is
to develop a fast method for determining the periods when both Systems
are not working, i.e. to create a list corresponding to the start and
finish times of the overlaps.
Thus far I have only managed to use a Do loop which is very slow for long lists!
Bob
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Robert Prince-Wright
Risk Management Engineer, EP Americas
Shell Exploration & Production Company
Woodcreek, 200 North Dairy Ashford
Houston, TX 77079, USA
Tel: +1 281 544 3016
Fax: +1 281 544 2238
Shell MeetMe Tel. +1 713 423 0600, Participant Code 62709127
Email: robert.prince-wright at shell.com
Internet: http://www.shell.com
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