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Every n pages; By bookmark level; By size, where the generated files will roughly have the specified size; Rotate PDF files where multiple files can be rotated, either every page or a selected set of pages (i.e. Mb). Extract pages from multiple PDF files; Mix PDF files where a number of PDF files are merged, taking pages alternately from them
If you sign up for Dollar General's email list, or update your profile, they'll send the first 20,000 people a coupon organizer from Kraft. Of course, that won't.
With this in mind the author of ORG-link has further developed and released ORG-Link_V2 an Organiser II Comms Link Server that works in all Windows versions 32 and 64 bit. In the winter of 2013, Jaap created his web site [8] with the aim "to be an archive of Psion Organiser II information and software that might otherwise be abandoned and lost ...
Believed to be the first coupon ever, this ticket for a free glass of Coca-Cola was first distributed in 1888 to help promote the drink. By 1913, the company had redeemed 8.5 million tickets. [6] Coca-Cola's 1888-issued "free glass of" is the earliest documented coupon. [6] [7] Coupons were mailed to potential customers and placed in magazines ...
In finance, a coupon is the interest payment received by a bondholder from the date of issuance until the date of maturity of a bond. [1] Coupons are normally described in terms of the "coupon rate", which is calculated by adding the sum of coupons paid per year and dividing it by the bond's face value. [2]
Lotus Organizer is a discontinued personal information manager (PIM). It was initially developed by Threadz, a small British software house, reaching version 3.0. Organizer was subsequently acquired by Lotus Development Corporation , for whom the package was a Windows -based replacement for Lotus Agenda .
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An alternative statement is: given n coupons, how many coupons do you expect you need to draw with replacement before having drawn each coupon at least once? The mathematical analysis of the problem reveals that the expected number of trials needed grows as Θ ( n log ( n ) ) {\displaystyle \Theta (n\log(n))} .