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A probabilistic distributed algorithm for set intersection and its analysis

✍ Scribed by Thomas G. Kurtz; Udi Manber

Publisher
Elsevier Science
Year
1987
Tongue
English
Weight
850 KB
Volume
49
Category
Article
ISSN
0304-3975

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## Abstract We describe the Dynamic Distributable Decorrelation Algorithm (DDDA) which efficiently calculates the true statistical error of an expectation value obtained from serially correlated data β€œon‐the‐fly,” as the calculation progresses. DDDA is an improvement on the Flyvbjerg‐Petersen renor