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ABSTRACT
It is currently far from uncommon for researchers to be confronted with the problem of sorting large files of data, e.g., 20,000 items or keys. One sorting procedure, known as address calculation sorting, is a two stage process in which an address calculation function is constructed by a preliminary examination of the keys. This function is used to insert each key into a location, hopefully near its position in the final sorted file. This process has been referred to as “rough focusing.” In the second phase the tentatively inserted key is compared to its neighbors to assure that it has been inserted correctly in relation to previously processed keys. This is referred to as “fine focusing.” It is currently far from uncommon for researchers to be confronted with the problem of sorting large files of data, e.g., 20,000 items or keys. One sorting procedure, known as address calculation sorting, is a two stage process in which an address calculation function is constructed by a preliminary examination of the keys. This function is used to insert each key into a location, hopefully near its position in the final sorted file. This process has been referred to as “rough focusing.” In the second phase the tentatively inserted key is compared to its neighbors to assure that it has been inserted correctly in relation to previously processed keys. This is referred to as “fine focusing.”
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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N I AKHIEZER Theory, of approximation Ungar New York 1956
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B. F. Cheydleur , R. Kronmal , M. Tarter, Analysis of computational systems: Cumulative polygon address calculation sorting, Proceedings of the 1965 20th national conference, p.376-385, August 24-26, 1965, Cleveland, Ohio, United States
[doi> 10.1145/800197.806060]
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R A KRONMAL M E TARTER Address calculation sorting with minimal storage requirement Submitted for publication to the J ACM
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