Published 1996 | Version v1
Book Metadata-only

Data collection for the Sloan Digital Sky Survey - A network-flow heuristic

Creators

  • 1. Princeton Univ., NJ (United States)
  • 2. Dartmouth College, Hanover, NH (United States)

Description

This note describes a combinatorial optimization problem arising in the Sloan Digital Sky Survey and an effective heuristic for the problem that has been implemented and will be used in the Survey. The heuristic is based on network flow theory

Additional details

Publishing Information

Publisher
Association for Computing Machinery.
Imprint Place
New York, NY (United States)
Imprint Title
Proceedings of the seventh annual ACM-SIAM symposium on discrete algorithms
Imprint Pagination
596 p.
Journal Page Range
p. 296-303.

Conference

Title
7. annual ACM-SIAM symposium on discrete algorithms.
Dates
28-30 Jan 1996.
Place
Atlanta, GA (United States).

INIS

Country of Publication
United States
Country of Input or Organization
United States
INIS RN
28024148
Subject category
S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS; S99: GENERAL AND MISCELLANEOUS;
Resource subtype / Literary indicator
Conference
Descriptors DEI
ALGORITHMS; ASTRONOMY; DATA PROCESSING; GALAXIES; MONITORING; NETWORK ANALYSIS; NIGHT SKY

Optional Information

Secondary number(s)
CONF-960121--.