EconPapers    
Economics at your fingertips  
 

Bin Packing Approximation Algorithms: Combinatorial Analysis

Edward G. Coffman (), Gabor Galambos (), Silvano Martello () and Daniele Vigo ()
Additional contact information
Edward G. Coffman: Lucent Technologies, Bell Labs
Gabor Galambos: Teacher’s Training College, Computer Science Department
Silvano Martello: University of Bologna, DEIS
Daniele Vigo: University of Bologna, DEIS

A chapter in Handbook of Combinatorial Optimization, 1999, pp 151-207 from Springer

Abstract: Abstract In the classical version of the bin packing problem one is given a list L = (a 1,...,a n ) of items (or elements) and an infinite supply of bins with capacity C. A function s(a i ) gives the size of item a i , and satisfies 0

Keywords: Online Algorithm; Item Size; Longe Processing Time; Current Item; Closing Rule (search for similar items in EconPapers)
Date: 1999
References: Add references at CitEc
Citations: View citations in EconPapers (1)

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-1-4757-3023-4_3

Ordering information: This item can be ordered from
http://www.springer.com/9781475730234

DOI: 10.1007/978-1-4757-3023-4_3

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2026-06-01
Handle: RePEc:spr:sprchp:978-1-4757-3023-4_3