Title
An algorithm for a separable integer programming problem with cumulatively bounded variables
Abstract
An algorithm is presented for obtaining the optimal solution of an integer programming problem in which the nested constraints represent the cumulative bounding of the variables and the objective function is a sum of concave functions of one variables. The algorithm requires O( m log( m )log 2 ( b m / m )) time, where m is the number of variables and b m is an upper bound on the sum of the m variables, b m ⩾ m ⩾1. It is also demonstrated that a special case of identical concave functions is solvable in O( m ). Both results significantly improve the previous bounds for these problems.
Year
DOI
Venue
1987
10.1016/0166-218X(87)90070-9
Discrete Applied Mathematics
Keywords
Field
DocType
bounded variable,separable integer programming problem,cumulant
Discrete mathematics,Combinatorics,Upper and lower bounds,Separable space,Concave function,Algorithm,Integer programming,Mathematics,Special case,Bounding overwatch,Bounded function
Journal
Volume
Issue
ISSN
16
2
Discrete Applied Mathematics
Citations 
PageRank 
References 
2
0.49
2
Authors
1
Name
Order
Citations
PageRank
M Dyer120.49