Please note: In order to keep Hive up to date and provide users with the best features, we are no longer able to fully support Internet Explorer. The site is still available to you, however some sections of the site may appear broken. We would encourage you to move to a more modern browser like Firefox, Edge or Chrome in order to experience the site fully.

Linear and Integer Programming vs Linear Integration and Counting : A Duality Viewpoint, Paperback / softback Book

Linear and Integer Programming vs Linear Integration and Counting : A Duality Viewpoint Paperback / softback

Part of the Springer Series in Operations Research and Financial Engineering series

Paperback / softback

Description

Integer programming (IP) is a fascinating topic. Indeed, while linear programming (LP), its c- tinuous analogue, is well understood and extremely ef?cient LP software packages exist, solving an integer program can remain a formidable challenge, even for some small size problems.

For instance, the following small (5-variable) IP problem (called the unbounded knapsack problem) min{213x?1928x?11111x?2345x +9123x} 1 2 3 4 5 s.t. 12223x +12224x +36674x +61119x +85569x = 89643482, 1 2 3 4 5 x ,x ,x ,x ,x?N, 1 2 3 4 5 taken from a list of dif?cult knapsack problems in Aardal and Lenstra [2], is not solved even by hours of computing, using for instance the last version of the ef?cient software package CPLEX.

However,thisisnotabookonintegerprogramming,asverygoodonesonthistopicalreadyexist.

For standard references on the theory and practice of integer programming, the interested reader is referred to, e.g., Nemhauser and Wolsey [113], Schrijver [121], Wolsey [136], and the more recent Bertsimas and Weismantel [21].

On the other hand, this book could provide a complement to the above books as it develops a rather unusual viewpoint.

Information

Other Formats

Save 18%

£96.50

£78.95

Item not Available
 
Free Home Delivery

on all orders

 
Pick up orders

from local bookshops

Information

Also in the Springer Series in Operations Research and Financial Engineering series  |  View all