A data parallel augmenting path algorithm for the dense linear many-to-one assignment problem

Autor: Sverre Storøy, Olof Damberg, Tor Sørevik
Rok vydání: 1996
Předmět:
Zdroj: Computational Optimization and Applications. 6:251-272
ISSN: 1573-2894
0926-6003
DOI: 10.1007/bf00247794
Popis: The purpose of this study is to describe a data parallel primal-dual augmenting path algorithm for the dense linear many-to-one assignment problem also known as semi-assignment. This problem could for instance be described as assigning n persons to m(≤n) job groups.
Databáze: OpenAIRE