Title
Two algorithms for the Student-Project Allocation problem
Abstract
We study the Student-Project Allocation problem (SPA), a generalisation of the classical Hospitals/Residents problem (HR). An instance of SPA involves a set of students, projects and lecturers. Each project is offered by a unique lecturer, and both projects and lecturers have capacity constraints. Students have preferences over projects, whilst lecturers have preferences over students. We present two optimal linear-time algorithms for allocating students to projects, subject to the preference and capacity constraints. In particular, each algorithm finds a stable matching of students to projects. Here, the concept of stability generalises the stability definition in the HR context. The stable matching produced by the first algorithm is simultaneously best-possible for all students, whilst the one produced by the second algorithm is simultaneously best-possible for all lecturers. We also prove some structural results concerning the set of stable matchings in a given instance of SPA. The SPA problem model that we consider is very general and has applications to a range of different contexts besides student-project allocation.
Year
DOI
Venue
2007
10.1016/j.jda.2006.03.006
J. Discrete Algorithms
Keywords
Field
DocType
student-project allocation problem,stable matching problem,student-optimal,preference lists,optimal linear-time algorithm,linear-time algorithm,lecturer-optimal,stable matching,spa problem model,residents problem,capacity constraint,hr context,whilst lecturer,stability definition,stable matchings
Stable roommates problem,Combinatorics,Stable marriage problem,Generalization,Computer science,Algorithm
Journal
Volume
Issue
ISSN
5
1
Journal of Discrete Algorithms
Citations 
PageRank 
References 
26
1.49
14
Authors
3
Name
Order
Citations
PageRank
David J. Abraham119015.88
Robert W. Irving21331146.76
David F. Manlove376160.45