IDEAS home Printed from https://ideas.repec.org/a/inm/oropre/v33y1985i3p527-536.html
   My bibliography  Save this article

Signature Methods for the Assignment Problem

Author

Listed:
  • M. L. Balinski

    (C.N.R.S., Laboratoire d'Econométrie de I'Ecole Polytechnique, Paris)

Abstract

The “signature” of a dual feasible basis of the assignment problem is an n -vector whose i th component is the number of nonbasic activities of type ( i , j ). This paper uses signatures to describe a method for finding optimal assignments that terminates in at most ( n − 1)( n − 2)/2 pivot steps and takes at most O ( n 3 ) work.

Suggested Citation

  • M. L. Balinski, 1985. "Signature Methods for the Assignment Problem," Operations Research, INFORMS, vol. 33(3), pages 527-536, June.
  • Handle: RePEc:inm:oropre:v:33:y:1985:i:3:p:527-536
    DOI: 10.1287/opre.33.3.527
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/opre.33.3.527
    Download Restriction: no

    File URL: https://libkey.io/10.1287/opre.33.3.527?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Konstantinos Paparrizos & Nikolaos Samaras & Angelo Sifaleras, 2015. "Exterior point simplex-type algorithms for linear and network optimization problems," Annals of Operations Research, Springer, vol. 229(1), pages 607-633, June.
    2. Manfred Padberg & Dimitris Alevras, 1994. "Order‐preserving assignments," Naval Research Logistics (NRL), John Wiley & Sons, vol. 41(3), pages 395-421, April.
    3. Jingqun Li & R. Tharmarasa & Daly Brown & Thia Kirubarajan & Krishna R. Pattipati, 2019. "A novel convex dual approach to three-dimensional assignment problem: theoretical analysis," Computational Optimization and Applications, Springer, vol. 74(2), pages 481-516, November.
    4. Pritibhushan Sinha, 2009. "Assignment problems with changeover cost," Annals of Operations Research, Springer, vol. 172(1), pages 447-457, November.
    5. Qin, Xiaolin & Tang, Juan & Feng, Yong & Bachmann, Bernhard & Fritzson, Peter, 2016. "Efficient index reduction algorithm for large scale systems of differential algebraic equations," Applied Mathematics and Computation, Elsevier, vol. 277(C), pages 10-22.
    6. Orlin, James B., 1953-. & Ahuja, Ravindra K., 1956-., 1988. "New scaling algorithms for the assignment and minimum cycle mean problems," Working papers 2019-88., Massachusetts Institute of Technology (MIT), Sloan School of Management.
    7. Michael Z. Spivey & Warren B. Powell, 2004. "The Dynamic Assignment Problem," Transportation Science, INFORMS, vol. 38(4), pages 399-419, November.
    8. Fanrui Xie & Tao Wu & Canrong Zhang, 2019. "A Branch-and-Price Algorithm for the Integrated Berth Allocation and Quay Crane Assignment Problem," Transportation Science, INFORMS, vol. 53(5), pages 1427-1454, September.
    9. Jingqun Li & Thia Kirubarajan & R. Tharmarasa & Daly Brown & Krishna R. Pattipati, 2021. "A dual approach to multi-dimensional assignment problems," Journal of Global Optimization, Springer, vol. 81(3), pages 691-716, November.
    10. Andrei Nikolaev & Anna Kozlova, 2021. "Hamiltonian decomposition and verifying vertex adjacency in 1-skeleton of the traveling salesperson polytope by variable neighborhood search," Journal of Combinatorial Optimization, Springer, vol. 42(2), pages 212-230, August.
    11. Ivan Belik & Kurt Jornsten, 2018. "Critical objective function values in linear sum assignment problems," Journal of Combinatorial Optimization, Springer, vol. 35(3), pages 842-852, April.
    12. Andrei V. Nikolaev & Egor V. Klimov, 2024. "Finding a second Hamiltonian decomposition of a 4-regular multigraph by integer linear programming," Journal of Combinatorial Optimization, Springer, vol. 47(5), pages 1-31, July.
    13. Chen, Liang & Tokuda, Naoyuki, 2001. "A faster data assignment algorithm for maximum likelihood-based multitarget motion tracking with bearings-only measurements," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 57(1), pages 109-120.
    14. Ritter, Gunter & Pesch, Christoph, 2001. "Polarity-free automatic classification of chromosomes," Computational Statistics & Data Analysis, Elsevier, vol. 35(3), pages 351-372, January.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:inm:oropre:v:33:y:1985:i:3:p:527-536. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.