IDEAS home Printed from https://ideas.repec.org/p/arx/papers/1109.3893.html
   My bibliography  Save this paper

Concave Generalized Flows with Applications to Market Equilibria

Author

Listed:
  • Laszlo A. Vegh

Abstract

We consider a nonlinear extension of the generalized network flow model, with the flow leaving an arc being an increasing concave function of the flow entering it, as proposed by Truemper and Shigeno. We give a polynomial time combinatorial algorithm for solving corresponding flow maximization problems, finding an epsilon-approximate solution in O(m(m+log n)log(MUm/epsilon)) arithmetic operations and value oracle queries, where M and U are upper bounds on simple parameters. This also gives a new algorithm for linear generalized flows, an efficient, purely scaling variant of the Fat-Path algorithm by Goldberg, Plotkin and Tardos, not using any cycle cancellations. We show that this general convex programming model serves as a common framework for several market equilibrium problems, including the linear Fisher market model and its various extensions. Our result immediately extends these market models to more general settings. We also obtain a combinatorial algorithm for nonsymmetric Arrow-Debreu Nash bargaining, settling an open question by Vazirani.

Suggested Citation

  • Laszlo A. Vegh, 2011. "Concave Generalized Flows with Applications to Market Equilibria," Papers 1109.3893, arXiv.org, revised Apr 2012.
  • Handle: RePEc:arx:papers:1109.3893
    as

    Download full text from publisher

    File URL: http://arxiv.org/pdf/1109.3893
    File Function: Latest version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Donald Goldfarb & Zhiying Jin & James B. Orlin, 1997. "Polynomial-Time Highest-Gain Augmenting Path Algorithms for the Generalized Circulation Problem," Mathematics of Operations Research, INFORMS, vol. 22(4), pages 793-802, November.
    2. Jain, Kamal & Vazirani, Vijay V., 2010. "Eisenberg-Gale markets: Algorithms and game-theoretic properties," Games and Economic Behavior, Elsevier, vol. 70(1), pages 84-106, September.
    3. Andrew V. Goldberg & Serge A. Plotkin & Éva Tardos, 1991. "Combinatorial Algorithms for the Generalized Circulation Problem," Mathematics of Operations Research, INFORMS, vol. 16(2), pages 351-381, May.
    4. Donald Goldfarb & Zhiying Jin, 1996. "A Faster Combinatorial Algorithm for the Generalized Circulation Problem," Mathematics of Operations Research, INFORMS, vol. 21(3), pages 529-539, August.
    5. James B. Orlin, 1993. "A Faster Strongly Polynomial Minimum Cost Flow Algorithm," Operations Research, INFORMS, vol. 41(2), pages 338-350, April.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. László A. Végh, 2014. "Concave Generalized Flows with Applications to Market Equilibria," Mathematics of Operations Research, INFORMS, vol. 39(2), pages 573-596, May.
    2. László A. Végh, 2017. "A Strongly Polynomial Algorithm for Generalized Flow Maximization," Mathematics of Operations Research, INFORMS, vol. 42(1), pages 179-211, January.
    3. Kevin D. Wayne, 2002. "A Polynomial Combinatorial Algorithm for Generalized Minimum Cost Flow," Mathematics of Operations Research, INFORMS, vol. 27(3), pages 445-459, August.
    4. Tomasz Radzik, 1998. "Faster Algorithms for the Generalized Network Flow Problem," Mathematics of Operations Research, INFORMS, vol. 23(1), pages 69-100, February.
    5. Hochbaum, Dorit S., 2002. "Solving integer programs over monotone inequalities in three variables: A framework for half integrality and good approximations," European Journal of Operational Research, Elsevier, vol. 140(2), pages 291-321, July.
    6. Goldfarb, Donald. & Jin, Zhiying. & Orlin, James B., 1953-., 1996. "Polynomial-time highest-gain augmenting path algorithms for the generalized circulation problem," Working papers 3909-96., Massachusetts Institute of Technology (MIT), Sloan School of Management.
    7. Nikhil Garg & Ashish Goel & Benjamin Plaut, 2021. "Markets for public decision-making," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 56(4), pages 755-801, May.
    8. Dereniowski, Dariusz & Kubiak, Wiesław, 2020. "Shared processor scheduling of multiprocessor jobs," European Journal of Operational Research, Elsevier, vol. 282(2), pages 464-477.
    9. Kelli Francis-Staite, 2022. "Internal multi-portfolio rebalancing processes: Linking resource allocation models and biproportional matrix techniques to portfolio management," Papers 2201.06183, arXiv.org.
    10. Balaji Gopalakrishnan & Seunghyun Kong & Earl Barnes & Ellis Johnson & Joel Sokol, 2011. "A least-squares minimum-cost network flow algorithm," Annals of Operations Research, Springer, vol. 186(1), pages 119-140, June.
    11. Ortega, Josué, 2020. "Multi-unit assignment under dichotomous preferences," Mathematical Social Sciences, Elsevier, vol. 103(C), pages 15-24.
    12. Shoshana Anily, 1996. "The vehicle‐routing problem with delivery and back‐haul options," Naval Research Logistics (NRL), John Wiley & Sons, vol. 43(3), pages 415-434, April.
    13. Yosuke Hanawa & Yuya Higashikawa & Naoyuki Kamiyama & Naoki Katoh & Atsushi Takizawa, 2018. "The mixed evacuation problem," Journal of Combinatorial Optimization, Springer, vol. 36(4), pages 1299-1314, November.
    14. Martijn H. H. Schoot Uiterkamp & Marco E. T. Gerards & Johann L. Hurink, 2022. "On a Reduction for a Class of Resource Allocation Problems," INFORMS Journal on Computing, INFORMS, vol. 34(3), pages 1387-1402, May.
    15. Amirmahdi Tafreshian & Neda Masoud & Yafeng Yin, 2020. "Frontiers in Service Science: Ride Matching for Peer-to-Peer Ride Sharing: A Review and Future Directions," Service Science, INFORMS, vol. 12(2-3), pages 44-60, June.
    16. Prabhjot Kaur & Anuj Sharma & Vanita Verma & Kalpana Dahiya, 2022. "An alternate approach to solve two-level hierarchical time minimization transportation problem," 4OR, Springer, vol. 20(1), pages 23-61, March.
    17. Adam N. Letchford, 2000. "Separating a Superclass of Comb Inequalities in Planar Graphs," Mathematics of Operations Research, INFORMS, vol. 25(3), pages 443-454, August.
    18. Hitoshi Hayakawa, 2014. "Complexity of Payment Network," CARF F-Series CARF-F-345, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    19. Ravindra K. Ahuja & Dorit S. Hochbaum, 2008. "TECHNICAL NOTE---Solving Linear Cost Dynamic Lot-Sizing Problems in O ( n log n ) Time," Operations Research, INFORMS, vol. 56(1), pages 255-261, February.
    20. Ons Sassi & Ammar Oulamara, 2017. "Electric vehicle scheduling and optimal charging problem: complexity, exact and heuristic approaches," International Journal of Production Research, Taylor & Francis Journals, vol. 55(2), pages 519-535, January.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    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:arx:papers:1109.3893. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: arXiv administrators (email available below). General contact details of provider: http://arxiv.org/ .

    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.