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Geometry of graph partitions via optimal transport. (English) Zbl 07271898
65K10 Numerical optimization and variational techniques
90B06 Transportation, logistics and supply chain management
05C21 Flows in graphs
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[1] R. K. Ahuja, T. L. Magnanti, and J. B. Orlin, Network Flows, Prentice-Hall, Englewood Cliffs, NJ, 1988. · Zbl 1201.90001
[2] S. Bangia, C. V. Graves, G. Herschlag, H. S. Kang, J. Luo, J. C. Mattingly, and R. Ravier, Redistricting: Drawing the Line, preprint, arXiv:1704.03360, 2017.
[3] M. Beckmann, A continuous model of transportation, Econometrica, 20 (1952), pp. 643-660. · Zbl 0048.13001
[4] I. Borg, P. J. Groenen, and P. Mair, Applied Multidimensional Scaling, Springer Science & Business Media, New York, 2012. · Zbl 1416.62017
[5] L. A. Caffarelli and R. J. McCann, Free boundaries in optimal transport and Monge-Ampère obstacle problems, Ann. of Math. (2), 171 (2010), pp. 673-730. · Zbl 1196.35231
[6] J. Chen and J. Rodden, Cutting through the thicket: Redistricting simulations and the detection of partisan gerrymanders, Election Law J., 14 (2015), pp. 331-345.
[7] J. Chen and J. Rodden, Unintentional gerrymandering: Political geography and electoral bias in legislatures, Quart. J. Political Sci., 8 (2013), pp. 239-269.
[8] M. Chikina, A. Frieze, and W. Pegden, Assessing significance in a Markov chain without mixing, Proc. Natl. Acad. Sci. USA, 114 (2017), pp. 2860-2864. · Zbl 1407.62302
[9] L. Chizat, G. Peyré, B. Schmitzer, and F.-X. Vialard, Scaling algorithms for unbalanced optimal transport problems, Math. Comp., 87 (2018), pp. 2563-2609. · Zbl 1402.90120
[10] L. Chizat, G. Peyré, B. Schmitzer, and F.-X. Vialard, Unbalanced optimal transport: Dynamic and Kantorovich formulations, J. Funct. Anal., 274 (2018), pp. 3090-3123. · Zbl 1387.49066
[11] M. Cuturi and D. Avis, Ground metric learning, J. Mach. Learn. Res., 15 (2014), pp. 533-564. · Zbl 1317.68149
[12] W. H. Day, The complexity of computing metric distances between partitions, Math. Social Sci., 1 (1981), pp. 269-287. · Zbl 0497.62049
[13] D. DeFord and M. Duchin, Redistricting reform in Virginia: Districting criteria in context, Virginia Policy Rev., 12 (2019), pp. 120-146.
[14] D. DeFord, M. Duchin, and J. Solomon, Recombination: A Family of Markov Chains for Redistricting, submitted, arXiv:1911.05725, 2019.
[15] L. Denøeud and A. Guénoche, Comparison of distance indices between partitions, in Data Science and Classification, Springer-Verlag, Berlin, 2006, pp. 21-28.
[16] S. Diamond and S. Boyd, CVXPY: A Python-embedded modeling language for convex optimization, J. Mach. Learn. Res., 17 (2016), pp. 1-5. · Zbl 1360.90008
[17] M. Essid and J. Solomon, Quadratically regularized optimal transport on graphs, SIAM J. Sci. Comput., 40 (2018), pp. A1961-A1986. · Zbl 1394.65041
[18] A. Figalli and N. Gigli, A new transportation distance between non-negative measures, with applications to gradients flows with Dirichlet boundary conditions, J. Math. Pures Appl. (9), 94 (2010), pp. 107-130. · Zbl 1203.35126
[19] A. Galichon, Optimal Transport Methods in Economics, Princeton University Press, Princeton, NJ, 2018.
[20] N. Guillen, C. Mou, and A. Świȩch, Coupling Lévy measures and comparison principles for viscosity solutions, Trans. Amer. Math. Soc., 372 (2019), pp. 7327-7370. · Zbl 1428.35080
[21] G. Herschlag, gjh/districtingdatarepository, September 2019, http://git.math.duke.edu/gitlab/gjh/districtingDataRepository.
[22] G. Herschlag, H. S. Kang, J. Luo, C. V. Graves, S. Bangia, R. Ravier, and J. C. Mattingly, Quantifying Gerrymandering in North Carolina, Statist. Public Ploicy, 7 (2020), pp. 30-38.
[23] G. Herschlag, R. Ravier, and J. C. Mattingly, Evaluating Partisan Gerrymandering in Wisconsin, preprint, arXiv:1709.01596, 2017.
[24] L. V. Kantorovich, On the translocation of masses, in Dokl. Akad. Nauk., 37 (1942), pp. 199-201. · Zbl 0061.09705
[25] G. P. Leonardi and I. Tamanini, Metric spaces of partitions, and Caccioppoli partitions, Adv. Math. Sci. Appl., 12 (2002), pp. 725-753. · Zbl 1044.49030
[26] D. Lombardi and E. Maitre, Eulerian models and algorithms for unbalanced optimal transport, ESAIM Math. Model. Numer. Anal., 49 (2015), pp. 1717-1744. · Zbl 1334.65112
[27] S. Manson, J. Schroeder, D. Van Riper, T. Kugler, and S. Ruggles, IPUMS National Historical Geographic Information System: Version 12.0 [database], University of Minnesota, Minneapolis, MN, 2017.
[28] M. Meilă, Comparing clusterings-an information based distance, J. Multivariate Anal., 98 (2007), pp. 873-895. · Zbl 1298.91124
[29] Metric Geometry and Gerrymandering Group, mggg/gerrychain: v\textup0.2.12, July 2019, https://github.com/mggg/gerrychain.
[30] Metric Geometry and Gerrymandering Group and R. Buck, mggg-states, September 2019, https://github.com/mggg-states.
[31] G. Monge, Mémoire sur la théorie des déblais et des remblais, Histoire de l’Académie Royale des Sciences de Paris, 1781.
[32] L. Najt, D. DeFord, and J. Solomon, Complexity and Geometry of Sampling Connected Graph Partitions, preprint, arXiv:1908.08881, 2019.
[33] F. Pedregosa, G. Varoquaux, A. Gramfort, V. Michel, B. Thirion, O. Grisel, M. Blondel, P. Prettenhofer, R. Weiss, V. Dubourg, J. Vanderplas, A. Passos, D. Cournapeau, M. Brucher, M. Perrot, and E. Duchesnay, Scikit-learn: Machine learning in Python, J. Mach. Learn., 12 (2011), pp. 2825-2830. · Zbl 1280.68189
[34] G. Peyré and M. Cuturi, Computational optimal transport, Found. Trends Mach. Learn., 11 (2019), pp. 355-607. · Zbl 07039357
[35] F. Santambrogio, Prescribed-divergence problems in optimal transportation, lecture notes presented at the Mathemetical Sciences Research Institute, 2013
[36] F. Santambrogio, Optimal Transport for Applied Mathematicians, Springer, Cham, 2015. · Zbl 1401.49002
[37] Z. Schutzman, zschutzman/enumerator: v0.1.5, 10 2019, https://github.com/zschutzman/enumerator.
[38] L. Slater Morton, Lagrange Multipliers Revisited, Cowles Commission Discussion Paper: Mathematics 403, Yale University, New Haven, CT, 1950.
[39] C. Villani, Topics in Optimal Transportation, Grad. Stud. Math. 58, American Mathematical Society, Providence, RI, 2003. · Zbl 1106.90001
[40] H. P. Young, Measuring the compactness of legislative districts, Legislative Stud. Quart., 13 (1988), pp. 105-115.
[41] M. Yurochkin, S. Claici, E. Chien, F. Mirzazadeh, and J. Solomon, Hierarchical optimal transport for document representation, in Proceedings of the Neural Information Processing Systems Conference, 2019.
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