Quadratically regularized optimal transport / D.A. Lorenz, P. Manns, C. Meyer
VerfasserLorenz, Dirk In der Gemeinsamen Normdatei der DNB nachschlagen ; Manns, Paul In der Gemeinsamen Normdatei der DNB nachschlagen ; Meyer, Christian In der Gemeinsamen Normdatei der DNB nachschlagen
ErschienenDortmund : Technische Universität Dortmund, Fakultät für Mathematik, March 2019
Elektronische Ressource
Umfang1 Online-Ressource (30 Seiten)
SerieErgebnisberichte angewandte Mathematik ; no. 600
SchlagwörterTransportplanung In Wikipedia suchen nach Transportplanung / Gauß-Seidel-Iterationsverfahren In Wikipedia suchen nach Gauß-Seidel-Iterationsverfahren / Quasi-Newton-Verfahren In Wikipedia suchen nach Quasi-Newton-Verfahren
URNurn:nbn:de:hbz:6:2-109467 Persistent Identifier (URN)
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Quadratically regularized optimal transport [0.33 mb]

We investigate the problem of optimal transport in the so-called Kantorovich form, i.e. given two Radon measures on two compact sets, we seek an optimal transport plan which is another Radon measure on the product of the sets that has these two measures as marginals and minimizes a certain cost function. We consider quadratic regularization of the problem, which forces the optimal transport plan to be a square integrable function rather than a Radon measure. We derive the dual problem and show strong duality and existence of primal and dual solutions to the regularized problem. Then we derive two algorithms to solve the dual problem of the regularized problem: A Gauss-Seidel method and a semismooth quasi-Newton method and investigate both methods numerically. Our experiments show that the methods perform well even for small regularization parameters. Quadratic regularization is of interest since the resulting optimal transport plans are sparse, i.e. they have a small support (which is not the case for the often used entropic regularization where the optimal transport plan always has full measure).