Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
519789 | Journal of Computational Physics | 2011 | 13 Pages |
Abstract
A lagrangian method to numerically solve the L2 optimal mass transfer problem is presented. The initial and final density distributions are approximated by finite mass particles having a gaussian kernel. Mass conservation and the Hamilton–Jacobi equation for the potential are identically satisfied by constant mass transport along straight lines. The scheme is described in the context of existing methods to solve the problem and a set of numerical examples including applications to medical imagery are presented.
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Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Angelo Iollo, Damiano Lombardi,