Contents Online
Mathematics, Computation and Geometry of Data
Volume 2 (2022)
Number 2
A geometric variational framework for computing spherical optimal transportation maps II
Pages: 117 – 149
DOI: https://dx.doi.org/10.4310/MCGD.2022.v2.n2.a2
Authors
Abstract
Optimal transportation maps play fundamental roles in many engineering and medical fields. The computation of optimal transportation maps can be reduced to solve highly non-linear Monge–Ampère equations.
This work summarizes the geometric variational frameworks for spherical optimal transportation maps, which offers solutions to the Minkowski problem in convex differential geometry, reflector design and refractor design problems in optics. The method is rigorous, robust and efficient. The algorithm can directly generalized to higher dimensions.
Received 5 July 2022
Published 21 March 2023