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Title: A geometric variational framework for computing spherical optimal transportation maps II
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-Ampere 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.  more » « less
Award ID(s):
2115095
NSF-PAR ID:
10496623
Author(s) / Creator(s):
; ; ; ; ; ; ;
Publisher / Repository:
International Press
Date Published:
Journal Name:
Mathematics, Computation and Geometry of Data
Volume:
2
Issue:
2
ISSN:
2642-1909
Page Range / eLocation ID:
117 to 149
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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