Discrete Differential Geometry (DDG) is an emerging discipline at
the boundary between mathematics and computer science. It aims to
translate concepts from classical differential geometry into a
language that is purely finite and discrete, and can hence be used
by algorithms to reason about geometric data. In contrast to
standard numerical approximation, the central philosophy of DDG is
to faithfully and exactly preserve key invariants of geometric
objects at the discrete level. This process of translation from
smooth to discrete helps to both illuminate the fundamental meaning
behind geometric ideas and provide useful algorithmic guarantees.
This volume is based on lectures delivered at the 2018 AMS Short
Course ``Discrete Differential Geometry,'' held January 8-9, 2018,
in San Diego, California. The papers in this volume illustrate the
principles of DDG via several recent topics: discrete nets,
discrete differential operators, discrete mappings, discrete
conformal geometry, and discrete optimal transport.
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