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Inverse retraction based distance approximation #119

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merged 2 commits into from
Jul 25, 2022

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mateuszbaran
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Required to complete JuliaManifolds/Manopt.jl#138 .

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codecov bot commented Jul 25, 2022

Codecov Report

Merging #119 (0c7667e) into master (e509370) will increase coverage by 0.00%.
The diff coverage is 100.00%.

@@           Coverage Diff           @@
##           master     #119   +/-   ##
=======================================
  Coverage   99.81%   99.81%           
=======================================
  Files          17       17           
  Lines        2129     2132    +3     
=======================================
+ Hits         2125     2128    +3     
  Misses          4        4           
Impacted Files Coverage Δ
src/ManifoldsBase.jl 99.30% <100.00%> (+0.01%) ⬆️

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@kellertuer kellertuer left a comment

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I have not yet seen this in literature but it seems nice.
In the PR you reference I think one could also directly use the norm.

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What I think is nice about this is that we don't have to explicitly compute the inverse retraction if a manifold provides a faster implementation for a particular case.

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2 participants