I have a set of $2^n$ points in $d$-dimensional real space. This is my "constellation" $C \subset {\mathbb R}^d$. Let $B$ be the set of binary unordered tuples of length $n$. I want find a $1:1$ mapping $g : C \to B$ so that points in $C$ that are closest to each other (using euclidean distance) are mapped to points in $B$ that are closest to each other (using hamming distance). This is a very similar setting to "gray coding" hence the question title; although the problem might show up in different settings : "aligning two metrics" maybe ... or something along these lines.
2026-02-24 04:47:31.1771908451
how to generalize gray coding
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