In the last decade, the notion of metric embeddings with
small distortion received wide attention in the literature, with
applications in combinatorial optimization, discrete mathematics, functional
analysis and bio-informatics. The notion of embedding is, given two metric
spaces on the same number of points, to find a bijection that minimizes
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Given a graph G and a collection of source-sink pairs in G, what is the least integer c such that each source can be connected by a path to its sink, with at most c paths going through an edge? This is known as the congestion minimization problem, and the ... more >>>

We show that a mild derandomization assumption together with the
worst-case hardness of NP implies the average-case hardness of a
language in non-deterministic quasi-polynomial time. Previously such
connections were only known for high classes such as EXP and
PSPACE.

There has been a long line of research trying to explain ... more >>>