Apr 16, 2020 · We study the problem of computing (1+\epsilon)-approximate shortest paths for S \times V, for a subset S \subseteq V of |S| = n^r sources, for some 0 < r

Michael Elkin and Ofer Neiman. Centralized, Parallel, and Distributed Multi-Source Shortest Paths via Hopsets and Rectangular Matrix Multiplication.

Abstract. Consider an undirected weighted graph G = (V,E,w). We study the problem of computing (1 + ϵ)- approximate shortest paths for S × V , for a subset ...

Centralized and Parallel Multi-Source Shortest Paths via Hopsets and ... All pairs shortest paths using bridging sets and rectangular matrix multiplication.

Mar 9, 2022 · Dive into the research topics of 'Centralized, Parallel, and Distributed Multi-Source Shortest Paths via Hopsets and Rectangular Matrix ...

We study the problem of computing ( 1 + ϵ ) -approximate shortest paths for S × V , for a subset S ⊆ V of | S | = n r sources, for some 0 < r ≤ 1 .

Specifically, our centralized algorithm for this problem requires time , where is the time required to multiply an matrix by an one.

Feb 12, 2021 · Our first observation is that this product can be computed much faster using best available fast rectan- gular matrix multiplication (FRMM) ...

We study the problem of computing $(1+\epsilon)$-approximate shortest paths for $S \times V$, for a subset $S \subseteq V$ of $|S| = n^r$ sources, for some $0 0 ...

Dive into the research topics of 'Centralized, Parallel, and Distributed Multi-Source Shortest Paths via Hopsets and Rectangular Matrix Multiplication'.