Preprint in the OpenAI Math release
Almost-Linear-Time Maximum-Cardinality Matching in General Graphs
OpenAI
Abstract
We prove that maximum-cardinality matching in a simple undirected graph with n vertices and m edges can be found by one uniform randomized algorithm in time. The bound holds on every computation path in a logarithmic-word model, and the algorithm returns an explicit maximum matching with probability at least 2/3. An explicit reduction gives the same time and probability guarantees for deciding whether a simple host graph has a spanning subgraph with prescribed valid vertex degrees, and for finding one when it exists.
open until 1 Jan 2028
est. 50% chance this result is independently verified by the end of 2027.
Not verified 50%Verified 50%
What do you think this paper will get?
All positions stay anonymous.
Discussion (0)
Sign in to comment.