Topological heapsort generalizes to antimatroids, yielding optimal running time and O(log|P|) comparisons for antimatroid-constrained sorting.
Finding large matchings in 1-planar graphs of minimum degree 3
1 Pith paper cite this work. Polarity classification is still indexing.
abstract
A matching is a set of edges without common endpoint. It was recently shown that every 1-planar graph (i.e., a graph that can be drawn in the plane with at most one crossing per edge) that has minimum degree 3 has a matching of size at least $\frac{n+12}{7}$, and this is tight for some graphs. The proof did not come with an algorithm to find the matching more efficiently than a general-purpose maximum-matching algorithm. In this paper, we give such an algorithm. More generally, we show that any matching that has no augmenting paths of length 9 or less has size at least $\frac{n+12}{7}$ in a 1-planar graph with minimum degree 3.
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Optimal antimatroid sorting
Topological heapsort generalizes to antimatroids, yielding optimal running time and O(log|P|) comparisons for antimatroid-constrained sorting.