Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Efficient algorithms computing distances between Radon measures on R   In this paper numerical methods of computing distances between two Radon
measures on R are discussed. Efficient algorithms for Wasserstein-type metrics
are provided. In particular, we propose a novel algorithm to compute the flat
metric (bounded Lipschitz distance) with a computational cost O(nlogn). The
flat distance has recently proven to be adequate for the Escalator Boxcar Train
(EBT) method for solving transport equations with growth terms. Therefore,
finding efficient numerical algorithms to compute the flat distance between two
measures is important for finding the residual error and validating empirical
convergence of different methods.

31
The categories of this paper are: ao-sci
20
The categories of this paper are: acc-phys
10
The categories of this paper are: q-bio
12
The categories of this paper are: nucl-th
36
The categories of this paper are: cmp-lg
11
The categories of this paper are: hep-lat
7
The categories of this paper are: hep-th
37
The categories of this paper are: supr-con
17
The categories of this paper are: q-fin
26
The categories of this paper are: bayes-an
34
The categories of this paper are: chem-ph
27
The categories of this paper are: comp-gas
32
The categories of this paper are: atom-ph
4
The categories of this paper are: cond-mat
5
The categories of this paper are: gr-qc
18
The categories of this paper are: econ