Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Approximating quantiles in very large datasets   Very large datasets are often encountered in climatology, either from a
multiplicity of observations over time and space or outputs from deterministic
models (sometimes in petabytes= 1 million gigabytes). Loading a large data
vector and sorting it, is impossible sometimes due to memory limitations or
computing power. We show that a proposed algorithm to approximating the median,
"the median of the median" performs poorly. Instead we develop an algorithm to
approximate quantiles of very large datasets which works by partitioning the
data or use existing partitions (possibly of non-equal size). We show the
deterministic precision of this algorithm and how it can be adjusted to get
customized precisions.

23
The categories of this paper are: solv-int
34
The categories of this paper are: chem-ph
29
The categories of this paper are: funct-an
36
The categories of this paper are: cmp-lg
1
The categories of this paper are: cs
28
The categories of this paper are: alg-geom
20
The categories of this paper are: acc-phys
8
The categories of this paper are: hep-ex
9
The categories of this paper are: nlin
35
The categories of this paper are: mtrl-th
11
The categories of this paper are: hep-lat
6
The categories of this paper are: astro-ph
22
The categories of this paper are: chao-dyn
32
The categories of this paper are: atom-ph
37
The categories of this paper are: supr-con
5
The categories of this paper are: gr-qc