Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Digital-Discrete Surface Reconstruction: A true universal and nonlinear
  method   The most common problem in data reconstruction is to fit a function based on
the observations of some sample (guiding) points. This paper provides a
methodological point of view of digital-discrete surface reconstruction. We
explain our method along with why it is a truly universal and nonlinear method
unlike most popular methods, which are linear and restricted. This paper
focuses on what the surface reconstruction problem is and why the
digital-discrete method is important, necessary, and how it can be
accomplished.

29
The categories of this paper are: funct-an
9
The categories of this paper are: nlin
22
The categories of this paper are: chao-dyn
36
The categories of this paper are: cmp-lg
31
The categories of this paper are: ao-sci
13
The categories of this paper are: quant-ph
28
The categories of this paper are: alg-geom
7
The categories of this paper are: hep-th
37
The categories of this paper are: supr-con
1
The categories of this paper are: cs
12
The categories of this paper are: nucl-th
24
The categories of this paper are: dg-ga
27
The categories of this paper are: comp-gas
10
The categories of this paper are: q-bio
3
The categories of this paper are: physics
17
The categories of this paper are: q-fin