Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Generalized-Hukuhara Subgradient Method for Optimization Problem with
  Interval-valued Functions and its Application in Lasso Problem   In this study, a \emph{$gH$-subgradient technique} is developed to obtain
efficient solutions to the optimization problems with nonsmooth nonlinear
convex interval-valued functions. The algorithmic implementation of the
developed $gH$-subgradient technique is illustrated. As an application of the
proposed \emph{$gH$-subgradient technique}, an $\ell_1$ penalized linear
regression problem, known as a \emph{lasso problem}, with interval-valued
features is solved.

18
The categories of this paper are: econ
32
The categories of this paper are: atom-ph
23
The categories of this paper are: solv-int
0
The categories of this paper are: hep-ph
26
The categories of this paper are: bayes-an
3
The categories of this paper are: physics
5
The categories of this paper are: gr-qc
16
The categories of this paper are: stat
12
The categories of this paper are: nucl-th
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The categories of this paper are: nucl-ex
14
The categories of this paper are: math-ph
27
The categories of this paper are: comp-gas
30
The categories of this paper are: q-alg
4
The categories of this paper are: cond-mat
22
The categories of this paper are: chao-dyn
7
The categories of this paper are: hep-th