Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Accelerated Schemes for the $L_1/L_2$ Minimization   In this paper, we consider the $L_1/L_2 $ minimization for sparse recovery
and study its relationship with the $L_1$-$ \alpha L_2 $ model. Based on this
relationship, we propose three numerical algorithms to minimize this ratio
model, two of which work as adaptive schemes and greatly reduce the computation
time. Focusing on two adaptive schemes, we discuss their connection to existing
approaches and analyze their convergence. The experimental results demonstrate
the proposed approaches are comparable to the state-of-the-art methods in
sparse recovery and work particularly well when the ground-truth signal has a
high dynamic range. Lastly, we reveal some empirical evidence on the exact
$L_1$ recovery under various combinations of sparsity, coherence, and dynamic
ranges, which calls for theoretical justification in the future.

14
The categories of this paper are: math-ph
8
The categories of this paper are: hep-ex
23
The categories of this paper are: solv-int
6
The categories of this paper are: astro-ph
25
The categories of this paper are: patt-sol
33
The categories of this paper are: plasm-ph
9
The categories of this paper are: nlin
21
The categories of this paper are: adap-org
36
The categories of this paper are: cmp-lg
4
The categories of this paper are: cond-mat
17
The categories of this paper are: q-fin
12
The categories of this paper are: nucl-th
37
The categories of this paper are: supr-con
34
The categories of this paper are: chem-ph
31
The categories of this paper are: ao-sci
15
The categories of this paper are: nucl-ex