Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Nonconvex fraction function recovery sparse signal by convex
  optimization algorithm   In this paper, we will generate a convex iterative FP thresholding algorithm
to solve the problem $(FP^{\lambda}_{a})$. Two schemes of convex iterative FP
thresholding algorithms are generated. One is convex iterative FP thresholding
algorithm-Scheme 1 and the other is convex iterative FP thresholding
algorithm-Scheme 2. A global convergence theorem is proved for the convex
iterative FP thresholding algorithm-Scheme 1. Under an adaptive rule, the
convex iterative FP thresholding algorithm-Scheme 2 will be adaptive both for
the choice of the regularized parameter $\lambda$ and parameter $a$. These are
the advantages for our two schemes of convex iterative FP thresholding
algorithm compared with our previous proposed two schemes of iterative FP
thresholding algorithm. At last, we provide a series of numerical simulations
to test the performance of the convex iterative FP thresholding
algorithm-Scheme 2, and the simulation results show that our convex iterative
FP thresholding algorithm-Scheme 2 performs very well in recovering a sparse
signal.

17
The categories of this paper are: q-fin
22
The categories of this paper are: chao-dyn
36
The categories of this paper are: cmp-lg
4
The categories of this paper are: cond-mat
35
The categories of this paper are: mtrl-th
30
The categories of this paper are: q-alg
20
The categories of this paper are: acc-phys
32
The categories of this paper are: atom-ph
9
The categories of this paper are: nlin
8
The categories of this paper are: hep-ex
24
The categories of this paper are: dg-ga
3
The categories of this paper are: physics
18
The categories of this paper are: econ
28
The categories of this paper are: alg-geom
6
The categories of this paper are: astro-ph
7
The categories of this paper are: hep-th