Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Generalized Row-Action Methods for Tomographic Imaging   Row-action methods play an important role in tomographic image
reconstruction. Many such methods can be viewed as incremental gradient methods
for minimizing a sum of a large number of convex functions, and despite their
relatively poor global rate of convergence, these methods often exhibit fast
initial convergence which is desirable in applications where a low-accuracy
solution is acceptable. In this paper, we propose relaxed variants of a class
of incremental proximal gradient methods, and these variants generalize many
existing row-action methods for tomographic imaging. Moreover, they allow us to
derive new incremental algorithms for tomographic imaging that incorporate
different types of prior information via regularization. We demonstrate the
efficacy of the approach with some numerical examples.

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The categories of this paper are: patt-sol
19
The categories of this paper are: eess
4
The categories of this paper are: cond-mat
24
The categories of this paper are: dg-ga
30
The categories of this paper are: q-alg
12
The categories of this paper are: nucl-th
36
The categories of this paper are: cmp-lg
23
The categories of this paper are: solv-int
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The categories of this paper are: acc-phys
7
The categories of this paper are: hep-th
35
The categories of this paper are: mtrl-th
10
The categories of this paper are: q-bio
18
The categories of this paper are: econ
5
The categories of this paper are: gr-qc
22
The categories of this paper are: chao-dyn
33
The categories of this paper are: plasm-ph