Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Inertial Proximal Alternating Linearized Minimization (iPALM) for
  Nonconvex and Nonsmooth Problems   In this paper we study nonconvex and nonsmooth optimization problems with
semi-algebraic data, where the variables vector is split into several blocks of
variables. The problem consists of one smooth function of the entire variables
vector and the sum of nonsmooth functions for each block separately. We analyze
an inertial version of the Proximal Alternating Linearized Minimization (PALM)
algorithm and prove its global convergence to a critical point of the objective
function at hand. We illustrate our theoretical findings by presenting
numerical experiments on blind image deconvolution, on sparse non-negative
matrix factorization and on dictionary learning, which demonstrate the
viability and effectiveness of the proposed method.

36
The categories of this paper are: cmp-lg
29
The categories of this paper are: funct-an
16
The categories of this paper are: stat
14
The categories of this paper are: math-ph
1
The categories of this paper are: cs
21
The categories of this paper are: adap-org
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The categories of this paper are: eess
5
The categories of this paper are: gr-qc
17
The categories of this paper are: q-fin
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The categories of this paper are: ao-sci
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The categories of this paper are: astro-ph
13
The categories of this paper are: quant-ph
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The categories of this paper are: mtrl-th
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The categories of this paper are: acc-phys
18
The categories of this paper are: econ
11
The categories of this paper are: hep-lat