Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A cyclic block coordinate descent method with generalized gradient
  projections   The aim of this paper is to present the convergence analysis of a very
general class of gradient projection methods for smooth, constrained, possibly
nonconvex, optimization. The key features of these methods are the Armijo
linesearch along a suitable descent direction and the non Euclidean metric
employed to compute the gradient projection. We develop a very general
framework from the point of view of block--coordinate descent methods, which
are useful when the constraints are separable.

29
The categories of this paper are: funct-an
9
The categories of this paper are: nlin
15
The categories of this paper are: nucl-ex
16
The categories of this paper are: stat
13
The categories of this paper are: quant-ph
26
The categories of this paper are: bayes-an
30
The categories of this paper are: q-alg
32
The categories of this paper are: atom-ph
31
The categories of this paper are: ao-sci
17
The categories of this paper are: q-fin
6
The categories of this paper are: astro-ph
33
The categories of this paper are: plasm-ph
8
The categories of this paper are: hep-ex
36
The categories of this paper are: cmp-lg
34
The categories of this paper are: chem-ph
14
The categories of this paper are: math-ph