Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Decentralized Multi-Agent Optimization Based on a Penalty Method   We propose a decentralized penalty method for general convex constrained
multi-agent optimization problems. Each auxiliary penalized problem is solved
approximately with a special parallel descent splitting method. The method can
be implemented in a computational network where each agent sends information
only to the nearest neighbours. Convergence of the method is established under
rather weak assumptions. We also describe a specialization of the proposed
approach to the feasibility problem.

24
The categories of this paper are: dg-ga
27
The categories of this paper are: comp-gas
34
The categories of this paper are: chem-ph
35
The categories of this paper are: mtrl-th
0
The categories of this paper are: hep-ph
30
The categories of this paper are: q-alg
32
The categories of this paper are: atom-ph
9
The categories of this paper are: nlin
15
The categories of this paper are: nucl-ex
28
The categories of this paper are: alg-geom
4
The categories of this paper are: cond-mat
11
The categories of this paper are: hep-lat
29
The categories of this paper are: funct-an
17
The categories of this paper are: q-fin
20
The categories of this paper are: acc-phys
10
The categories of this paper are: q-bio