Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Local tuning and partition strategies for diagonal GO methods   In this paper, global optimization (GO) Lipschitz problems are considered
where the multi-dimensional multiextremal objective function is determined over
a hyperinterval. An efficient one-dimensional GO method using local tuning on
the behavior of the objective function is generalized to the multi-dimensional
case by the diagonal approach using two partition strategies. Global
convergence conditions are established for the obtained diagonal geometric
methods. Results of a wide numerical comparison show a strong acceleration
reached by the new methods working with estimates of the local Lipschitz
constants over different subregions of the search domain in comparison with the
traditional approach.

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The categories of this paper are: acc-phys
19
The categories of this paper are: eess
17
The categories of this paper are: q-fin
32
The categories of this paper are: atom-ph
22
The categories of this paper are: chao-dyn
35
The categories of this paper are: mtrl-th
11
The categories of this paper are: hep-lat
37
The categories of this paper are: supr-con
34
The categories of this paper are: chem-ph
28
The categories of this paper are: alg-geom
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The categories of this paper are: dg-ga
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The categories of this paper are: gr-qc
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The categories of this paper are: astro-ph
29
The categories of this paper are: funct-an
12
The categories of this paper are: nucl-th
15
The categories of this paper are: nucl-ex