Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Parameter Estimation in the Hermitian and Skew-Hermitian Splitting
  Method Using Gradient Iterations   This paper presents enhancement strategies for the Hermitian and
skew-Hermitian splitting method based on gradient iterations. The spectral
properties are exploited for the parameter estimation, often resulting in a
better convergence. In particular, steepest descent with early stopping can
generate a rough estimate of the optimal parameter. This is better than an
arbitrary choice since the latter often causes stability problems or slow
convergence. Additionally, lagged gradient methods are considered as inner
solvers for the splitting method. Experiments show that they are competitive
with conjugate gradient in low precision.

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The categories of this paper are: dg-ga
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The categories of this paper are: nlin
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The categories of this paper are: stat
10
The categories of this paper are: q-bio
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The categories of this paper are: cmp-lg
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The categories of this paper are: adap-org
0
The categories of this paper are: hep-ph
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The categories of this paper are: bayes-an
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The categories of this paper are: econ
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The categories of this paper are: ao-sci
13
The categories of this paper are: quant-ph
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The categories of this paper are: plasm-ph
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The categories of this paper are: acc-phys
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The categories of this paper are: alg-geom
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The categories of this paper are: chem-ph
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The categories of this paper are: q-alg