Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Accelerating Convergence of Proximal Methods for Compressed Sensing
  using Polynomials with Application to MRI   This work aims to accelerate the convergence of iterative proximal methods
when applied to linear inverse problems that arise in compressed sensing
applications by designing a preconditioner using polynomials. By leveraging
polynomials, the preconditioner targets the eigenvalue spectrum of the normal
operator derived from the linear measurement operator in a manner that does not
assume any explicit structure, and can thus be applied various applications of
interest. The efficacy of the preconditioner is validated on four varied MRI
applications, where it seen to achieve faster convergence while achieving
similar reconstruction quality.

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The categories of this paper are: q-bio
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The categories of this paper are: q-fin
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The categories of this paper are: dg-ga
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The categories of this paper are: eess
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The categories of this paper are: hep-ex
1
The categories of this paper are: cs
2
The categories of this paper are: math
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The categories of this paper are: quant-ph
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The categories of this paper are: funct-an
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The categories of this paper are: solv-int
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The categories of this paper are: atom-ph
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The categories of this paper are: econ
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The categories of this paper are: nucl-ex
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The categories of this paper are: hep-th
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The categories of this paper are: adap-org
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The categories of this paper are: comp-gas