WARPd: A Linearly Convergent First-Order Primal-Dual Algorithm for Inverse Problems with Approximate Sharpness Conditions
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Publication:5043741
DOI10.1137/21M1455000zbMath1496.65074arXiv2110.12437OpenAlexW4295950397MaRDI QIDQ5043741
Publication date: 6 October 2022
Published in: SIAM Journal on Imaging Sciences (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2110.12437
neural networksmatrix completionerror boundsimage reconstructiontotal variation minimizationcompressed sensingrestartprimal-dual algorithmsaccelerated methodsapproximate sharpness
Analysis of algorithms and problem complexity (68Q25) Convex programming (90C25) Numerical optimization and variational techniques (65K10) Computing methodologies for image processing (68U10) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Complexity and performance of numerical algorithms (65Y20) Matrix completion problems (15A83)
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