On convergence and complexity analysis of an accelerated forward-backward algorithm with linesearch technique for convex minimization problems and applications to data prediction and classification
DOI10.1186/s13660-021-02675-yzbMath1504.65130OpenAlexW3195018806MaRDI QIDQ2072932
Panitarn Sarnmeta, Suthep Suantai, Dawan Chumpungam, Warunun Inthakon
Publication date: 26 January 2022
Published in: Journal of Inequalities and Applications (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1186/s13660-021-02675-y
machine learningconvex minimization problemsforward-backward algorithmaccelerated algorithmdata classificationlinesearch
Numerical mathematical programming methods (65K05) Convex programming (90C25) Numerical optimization and variational techniques (65K10) Learning and adaptive systems in artificial intelligence (68T05) Monotone operators and generalizations (47H05) Iterative procedures involving nonlinear operators (47J25)
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