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Machine learning algorithms of relaxation subgradient method with space extension

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Publication:2117655
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DOI10.1007/978-3-030-77876-7_32zbMath1489.90120OpenAlexW3170092489MaRDI QIDQ2117655

Elena S. Kagan, Vladimir V. Meshechkin, Lev A. Kazakovtsev, Vladimir N. Krutikov

Publication date: 22 March 2022

Full work available at URL: https://doi.org/10.1007/978-3-030-77876-7_32


zbMATH Keywords

relaxationsubgradient methodsspace extension


Mathematics Subject Classification ID

Convex programming (90C25)





Cites Work

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  • Approximate level method for nonsmooth convex minimization
  • Method of conjugate subgradients with constrained memory
  • Nondifferentiable optimization and polynomial problems
  • Universal method for stochastic composite optimization problems
  • New variants of bundle methods
  • On the properties of the method of minimization for convex functions with relaxation on the distance to extremum
  • Online Learning and Online Convex Optimization
  • The conjugate gradient method in extremal problems
  • Minimization of unsmooth functionals




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