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AN-SPS: Adaptive Sample Size Nonmonotone Line Search Spectral Projected Subgradient Method for Convex Constrained Optimization Problems

Published: 2022/09/02, Updated: 2023/10/18
  • Nataša Krklec Jerinkić
  • Tijana Ostojić
  • Categories Convex Optimization, Nonsmooth Optimization Tags Adaptive Variable Sample Size Strategies, non-monotone line search, nonsmooth optimization, sample average approximation, spectral projected gradient Short URL: https://optimization-online.org/?p=20132

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    alternating direction method of multipliers approximation algorithms augmented lagrangian method bilevel optimization Branch-and-Bound branch-and-cut chance constraints column generation combinatorial optimization complexity conic optimization convex optimization cutting planes decomposition derivative-free optimization distributionally robust optimization duality dynamic programming first-order methods global convergence global optimization heuristics integer programming interior point methods large-scale optimization linear programming machine learning mixed-integer linear programming mixed-integer nonlinear programming mixed-integer programming multiobjective optimization nonconvex optimization nonlinear optimization nonlinear programming nonsmooth optimization optimal control optimization proximal point algorithm quadratic programming robust optimization semidefinite programming stochastic optimization stochastic programming trust-region methods unconstrained optimization

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