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<p>In this paper, we consider a&#xa0;class of convex feasibility problem, which arises in support vector machines. Based on the stochastic block projection algorithm with adaptive extrapolation, we design a&#xa0;dual adaptive stochastic block projection algorithm to solve this problem. The convergence analysis of the new algorithm is given. Finally, some numerical examples demonstrate that our proposed algorithm is feasible and effective.</p>

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Dual adaptive stochastic block projection algorithm for solving convex feasibility problem in support vector machines

  • 期刊论文

  • 发表日期：

    2026年4月13日

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  • Chunmei Li,
  • Bangjun Chen,
  • Xuefeng Duan

摘要

In this paper, we consider a class of convex feasibility problem, which arises in support vector machines. Based on the stochastic block projection algorithm with adaptive extrapolation, we design a dual adaptive stochastic block projection algorithm to solve this problem. The convergence analysis of the new algorithm is given. Finally, some numerical examples demonstrate that our proposed algorithm is feasible and effective.