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Recente publicaties

  1. Conditions for linear convergence of the gradient method for non-conv…

    Abbaszadehpeivasti, H., de Klerk, E., & Zamani, M. (2023). Conditions for linear convergence of the gradient method for non-convex optimization. Optimization Letters, 17, 1105–1125. http://10.1007/s11590-023-01981-2
  2. Convergence rate analysis of randomized and cyclic coordinate descent…

    Abbaszadehpeivasti, H., de Klerk, E., & Zamani, M. (2023). Convergence rate analysis of randomized and cyclic coordinate descent for convex optimization through semidefinite programming. Applied Set-Valued Analysis and Optimization, 5(2), 141-153.
  3. On the Rate of Convergence of the Difference-of-Convex Algorithm (DCA)

    Abbaszadehpeivasti, H., de Klerk, E., & Zamani, M. (2023). On the Rate of Convergence of the Difference-of-Convex Algorithm (DCA). Journal of Optimization Theory and Applications.
  4. The exact worst-case convergence rate of the alternating direction me…

    Zamani, M., Abbaszadehpeivasti, H., & de Klerk, E. (Accepted/In press). The exact worst-case convergence rate of the alternating direction method of multipliers. Mathematical Programming .
  5. The exact worst-case convergence rate of the gradient method with fix…

    Abbaszadehpeivasti, H., de Klerk, E., & Zamani, M. (2022). The exact worst-case convergence rate of the gradient method with fixed step lengths for L-smooth functions. Optimization Letters, 16(6), 1649–1661.

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