Publications

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Selected Publications

2022

  1. NEW! Modified inertial projection and contraction algorithms with non-monotonic step sizes for solving variational inequalities and their applications
    Bing Tan and Songxiao Li*
    Optimization, doi: 10.1080/02331934.2022.2123705. [Link] [Cite]

    Tan, B., Li, S.: Modified inertial projection and contraction algorithms with non-monotonic step sizes for solving variational inequalities and their applications. Optimization https://doi.org/10.1080/02331934.2022.2123705 (2022)

  2. Revisiting subgradient extragradient methods for solving variational inequalities
    Bing Tan, Xiaolong Qin*, and Sun Young Cho
    Numerical Algorithms, vol. 90, no. 4, pp. 1593–1615, 2022. [Link] [Cite]

    Tan, B., Qin, X., Cho, S.Y.: Revisiting subgradient extragradient methods for solving variational inequalities. Numer. Algorithms 90, 1593--1615 (2022)

  3. Strong convergence of inertial projection and contraction methods for pseudomonotone variational inequalities with applications to optimal control problems
    Bing Tan, Xiaolong Qin*, and Jen-Chih Yao
    Journal of Global Optimization, vol. 82, no. 3, pp. 523–557, 2022. [Link] [Cite]

    Tan, B., Qin, X., Yao, J.-C.: Strong convergence of inertial projection and contraction methods for pseudomonotone variational inequalities with applications to optimal control problems. J. Global Optim. 82, 523--557 (2022)

  4. Global and linear convergence of alternated inertial single projection algorithms for pseudo-monotone variational inequalities
    Bing Tan, Adrian Petruşel, Xiaolong Qin*, and Jen-Chih Yao
    Fixed Point Theory, vol. 23, no. 1, pp. 391–426, 2022. [Link] [Cite]

    Tan, B., Petru{\c s}el, A., Qin, X., Yao, J.-C.: Global and linear convergence of alternated inertial single projection algorithms for pseudo-monotone variational inequalities. Fixed Point Theory 23, 391--426 (2022)

  5. Accelerated inertial subgradient extragradient algorithms with non-monotonic step sizes for equilibrium problems and fixed point problems
    Bing Tan, Sun Young Cho*, and Jen-Chih Yao
    Journal of Nonlinear and Variational Analysis, vol. 6, no. 1, pp. 89–122, 2022. [Link] [Cite]

    Tan, B., Cho, S.Y., Yao, J.-C.: Accelerated inertial subgradient extragradient algorithms with non-monotonic step sizes for equilibrium problems and fixed point problems. J. Nonlinear Var. Anal. 6, 89--122 (2022)

  6. Two projection-based methods for bilevel pseudomonotone variational inequalities involving non-Lipschitz operators
    Bing Tan and Sun Young Cho*
    Revista de la Real Academia de Ciencias Exactas, Físicas y Naturales. Serie A. Matemáticas, vol. 116, no. 2, art. 64, 20 pp., 2022. [Link] [Cite]

    Tan, B., Cho, S.Y.: Two projection-based methods for bilevel pseudomonotone variational inequalities involving non-Lipschitz operators. Rev. R. Acad. Cienc. Exactas F{\' i}s. Nat. Ser. A Mat. RACSAM 116, Article ID 64 (2022)

2021

  1. Strong convergence of self-adaptive inertial algorithms for solving split variational inclusion problems with applications
    Bing Tan, Xiaolong Qin*, and Jen-Chih Yao
    Journal of Scientific Computing, vol. 87, no. 1, art. 20, 34 pp., 2021. [Link] [Cite]

    Tan, B., Qin, X., Yao, J.-C.: Strong convergence of self-adaptive inertial algorithms for solving split variational inclusion problems with applications. J. Sci. Comput. 87, Article ID 20 (2021)

  2. Two modified inertial projection algorithms for bilevel pseudomonotone variational inequalities with applications to optimal control problems
    Bing Tan, Xiaolong Qin*, and Jen-Chih Yao
    Numerical Algorithms, vol. 88, no. 4, pp. 1757–1786, 2021. [Link] [Cite]

    Tan, B., Qin, X., Yao, J.-C.: Two modified inertial projection algorithms for bilevel pseudomonotone variational inequalities with applications to optimal control problems. Numer. Algorithms 88, 1757--1786 (2021)

  3. Self-adaptive inertial single projection methods for variational inequalities involving non-Lipschitz and Lipschitz operators with their applications to optimal control problems
    Bing Tan, Songxiao Li*, and Xiaolong Qin
    Applied Numerical Mathematics, vol. 170, pp. 219–241, 2021. [Link] [Cite]

    Tan, B., Li, S., Qin, X.: Self-adaptive inertial single projection methods for variational inequalities involving non-Lipschitz and Lipschitz operators with their applications to optimal control problems. Appl. Numer. Math. 170, 219--241 (2021)

2020

  1. Strong convergence of inertial Mann algorithms for solving hierarchical fixed point problems
    Bing Tan* and Songxiao Li
    Journal of Nonlinear and Variational Analysis, vol. 4, no. 3, pp. 337–355, 2020. [Link] [Cite]

    Tan, B., Li, S.: Strong convergence of inertial Mann algorithms for solving hierarchical fixed point problems. J. Nonlinear Var. Anal. 4, 337--355 (2020)

    Please check [Full publications] for a full list of my publications.