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Internal Perturbation Projection Algorithm for the Extended Split Equality Problem and the Extended Split Equality Fixed Point Problem

机译:延长分离平等问题的内部扰动投影算法及其扩展分裂平等定点问题

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In this article, we study the extended split equality problem and extended split equality fixed point problem, which are extensions of the convex feasibility problem. For solving the extended split equality problem, we present two self-adaptive stepsize algorithms with internal perturbation projection and obtain the weak and the strong convergence of the algorithms, respectively. Furthermore, based on the operators being quasinonexpansive, we offer an iterative algorithm to solve the extended split equality fixed point problem. We introduce a way of selecting the stepsize which does not need any prior information about operator norms in the three algorithms. We apply our iterative algorithms to some convex and nonlinear problems. Finally, several numerical results are shown to confirm the feasibility and efficiency of the proposed algorithms.
机译:在本文中,我们研究了扩展的分离平等问题,并扩展了分割平等定点问题,这是凸可行性问题的扩展。为了解决扩展分裂平等问题,我们呈现了两个具有内部扰动投影的自适应步骤算法,并分别获得算法的弱和强大收敛。此外,基于运算符是QuasinoNexpansive,我们提供了一种迭代算法来解决扩展的分离平等定点问题。我们介绍了一种选择步骤的方法,这不需要三种算法中的操作员规范的任何先前信息。我们将迭代算法应用于一些凸起和非线性问题。最后,示出了几个数值结果来证实所提出的算法的可行性和效率。

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