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An approximate bundle method for solving nonsmooth equilibrium problems

机译:解决非光滑平衡问题的近似束方法

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We present an approximate bundle method for solving nonsmooth equilibrium problems. An inexact cutting-plane linearization of the objective function is established at each iteration, which is actually an approximation produced by an oracle that gives inaccurate values for the functions and subgradients. The errors in function and subgradient evaluations are bounded and they need not vanish in the limit. A descent criterion adapting the setting of inexact oracles is put forward to measure the current descent behavior. The sequence generated by the algorithm converges to the approximately critical points of the equilibrium problem under proper assumptions. As a special illustration, the proposed algorithm is utilized to solve generalized variational inequality problems. The numerical experiments show that the algorithm is effective in solving nonsmooth equilibrium problems.
机译:我们提出了一种解决非光滑平衡问题的近似束方法。在每次迭代中都会建立目标函数的不精确切割平面线性化,实际上这是由预言机产生的近似值,该预言值给出了函数和子梯度的不准确值。函数和次梯度评估中的错误是有界的,它们不必在限制中消失。提出了一种适应不精确预言系统的下降准则,以测量当前的下降行为。在适当的假设下,算法生成的序列收敛到平衡问题的大约临界点。作为一个特殊的说明,该算法被用来解决广义的变分不等式问题。数值实验表明,该算法可以有效地解决非光滑平衡问题。

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