摘要
绝对值方程Ax-|x|=b等价于一个不可微的NP-hard优化问题.构造了绝对值函数的一致光滑逼近函数,采用一致光滑逼近函数对绝对值方程光滑化处理,引入适当的目标函数,给出了求解绝对值方程的光滑牛顿法.数值实验结果证明了该方法的有效性.
An absolute value equation is equivalent to a non-differentiable NP-hard optimization problem in its general form.This paper transformed the absolute value equation into a differentiable optimization by establishing a uniform smooth approximation function of absolute value function,and a smooth Newton method was proposed for solving absolute value equation by introducing a proper targeted function.Numerical results indicated that the method is effective.
引文
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