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On solving equations arising from optimization problems by some generalized newton method

机译:用广义牛顿法求解最优化问题产生的方程

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In this paper we consider equations arising from an optimization problem by the Lagrangian method and show a new algorithm for solving the equations by a generalized Newton method. In a finite number of iterations we can find matrices which are closed to the inverse of the Jacobian matrix by the generalized Newton method.Moreover we get the superlinear convergence to the optimal solution of the optimization problem from our theorem.
机译:在本文中,我们考虑了由拉格朗日方法产生的最优化问题所产生的方程,并展示了一种通过广义牛顿法求解方程的新算法。在有限的迭代次数中,我们可以通过广义牛顿法找到与雅可比矩阵逆矩阵接近的矩阵,而且从定理中获得了对优化问题的最优解的超线性收敛性。

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