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An effective trust-region-based approach for symmetric nonlinear systems

机译:一种有效的基于信赖域的对称非线性系统方法

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This paper presents a new trust-region procedure for solving symmetric nonlinear systems of equations having several variables. The proposed approach takes advantage of the combination of both an effective adaptive trust-region radius and a non-monotone strategy. It is believed that the selection of an appropriate adaptive radius and the application of a suitable non-monotone strategy can improve the efficiency and robustness of the trust-region framework as well as decrease the computational costs of the algorithm by decreasing the required number of subproblems to be solved. The global convergence and the quadratic convergence of the proposed approach are proved without the non-degeneracy assumption of the exact Jacobian. The preliminary numerical results of the proposed algorithm indicating the promising behaviour of the new procedure for solving nonlinear systems are also reported.
机译:本文提出了一种新的信赖域程序,用于求解具有多个变量的对称非线性方程组。所提出的方法利用了有效的自适应信任区域半径和非单调策略的结合。可以相信,选择合适的自适应半径并应用合适的非单调策略可以提高信任区域框架的效率和健壮性,并通过减少所需的子问题数量来降低算法的计算成本。有待解决。证明了所提方法的全局收敛性和二次收敛性,而没有确切的雅可比行列式的不变性假设。还报告了所提出算法的初步数值结果,该结果表明了求解非线性系统的新方法的良好前景。

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