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Step Restriction for a Bounded Newton's Method

机译:有界牛顿法的阶跃限制

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摘要

The robustness of Newton's method is improved by modifications which consist of a partial solver for singular equations, use of variable bounds and optional step size bounds through a trust region, step restriction strategies and optional insistence on norm reduction in the NLAEs. The singular equation solver reliably allows escape from singular points. Most problems in a test set could then be solved with hard bounds but no trust region. Of the restriction methods, a partial LP reduction of the linearised residuals was the most effective. Use of a trust region usually helps convergence, but not always. Insisting on norm reduction was a hindrance, except in terminating runs trapped away from a solution. We recommend a methodology for solving NLAE systems. At present this is a procedure to be applied in stages by the user rather than a fully automated algorithm.
机译:牛顿方法的鲁棒性通过修改得到改善,修改包括对奇异方程的部分求解器,变量边界的使用和通过信任区域的可选步长大小边界,步长限制策略以及对NLAE中范数缩减的可选坚持。奇异方程解算器可靠地允许从奇异点逃逸。然后可以使用硬边界但没有信任区域来解决测试集中的大多数问题。在限制方法中,线性残差的部分LP降低是最有效的。使用信任区域通常有助于收敛,但并非总是如此。坚持减少规范是一个障碍,除了终止从解决方案中捕获的运行之外。我们建议一种解决NLAE系统的方法。目前,这是一个由用户逐步应用的过程,而不是全自动算法。

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