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Numerical Behaviors of Conjugate Gradient Methods with an Armijo Type Line Search

机译:Armijo型线搜索的共轭梯度法的数值行为

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In this paper, we consider several modified nonlinear conjugate gradient methods with an Armijo type line search proposed in [Y. D. Dong, A practical PR+ conjugate gradient method only using gradient, Appl. Math. Comput., 219(2012)2041-2052.]. Their numerical behaviors are investigated by utilizing a class of unconstrained nonlinear problems from the CUTEr test library and a class of boundary value problems. Numerical experiments for boundary value problems illustrate that the nonlinear conjugate gradient methods with the new line search can be directly applied to some problems whose original functions may be implicit while gradient information is available. And the comparisons of numerical performances among these methods illustrate that the hybrid versions are more efficient.
机译:在本文中,我们考虑了几种改进的非线性共轭梯度法,这些方法采用了[Y. D. Dong,仅使用梯度的实用PR +共轭梯度方法,Appl。数学。计算,219(2012)2041-2052。]。通过利用CUTEr测试库中的一类无约束非线性问题和一类边值问题来研究它们的数值行为。边值问题的数值实验表明,采用新线搜索的非线性共轭梯度法可以直接应用于一些梯度函数可用的情况下,其原始函数可能是隐式的。这些方法之间的数值性能比较表明,混合版本更有效。

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