如果您没有使用某种超全局变量(比如环境变量),您可以安全地删除它们来获得一点加速,从而避免在每一个请求上解析它们。
If you aren't using certain superglobals (such as environment variables), you can safely remove them to gain a small speedup from not having to parse them on every request.
给出一种新的非单调信赖域方法,证明了算法的全局收敛性和超线性收敛性,最后给出了数值结果。
A new nonmonotonic trust region method is given in this paper. And its global convergence and superlinear convergence are proved. Numerical results are given.
在适当的假设条件下,我们证明了算法具有全局收敛性和超线性收敛性。
Under mild conditions, we establish the global and superlinear convergence results for the method.
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