This convergence is a huge benefit because it means that the learning curve is easily transferred from one AOP approach to another.

这种聚合有很大的好处，因为这意味着学习曲线很容易从一项AOP技术转移到另外一项AOP技术。

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This paper presents a non-monotone curve search method for unconstrained optimization problems and proves its convergence under some mild conditions.

本文提出一类求解无约束优化问题的非单调曲线搜索方法，在较弱条件下证明了其收敛性。

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At the same time, homotopy algorithm is applied in the solution of non-linear equation of plane link curve, it enlarges the convergence range of optimization process steadily.

同时，在求解连杆曲线非线性方程组中引入同伦算法，使算法具有大范围收敛性，从而保证了优化过程的稳定收敛。

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