In this paper, local decoupling method is put forward to simplify the scale of optimization problem and to reduce its searching scope.

研究提出局部脱耦方法用以简化问题规模、缩小搜索空间，选择特征统计算法进行优化方案的搜索。

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In this paper, the new optimization method, constant fin scale method, on the longitudinal fins is introduced and compared with traditional method.

介绍了优化鳍片管的恒肋重法，并与传统的计算方法进行了对比验证。

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Conjugate gradient method, which can be easily computed and requires no matrix storage, is one of the most popular and useful method for solving large scale optimization problems.

共轭梯度法是最优化中最常用的方法之一，它具有算法简便、不需要矩阵存储等优点，十分适合于大规模优化问题。

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