根据内窥镜成像特性以及基于全局收敛的线性搜索法来确定畸变图像中心和多项式系数。
A new method to correct the barral distortion of endoscope image based on the line search method of guaranteed global convergence is presented.
第二步，以前一步结果为条件，用线性规划或直接搜索法对多循环中相继的各个单循环进行燃料组件的优化布置；
Secondly, detenmine the optimum fuel arrangment on the basis of the Former stage results by employing a linear programming method or directly search method for successive every one of the multi cycle.
转轴直径搜索可行方向法(DSFD方法)是一种比较有效的求解有约束非线性规划问题的算法，但它只能得到局部最优解。
Direct search feasible direction (DSFD) is an effective algorithm for solving the constrained non-linear programming problem, however, it could only find the local optimal solution.
该文提出一种无约束优化非线性共轭梯度法，证明了精确线性搜索下的全局收敛性。
The paper presents a nonlinear conjugate gradient method for unconstrained optimization problem, and proves its global convergence under exact line searches.
将用循环搜索法确定初始值的未线性化参数数量由一个推广到两个。
The number of non-linearized parameters which initial values are determined by the method of cyclic search is double instead of single.
为解决非线性搜索的初值问题，采用线性化方法、简单迭代法求得中间矩阵的初值。
In order to get a fine initial guess for the matrix, a linear algorithm and a simple iteration method are introduced.
本文介绍一种沿曲线方向线性搜索的算法，这种算法概括了梯度法、共轭梯度法以及它们的改进格式。
This paper introduces a curvilinear line searching technique, which possesses all the meris of the gradient method, the conjugate gradient method and some of their refined types.
该方法首先运用对称分量法和线性叠加原理建立故障后的附加正序网络并且定义了故障点的匹配指标，进而基于该指标运用遍历搜索方法寻找故障点位置。
Based on symmetrical component method and linear superposition principle, the additional positive sequence network after fault is established and the matching index on fault point is defined.
从应用角度出发，首先，将约束变尺度法改进为一般约束条件，通过适当选择差商形式和对一维不精确线性搜索方法的修正，扩大了该方法的适用范围。
Through the suitable selection of difference quotient and correction of the one-dimension inaccuracy linear searching, scope of the improved method is extended.
文章给出了一种新的非精确线性搜索下的共轭梯度法，说明了在新线性搜索下每次迭代能够产生下降方向。
The method is proved to be globally convergent if the exact line search, the Grippo-Lucidi line search and the Wolfe-Powell line search is used.
文章给出了一种新的非精确线性搜索下的共轭梯度法，说明了在新线性搜索下每次迭代能够产生下降方向。
The method is proved to be globally convergent if the exact line search, the Grippo-Lucidi line search and the Wolfe-Powell line search is used.
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