查询词典 optimization

Unlike previous approaches that use a single conic as proxy surface in the optimization phase, our method use multiple segments of conic to further reduce the error and guarantee C0 continuity between the conics in the same cone spline surface.

不同於旧有的方法利用单一的圆锥曲面，我们利用多段的圆锥曲面拟合网格以降低误差，并保证同一区块内，圆锥之间的C0连续性，因此我们的演算法可以利用较少的区块，来更精确的拟合网格。

But these methods limited by the expense of computing fundamental matrices and trifocal tensors or of the nonlinear optimization involved in computing epipolar tangencies. Through the studies of the invariants of the single axis motions, computational theories have been developed in this thesis to provide practical solutions for the problem of structure and motion from fitting the corresponding points in the whole sequence to its conic locus or conics for short.

在最近的研究中，一些研究人员利用视觉几何的方法从非定标的图象中对单轴旋转运动进行分析，提出了利用基本矩阵和三焦距张量求解单轴旋转运动中的关键参数——旋转角度的算法，但是该算法需要计算一系列相邻2图象的基本矩阵和一系列相邻3图象的三焦距张量，由于每个基本矩阵的自由度为7，每个三焦距张量的自由度为18，导致算法参数数量非常之大。

Nonlinear conjugate gradient methods are a class of important methods for optimization.

中文摘要：非线性共轭梯度法是最优化中一种重要的方法。

Conjugate direction algorithm is an important algorithm in the theory of optimization.

引言 在二次函数的最优化算法中，共轭方向算法是一种最有效的方法。

The ABS algorithms are utilized in modifying the Zangwill conjugate direction method for nqnconstrained optimization problems.

将ABS方法与Zangwill方法相结合。构造出一种有限步收敛的求解具有线性约束的二次规划问题的共轭方向法－LAZ法

The path is defined as linear combination of a sequence of conjugate directions whichare obtained by applying standard conjugate direction method to approximate quadratic functionof unconstrained optimization.

Bulteau和Vial在[7]中构造了无约束最优化问题的共轭梯度路径，其基本思想是将标准共轭方向法应用于无约束优化目标函数f的局部二次近似函数，得到一组共轭方向序列。

The content of our curriculum are:Optimization under unconstrained conditions and constrained conditions,we'll focus on common methods of this field like Conjugate gradient method,DFP,POWELL method,The multiplier method,Penalty Function Method and so on.

主要讲授内容为无约束条件及有约束条件下的优化设计，重点介绍了共轭梯度法，变尺度法，POWELL法，乘子法，惩罚函数法等电路优化的常用方法。

The optimization results from the conjugate gradient method are used as the parameters of finite element models.

分别在理想条件下和噪声条件下的反演结果表明反演方法的有效性。

The conjugate gradient method is one of the most efficient methods for solving unconstrained optimization problems.

摘要共轭梯度法是求解无约束优化问题的一类有效方法。

Conjugate gradient method is a method for solving nonlinear optimization problems, especially large-scale problems.

共轭梯度法是求解无约束优化问题的一种重要的方法，尤其适用于大规模优化问题的求解。

The split between the two groups can hardly be papered over.

这两个团体间的分歧难以掩饰。

This approach not only encourages a greater number of responses, but minimizes the likelihood of stale groupthink.

这种做法不仅鼓励了更多的反应，而且减少跟风的可能性。