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global convergence相关的网络例句

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与 global convergence 相关的网络例句 [注:此内容来源于网络,仅供参考]

And the admissible filter can be found by solving a convex optimization problem with global convergence assured.

所设计的滤波器能够保证相对于所有能量有界的外界扰动信号,滤波误差系统具有一定的l2-l∞扰动衰减水平。

By weakening the premise of the convexity of the objective function required in paper[7], we prove the sufficient desent property and the global convergence with the strong Wolfe line search.

在第二章中,我们参照文献[7]中的方法,提出了一类与HS算法相关的共轭梯度算法,并减弱了文[7]中要求目标函数二阶连续可微且为凸的前提条件,采用强Wolfe线搜索,在较弱的条件下证明了这一类算法具有充分下降性和全局收敛性。

This chapter investigates global convergence properties of the conjugate descent method with the two Armijo-type line searches.

进而证明了这两种Armijo型线搜索可保证共轭下降法的下降搜索方向的充分下降性。

In order to avoid the Maratos effect, the merit functions used are approximations to Fletchers differentiable exact penalty function. Global convergence is proved on some conditions, and some numerical results are given .

为避免Maratos效应,此方法采用Fletcher的光滑精确罚函数的逼近形式作为价值函数,在一定条件下证明了算法的全局收敛性并且给出数值结果。

However, to establish global convergence for these latter methods, one must enforce either sufficient decrease conditions (the Armijo-Goldstein-Wolfe conditions)or a fraction of Cauchy decrease condition - all of which rely on explicit numerical function values, as well as explicit approximations to the directional derivative at the current iterate.

但是,为了保证后面方法的全局收敛,必须有足够的减少条件(Armijo-Goldstein-Wolfe条件)或者部分柯西减少条件——它们全都依赖于外在的数值函数值,就和在当前迭代逼近方向导数一样。

The reason to do so is that the hyperbola intersection model is not a global convergence model, and bad initial coordinate can lead to divergency for the Least Square solutions.

由于双曲线定位算法是非全局收敛的算法,本文提出的基于解析算法用于求解初值可以大大避免系统的发散。

This algorithm, justified by simulation experiments, is extremely effective due to its global convergence capability together with square computational complexity.

这种方法具有平方的计算复杂度,仿真结果验证了其全局收敛性。

Furthermore, global convergence is analyzed even in the presence of the estimation error of the eigen-matrix group.

分析了算法的收敛性能,证明存在估计误差时,该算法依然全局渐进收敛。

The method can convert OPF problem into unconstrained extreme value problem using intellectual optimizing characteristics. The PSO algorithm is used in the searching, which has the parallel processing characteristic is easy to realize, and can enhance robustness and effectively improve the global convergence performance and calculation accuracy.

该方法利用智能优化理论将最优潮流问题转化成一个无约束极值问题,该算法具有并行处理特征,鲁棒性好,易于实现,能够有效的提高算法的全局收敛能力和计算精度。

In view of trust region algorithm has good global convergence for solving non-linear quadratic programming problem,the effective elastic module s damage factor and the damage distribution function is introduced by FEM updating .

鉴于信赖域算法在求解非线性二次规划问题中具有良好的全局收敛特性,同时结合有限元模型修正技术,引入有效弹性模量损伤因子和损伤分布函数的概念,在Matlab编程环境下调用ANSYS有限元程序中的APDL语言进行桥梁空间结构的有限元建模,利用信赖域算法调整局部单元的参数,通过连续损伤分布插值多项式拟合连续区段各单元的损伤分布曲线,进而实现了对连续梁桥的动力损伤识别。

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