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penalty function相关的网络例句

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

It also was found that the change of penalty function's coefficient could get optimum operation condition of different product purity.

研究还表明,通过控制罚函数系数,可得不同产品纯度要求下的最优操作条件。

In order to realizing collaborative design, we put forward a collaborative algorithms based compound penalty function, which get rid of the drawbacks of CO .

为了解决在并行求解过程中存在的公共设计变量不一致问题,提出了一种基于罚函数的协调方法。

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。

A new adaptive penalty function is presented to solve constrained optimization problems.

提出一种新的自适应惩罚函数法,用来处理约束优化问题。

This optimization method is a method, called the penalty function method, is a condition for constrained optimization.

详细说明:这个是优化方法中的一种方法,叫做罚函数法,是一种用于带约束条件的优化。

Gerber and Shiu (1998a) and Tsai and Willmot (2002) all consider the renewal equation for the expected discounted penalty function at ruin Ф and its decomposition in this risk process. In their proceeding, they assumed the twice continuous differentiability of Ф,Ф〓,Ф〓 as a premise but its proof isn't obvious.

Gerber and Landry(1998)及Tsai andWillmot(2002)考虑了此模型下的破产时罚金折现期望Ф所满足的更新方程及其分解后的因子Ф〓和Ф〓,但它们的推导过程都是在假定Ф,Ф〓,Ф〓连续且二次连续可微的前提条件下进行的,但实际上此前提假定的成立并非显然。

Integral equation for the penalty function is derived, which provides a unified treatment to the ruin quantities.

我们得到了罚金函数所满足的积分方程,它提供了一种研究破产量的统一方法。

Sequential quadratic programming , penalty function method, trust domain method, constraint DFP .

对于约束最优化问题的研究一直是优化专家们研究的热门方向之一。

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。

For a class of bilevel multi-objective decision,this paper converts it into the problem of equivalent single-level multi-objective decision,then makes use of the inversion property of the genetic algorithm with the ergodic property of the chaos optimization method.Combined with exact non-differentiable penalty function,a new chaos genetic optimization algorithm is presented.

针对求解一类二层多目标决策问题,首先将其转化为等价的单目标决策问题,然后利用遗传算法优化的反演性和混沌优化方法的遍历性,并结合精确不可微罚函数求解非线性约束优化问题,提出了求解此类问题的混沌遗传算法。

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