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optimality criterion相关的网络例句

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

By regarding the forest-sum growth-cutting rate as the control variable and judging its optimality by "norm minimum", we have given a existence theorem of the optimal control for the area distributing systems of forest trees by utilizing space L2(0,T)'s reflexivity, smoothness and strict convexity.

本文将林木总和长消率作为控制变量,以"范数最小"来衡量其最优性,利用空间L2(0,T),T>0的自反、光滑和严格凸性,给出了森林面积分布系统最优控制的一个存在性定理。

Stochastic convex programming; Monte Carlo methods; Financial optimization; Convergence with probability one; Optimality condition; Monte Carlo penalty function methods; Nonsmooth optimization; Directional derivative; Subdifferential; Confident interval; Conditional Value-at-Risk; Optimal reinsurance

基础科学,数学,运筹学随机凸规划; Monte Carlo方法;金融优化;以概率1收敛;最优性条件; Monte Carlo罚函数法;非光滑优化;方向导数;次微分;置信区间;条件风险价值;最优再保险

At first, on the basis of the sufficient and necessary optimality conditions, we give a certain algorithm to compute the trust region subproblem; then, we draw out a different scheme for parameter vector in CIM.

在分析子问题最优性条件的基础上,我们给出了锥函数模型信赖域子问题的求解算法;并从数据拟合的角度提出了对锥模型中参数向量的另外一种选择方案。

The optimality of the derived recursive algorithm is described based on the duality between the theory of optimal estimation and optimal process.

通过最优估计与最优控制理论的对偶性,说明了递推算法的最优估计解的存在和唯一性。

Chapter3, being the main part of this dissertation, converts nonconvex semidefinite programming problem to nonlinear programming problem, and proves that under transversality condition, strict complementarity condition and the sufficient optimality condition of local solutions, and are equivalent locally.

第3章是本文的主要部分,将非凸半定规划问题转化为等式约束的非线性规划问题,并证明了在局部解的充分性条件及严格互补松弛与非退化条件之下两问题的局部等价性。

The results indicate that,in the process of knowledge sharing in enterprise under incomplete information,if employees are risk neutral,then he should take all risk and become real principle,there is no incentive;if employee is risk evadable,then enterprise should design incentive mechanism by the pattern of fixed pay plus profit distribution in order to employee to take some risk,Pareto optimality isn't reachable.

研究结果表明:在不完全信息条件下的企业内部知识共享过程中,当员工为风险中性时,企业无需对员工进行激励,员工会承担全部风险实际充当委托人角色;当员工为风险规避时,企业应采用固定报酬加利润分成方式设计激励合同,使得员工承担一定风险,此时帕累托最优合同无法实现。

We prove the correctness and optimality of this design by showing that it is able to locally recognize all 1-hop localizable nodes.

我们通过展示该方法能在局部范围内识别所有的一跳可定位节点来证明其正确性和最优性。

For a class of nondifferentiable generalized fractional programming problems with the norm \$‖Bx‖\-p\$ in the objective function involving, a new incomplete Lagrange function is given, and the saddle point optimal criteria are proven by using the existing necessary optimality conditions, under the assumptions of the class of generalized (\$F,α,ρ,d\$)-convexity.

对于一类目标函数中含范数‖Bx‖p的非可微广义分式规划,给出了一个新的非完全Lagrange函数,并利用已有的最优性必要条件,在一类广义-凸性的条件下,证明了鞍点最优性准则。

By building a game model and using parameter simulation, we find that the job seeker with higher ability will overeducate to make the employer can separate higher ability first-time job seekers from lower ability ones when the expansion of higher education makes it easy to acquire a diploma. Once overabundant diploma due to the expansion of higher education universalization makes the employer can not discriminate higher ability candidates from lower ability ones, the employer reduces the salary of social freshman. Such phenomenon induces the equilibrium away from the Pareto optimality and decreases the total social production.

透过赛局模型分析以及参数模拟,我们发现高等教育普及化使得文凭取得相对容易时,高能力者被迫选择超过柏拉图最适的教育水准,以求与低能力者做出区隔;当高等教育持续扩张造成文凭氾滥,此时的混同均衡会使雇主无法以文凭来辨别首次求职者能力,於是雇主给予社会新鲜人的薪资将减少,体系的均衡将偏离柏拉图最适,甚至造成社会新鲜人总产出的下降,这是台湾高等教育普及化的隐忧。

Substituting them into the optimal weighted fusion Wiener filter of the AR signals, a self-turning weighted fusion Wiener filter is presenced, which convergence to the optimal weighed fusion Wiener filter, so that it has the asymptotic optimality.

将它们代入最优加权融合AR信号Wiener滤波器,提出一种自校正加权融合Wiener滤波器。它们以概率1收敛于最优融合Wiener滤波器,因而具有渐近最优性。

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