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optimal value相关的网络例句

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Highly efficient and stable method of parameter estimation is built. The fitting degree of extensive extreme value distribution and the extremeⅠ,Ⅱ,Ⅲtype distribution was compared, among which the optimal distribution type are researched.

针对极大似然法参数估计的失效问题,将逐步迭代法推广应用于广义极值分布,建立了参数估计的高效稳定算法,并比较广义极值分布与极值Ⅰ、Ⅱ、Ⅲ型分布的拟合度,研究平均风速的最优分布类型。

It was necessary that the frontispiece of face was pre-supported in the especial stratum. Fourthly, by the model analytic value and the FEM numerical simulation, the advance reinforcement parameters were analyzed roundly, and its results explained that the parameters had optimal values. A series of formulations conforming loads born up for pre-reinforcement structure were given, and five rules for its design and choice were put forward.

全面分析了影响工作面超前预加固参数的因素;揭示了拱部超前预加固参数与地层参数、隧道开挖与支护参数等的内在联系;论证了地层预加固参数的最佳值概念;给出了确定超前预加固结构作用荷载的半拱法、全拱法和全土柱法理论计算公式;建立了隧道工作面上覆地层稳定性判别的准则;提出了工作面地层预加固参数设计与选择的5个指导原则;最后给出了一整套确定浅埋暗挖法隧道工作面地层预加固参数的动态设计方法。

Not only analyzing the basic option model of investment decision for single enterprise, the article introduces the popular game theoretic option and points out competition will erode the option value, so when the investors make decision, they can"t adopt the general basic option method for single enterprise"s investment decision. On this case, the preemption changes the investment start point and the optimal decision should adapt according this.

除了对单一企业的基本投资决策期权模型进行分析外,文章还引入了目前国际上较新的期权博弈理论,提出处于一定竞争态势下的企业在面对投资决策时,由于竞争的影响吞噬了项目推迟期权的价值,因而不能一概地采用最基本的单一企业投资决策期权方法,此时抢摊博弈使投资时点的判断发生了变化,企业的最优决策也应随之变化。

First, by utilizing classical Gauss motion equations, we derived the three separate control laws, which could maximize the time rate of change of a desired orbital element. Then, the separate control laws were blended based on the deficit between current and target value of orbital state. Finally, to obtain the optimal guidance law effectively and reliably, a hybrid method combining genetic algorithm with sequential quadratic programming was used to optimize the weight values.

首先利用传统Gauss型运动方程,推导出三个轨道根数增大最快的独立控制律;然后根据当前根数与目标值的偏差量对独立控制律进行加权组合;最后为高效可靠地获得最优制导律,采用一种遗传算法和逐次二次规划相结合的混合方法对权重进行了优化。

Under optimal condition, Vmax value of the oxidation of guaiacol catalyzed by soybean lipoxygenase was 2.33nmol ?

SLO介导愈创木酚氧化的V_值为2.33nmol·min~(-1)·nmol~(-1)SLO。

When the cost coefficients are fuzzy, the total assignment cost will be fuzzy as well. The Yager's ranking method is utilized to transform the fuzzy cost coefficients into crisp value, then the firm's optimal policy can be determined via the classical Hungarian method.

当指派人员执行各项工作的成本系数为模糊数值时,厂商的总指派成本亦为模糊数值,本研究的构想乃在於利用Yager 的模糊数值排序法,先将成本系数的模糊数值转换为明确数值,之后再利用传统的匈牙利法进行求解。

The nonlinearity and discrete gradient inherited in CAViaR model is a conundrum for parameter estimation. We take the asymmetric Laplace distribution with scale parameter as the error process; indicate the variance has a minimum positive value when the scale parameter is a constant, conflicting with the distribution of real financial data. Further we estimate the parameters of indirect TARCH-CAViaR model base on Bayesian framework and Markov chain Monte Carlo method. The optimal scale parameter can also be obtained by Markov chain Monte Carlo method.

CAViaR一般模型中递归分位回归方程的非线性和非连续可微性是参数估计的一个难题,基于含有尺度参数的不对称拉普拉斯分布作为误差过程,指出将尺度参数固定为常数会导致不对称拉普拉斯分布随机变量的方差存在最小正值的限制,与实际金融数据分布不符;进而提出采用贝叶斯分析和马尔科夫链蒙特卡罗模拟方法,估计间接TARCH-CAViaR模型的参数,并可获得尺度参数的合理估计。

To weaken the influences of the position-dependent periodic disturbances and parameter uncertainties, the robust repetitive controller was designed, which associated structure singular value theory with the discrete-time repetitive control theory. The problem of robust repetitive control was transformed into one of H∞ optimal control using linear fractional transformation. The robust repetitive controller was achieved using D-K iteration procedure and made the servo system have stability, robustness and tracking performance.

为了削弱周期性扰动及参数变化不确定性的影响,将重复控制和结构奇异值理论相结合,利用线性分式变换(linear fractional transformation,LFT)将鲁棒重复控制问题转换成H∞最优控制问题,采用D-K迭代法设计鲁棒重复控制器(robust repetitive controller,RRC),实现系统的稳定性和鲁棒性,提高系统的跟踪特性。

To offset this effect of Unicode character representation and to ensure optimal performance, the default value of the Unicode Compression property for a Text, Memo, or Hyperlink field is Yes.

可通过将"文本"、"备注"或"超链接"字段的"Unicode 压缩"属性的默认值设为"是"来弥补 Unicode 字符表达方式所造成的影响,以确保得到优化的性能。

In chapter two, under non-Lipschitz condition, the existence and uniqueness of the solution of the second kind of BSDE is researched, based on it, the stability of the solution is proved; In chapter three, under non-Lipschitz condition, the comparison theorem of the solution of the second kind of BSDE is proved and using the monotone iterative technique , the existence of minimal and maximal solution is constructively proved; in chapter four, on the base of above results, we get some results of the second kind of BSDE which partly decouple with SDE, which include that the solution of the BSDE is continuous in the initial value of SDE and the application to optimal control and dynamic programming. At the end of this section, the character of the corresponding utility function has been discussed, e.g monotonicity, concavity and risk aversion; in chapter 5, for the first land of BSDE ,using the monotone iterative technique , the existence of minimal and maximal solution is proved and other characters and applications to utility function are studied.

首先,第二章在非Lipschitz条件下,研究了第二类方程的解的存在唯一性问题,在此基础上,又证明了解的稳定性;第三章在非Lipschitz条件下,证明了第二类BSDE解的比较定理,并在此基础上,利用单调迭代的方法,构造性证明了最大、最小解的存在性;第四章在以上的一些理论基础之上,得到了相应的与第二类倒向随机微分方程耦合的正倒向随机微分方程系统的一些结果,主要包括倒向随机微分方程的解关于正向随机微分方程的初值是具有连续性的,得到了最优控制和动态规划的一些结果,在这一章的最后还讨论了相应的效用函数的性质,如,效用函数的单调性、凹性以及风险规避性等;第五章,针对第一类倒向随机微分方程,运用单调迭代方法,证明了最大和最小解的存在性,并研究了解的其它性质及在效用函数上的应用。

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Breath, muscle contraction of the buttocks; arch body, as far as possible to hold his head, right leg straight towards the ceiling (peg-leg knee in order to avoid muscle tension).

呼气,收缩臀部肌肉;拱起身体,尽量抬起头来,右腿伸直朝向天花板(膝微屈,以避免肌肉紧张)。

The cost of moving grain food products was unchanged from May, but year over year are up 8%.

粮食产品的运输费用与5月份相比没有变化,但却比去年同期高8%。

However, to get a true quote, you will need to provide detailed personal and financial information.

然而,要让一个真正的引用,你需要提供详细的个人和财务信息。