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concave function相关的网络例句

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

The graph of a concave function is always below its tangent.

一个凹函数的图象总在它的切线的下方。

In order to overcome the nonsmoothness of the objective function, we usea smoothed concave function to approximate the objective function.

为了易于求解该模型,本章采用一个光滑的凹函数来近似目标函数。

In the function of the transaction costs being concave function and more general market friction conditions, giving a algorithm of mean-absolute deviation model and the mean-average absolute deviation model under conditions.

在一般摩擦市场下交易费用函数为凹函数时,给出了均值—绝对偏差模型和均值—平均绝对偏差模型在此条件下的求解算法。

Finally, the optimization warehousing allocation policy is achieved by digital simulation, which shows that expecting revenue is concave function of surplus capacity, and is also concave function of booking leading time, the opportunity costs is a non-increase function of surplus capacity, and is also is a non- increase function of booking leading time.

论文按照随机背包问题思路建立了考虑第三方仓储能力分配动态随机规划模型,对模型性质进行了分析,得到了基于阈值的舱位预订动态控制策略,并通过数值仿真,得知期望收益是剩余仓储能力的凹函数,是时间的凹函数;机会成本是剩余仓储能力的非增函数,是时间的非增函数。

The experimental results show that for most continuous optimization problems, the strategy of concave function gains an advantage over the linear strategy, while the linear strategy outperforms strategy of convex function with the identical initial and final weights.

试验结果表明,对于多数连续优化问题,在初始权值和最终权值相同的情况下,凹函数递减策略优于线性策略,而线性策略优于凸函数策略,凹函数递减策略能够在不影响收敛精度的情况下较大幅度地提高粒子群算法的收敛速度。

Properties of efficient portfolios and the efficient frontier to the model are systematically analyzed. Our main results concerning the properties are: every efficient portfolio can be solved by minimizing portfolio risk under a given level of portfolio return or by maximizing portfolio return under a given level of portfolio risk; on the efficient frontier, the risk is a convex and strictly increasing function of the return and the return is a concave and strictly increasing function of the risk; the utility function on the efficient frontier can be expressed as a quasi-concave function of the risk or the return if the investor's utility function is quasi-concave.

从理论上系统地对该模型下的有效投资组合和有效前沿的性质进行了分析,结果表明:每一个有效投资组合可通过在给定期望收益水平的条件下最小化投资组合风险来获得,或者在给定风险水平的条件下最大化期望投资组合收益来获得;在有效前沿上,风险是收益的严格单调递增凸函数,收益是风险的严格单调递增凹函数;当投资者的效用函数是拟凹函数时,则有效前沿上的效用可表达成风险或收益的拟凹函数。

The convex function develeped so many years that convex functionals are now a class of very universal functionals.The kinetic energy in the classical is the most natural convex function.Others like entropy and so on are convex functions.The economic core is closely connected with the convex function.The western economic core question is the optimized question.The optimized theory has something to do with the convex function and the concave function.

凸函数的发展经年已相当完善其应用非常广泛,在古典力学中的动能,就是最自然直接的凸函数,其他如熵……等均是,连经济学的核心都与之有极密切相关,西方经济学的核心问题是最优化问题,最优化理论又与凸函数与凹函数密切相关。

Theorem A.If the density function fhas the first derivative andlogfis a concave function,the MLE of〓for the two-sample location modelPL uniquely exists.

定理A。若密度函数f具有一阶导数并且logf是严格的凹函数,则对于双子样位置参数模型在PL的限制下,〓的MLE唯一存在。

Theorem C.If the density function fhas the second derivative andlogfis a concave function,the MLE of〓for two-sample scale model PSuniquely exists.

定理C。若密度函数f具有二阶导数并且logf是严格凹函数,则对于双子样尺度参数模型在PS条件限制下,〓的MLE唯一存在。

The Mean-CVaR (Conditional Value-at-Risk) portfolio optimization model is proposed to calculate a globally optimal portfolio under concave transaction costs. A non-decreasing concave function is employed to approximate origin transaction costs function.

研究了当投资组合的风险用条件风险价值(Conditional Value at Risk,简称CVaR)度量,考虑凹交易费用的投资组合选择问题,通过对交易费用采用非线性的凹函数,建立了一个均值-CVaR模型。

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