查询词典 optimization problem

Can be used in most cases the optimization problem.

可用于大多数情况下的优化问题。

It is shown that this is a large scale mixed 0-1 integer nonlinear optimization problem.

本文提出了一个求解这类问题的新算法。

However, owing to the introduction of the binary line processes, the reconstruction becomes a mixed integer optimization problem.

但是，由于二进制的线过程的存在，使得重建问题变成一个既具有连续量又具有二进量的混合优化问题。

The linear programming model is established in this paper, the optimization problem is solved by a primal-dual interior-point algorithm which is one of the interior point methods.

本文建立了电力系统无功优化的线性数学模型，并采用内点法中的原-对偶仿射尺度法求解优化问题。

Based on the speciality of the spectral function, we provide the sufficient conditions such that the spectral function are K—increasing (strictly K—increasing) in Euclidean Jordan algebra, and establish the relationship between the spectral scalar solution set and the K— efficient solution set of the Euclidean Jordan algebra vector optimization problem.

基于谱函数的特殊性，刻画了谱标量函数满足K-增性的充分条件，继而建立了谱标量解集与欧几里德若当代数向量优化问题K-弱有效解集和K-有效解集的包含关系。

Meanwhile, the relationship between the trace scalar solution set and the Bo properly K—efficient solution set of the Euclidean Jordan algebra vector optimization problem is es- tablished.

同时，还建立了特殊谱标量解集——迹谱标量解集与Bo恰当K-有效解集的包含关系。

The Lagrange multiplier was firstly used for solving spectrum optimization problem with the interference factor.

首先，讨论了采用拉格朗日乘子求解带串扰项的频谱优化方法。

Aiming at the dual affects to classification results by each input data, this method has punish item be fuzzy, compensates weight to classification, reconstructs the optimization problem and its restrictions, reconstructs Langrage formula, and presents the theories deduction. This method is applied to the credit evaluating system of personal loan.

1引言支持向量机(Support Vector Machine，SVM)是20世纪90年代中期在统计学习理论(Statistical Learning Theory，SLT)的基础上提出的一种新的机器学习方法，它基于VC维理论和结构风险最小化原理，在很大程度上克服了传统机器学习中的维数灾难以及局部极小等问题[1，2]。

Furthermore, in order to overcome the disadvantage of GMC, i.e., it can only apply to the processes with relative order of 1, based on Lie derivative, we propose to let the r th derivative of the process output follow the given reference trajectory, to get the control law expression through solving an optimization problem.

针对GMC方法只适于相对阶r为1的简单过程的缺点，采用Lie导数的概念，令过程输出的r阶导数的轨迹为事先设定的标称轨迹，通过解优化问题得到控制律表达式，把GMC方法推广至相对阶r大于1的复杂多输入多输出过程，从而提出了一种广义一般模型控制方法。

With delivery trucks using genetic algorithms to solve the situation with a time limit distribution lines optimization problem.

采用遗传算法解决了合车送货与有时间限制情况下配送线路的优化问题。

But we don't care about Battlegrounds.

但我们并不在乎沙场中的显露。

Ah! don't mention it, the butcher's shop is a horror.

啊！不用提了。提到肉，真是糟透了。