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convex programming相关的网络例句

查询词典 convex programming

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

Using the information consistency principle, the first step of the algorithm transforms the identification problem into a constrained convex programming ,the result of which is then used ,in the second step, to approximate systems in the uncertainty set to obtain the identified nominal model based on a polynomial approximation theorem.

第一步通过信息一致性原理把辨识问题转化为受限凸规划问题,第二步利用一个多项式逼近定理在第一步结果基础上,对不确定集中的系数进行逼近,得到辨识出的名义模型。

With the algorithm analysis of the convex programming model, an optimization solution was achieved by way of illustration and sensitivity analysis of the result was given.

文章分析了模型的求解方法,通过实例的数据计算得到了最优化结果,并对结果进行了敏感性分析。

We analyze it theoretically, and convert it into two convex programming problems.

本文对这一非凸问题进行了详细的理论分析,并将这一问题转化为两个凸规划问题。

This paper presents a new optimized neural network for nonlinear convex programming problems with both quality and inequality constraints.

目的 为解决一类同时含有等式约束和不等式约束的混杂约束的非线性规划问题。

Chapter 2 studied Monte Carlo methods for solving three special classes of the stochas-tic smooth convex programming.

第2章研究了三种随机光滑凸规划问题的Monte Carlo近似法。

To confirm and expand the mass transit scale of a city is a complex nonlinear convex programming problem.

运用电力系统分析中的负荷持续时间曲线和盈亏平衡点理论对公交车辆规模和静态扩张问题进行了分析,建立了数学模型,并给出了相应的算法。

Chapter 3 studied Monte Carlo methods to four special classes of the stochastic non-smooth convex programming.

第3章研究了四种随机非光滑凸规划问题的Monte Carlo近似法。

Then for general convex programming problem with linear constraints, we developed affine scaling algorithm and prove its convergences.

接着我们对一般的线性约束下的凸规划问题,给出了相应的仿射尺度算法,并证明了算法的收敛性。

Firstly, we characterize the strong no-arbitrage and weak no-arbitrage in terms of some convex programming problem.

首先利用一个凸规划刻画了无套利条件,并讨论了无套利条件与状态价格向量之间的关系。

In first part it pays attention to theory study. Afterwards, based on linear programming, we introduce some properties of conic optimization and its dual problem, which are a kind of especial convex programming. In second part, we apply these theories to practice, such as least-squares problems, polynomial solution and approximating covariance matrices, and other aspects .

第一部分是理论研究:在线性规划的基础上重点介绍了一种特殊的凸规划类型——锥规划及其对偶锥规划,并介绍了锥规划及其对偶锥规划的发展及其性质。

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