本文用分片线性元离散椭圆型问题。用预处理共轭梯度法求解有限元方程。
In this paper, the elliptic problems are discreted by linear elements, the finite element system are solved by PCG method.
讨论了在一个时期内商品的订购价格有折扣，而且该商品的需求量是离散型随机变量的订购问题，得出了使利润最大化的最佳订购量的计算方法。
In a given period the seasonal goods can be ordered at a discount price, and the demand for the goods is an issue of discrete random variable.
对常用的几种评分方法进行了分析讨论，指出了用于离散型变量的预报评分存在的问题，并提出了一种新的预报技术评分方法。
Analyzing about the usual methods of score, pointing out the disadvantage of forecast score of discrete variables, a new method of forecast technic score(FTS) was bring forward.
该方法对差分演化算法的操作算子进行改进，解决了差分演化算法生成离散型测试数据的问题。
This method ameliorated the operators of DE algorithm to avoid the discrete test data generation based on DE algorithm.
讨论广义离散随机线性系统在二次型性能指标下的最优控制问题。
The optimal control problem for the discrete time stochastic singular systems with linear quadratic cost functional is discussed.
连续型属性的离散化问题是机器学习中的关键问题，是一个NP难题。
Discretization of continuous type of attributes is a key issue in machine learning, it is a NP puzzle.
结合一个给定的二次型性能指标，研究一类关联不确定离散大系统的分散保性能状态反馈控制器设计问题。
This paper focuses on the design problem of decentralized guaranteed cost state feedback controllers for a class of interconnected uncertain discrete-time systems and a given quadratic cost function.
摘 要：关联规则的发现是数据挖掘中的一个重要问题．但只是对离散型数据进行处理。
Absrtact: Disoovery of association rule is an important problem in database mining, but it is merely used to handle the discrete data.
利用广义逆理论和奇异值分解理论，研究离散型线性随机系统的综合控制设计问题。
This paper discusses the synthetical control designing problem for discrete linear stochastic systems with generalized inverse theory and the singular value decomposition theory.
目的研究和解决离散型线性时不变广义系统的正实控制问题。
The positive real control problem for the linear systems is considered in this paper.
离散型制造企业中产品组装的问题是布局和调度相结合在一起的复杂问题，目前国内外学者对其研究较少，要解决这一难题，还需要大量的工作。
Product assembling is a complicate problem combined layout and scheduling, and there are a few scholars study on it. It needs large Numbers of work to solve this difficult problem.
该方法基于半模糊核聚类算法挖掘不同类别之间的衔接和离散信息，设计树型支持向量机的树型结构，克服其差错积累问题。
The method mines information on overlap between classes, designs the tree structure and overcomes the misclassification of tree-structured SVMs based on the semi-fuzzy kernel clustering algorithm.
采用双层MDCP法离散组合型方法解决这一二重优化问题。
The double MDCP method was applied to solve the optimal problem.
论文首先对离散型制造企业中大型产品组装这个问题进行了分析，提出了解决问题的实用性和价值性；
First this paper analyzes the product assembling problem for large-scale product in discrete corporation, and then proposes the pressure and practicability of solving this problem.
数值型关联规则的算法大多是将多值属性关联规则挖掘问题转化为布尔型关联规则挖掘问题，而连续属性的离散化是数值型关联规则的核心问题。
Most quantitative association rules transform mining association rules of numeric property into boolean property, and the kernel problem is to divide the numeric data into intervals.
本文将进化算法引入飞机排班问题，研究并实现了基于离散型粒子群算法的飞机排班系统。
This thesis introduces Discrete Particle Swarm Optimizer (DPSO) Algorithm to solve the fleet assignment problem. Firstly, the characterization of the fleet assignment is analyzed.
本文将进化算法引入飞机排班问题，研究并实现了基于离散型粒子群算法的飞机排班系统。
This thesis introduces Discrete Particle Swarm Optimizer (DPSO) Algorithm to solve the fleet assignment problem. Firstly, the characterization of the fleet assignment is analyzed.
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