算法化

To overcome the shortcomings of existing algorithms, the distributed parallel reactive power optimization algorithm based on sub-area division of the power systems is proposed according to the distributed and decentralized charac

针对目前无功电压优化算法存在的不足，根据电力系统分布、分散的特点，提出了基于电网分区的分布式并行无功优化算法，并对其进行了多目标、软约束的模糊化处理和离散控制变量的罚函数处理，利用直接非线性原—对偶内点法寻优求解。

In this paper a discretization algorithm based on importance of cut point. Firstly, the paper gives some concept of rough set theory:decision table,indiscernible relation,information entropy and condition entropy.

粗糙集理论可以用在数据挖掘的各个阶段，该文研究了粗糙集理论在数据挖掘的数据离散化阶段的应用，并提出了一个新的决策表离散化算法。l 基本概念及离散化问题的描述定义1 。

Note that regularized problems are usually defined in an infinite setting and have to be discTetized for an implementation and there have been many comparatively adult methods of calculating singular system. Therefore, there is no need to avoid the calculation of singular system in inverse problems calculating of numeric value. Here TSVD Regularization Method is very simple and quite effective one.

考虑到反问题的数值计算需要将问题离散化，化为有限维的问题来进行处理，而对于有限维算子的奇异系的计算已经有了相当成熟的各种算法，因此在反问题的数值计算中没有必要避开奇异系的计算，此时TSVD正则化方法是十分简单并相当有效的正则化方法。

In this paper, an iterative approach to potential field continuation from curved surface to plane is proposed. The continuation of potential field data from a curved surface to a plane can be viewed as an inverse problem of upward continuation of plane potential field data, getting a linear integral equation. Through viewing the potential field data on the curved surface as the data on the average elevation plane of the curved surface, then using the wavenumber domain generalized inverse algorithm to downward continue the data from the average elevation plane to a given plane, and a topography correction based on the change of curved surface relative to its average elevation is implemented to the downward continued data on the given plane, finally the downward continued data plane is upward continued to the curved surface.

本文提出一种位场数据曲化平的迭代方法，即通过把位场数据曲化平视为平面位场数据向上延拓的反问题，得到曲化平的线性积分方程，再把曲面上位场数据视为曲面平均高程面上的位场数据，利用向下延拓的波数域广义逆算法把平均高程面上的位场数据向下延拓到设定平面上，再根据曲面和其平均高程面的相对起伏对设定平面上的向下延拓数据进行起伏校正，最后再把所得平面上的位场数据向上延拓得到曲面上的位场数据，并进行迭代。

The main achievements of this dissertation are as follows: Let W be a nonsingular matrix. 1. Problem I and Problem II are considered under the matrix set S is as the following: 1 the set of real W-symmetrizable matrices; 2 the set of real W-symmetrizable nonnegative definite matrices; 3 the set of real W-symmetrizable matrices on the linear manifold.

对于问题I和问题II，本文就S是W可对称化矩阵集合、W可对称非负定化矩阵集合以及线性流形上W可对称化矩阵集合等三种情况进行了研究，分别给出了这三种情况下问题I的解存在的充分必要条件，以及解集合的通式表达式，给出了这三种情况下的最佳逼近解，并提供了相应的数值算法和数值实例。

The nested parametric graphics and the hidden-line-remove algorithms are developed to support the parametric assembly representation.

提出的参数化图形多层嵌套、消隐区概念和参数化图形的二维动态消隐算法，能方便地支持产品装配图的参数化表示。

The paper simplifies the joint diagonalization of matrices into optimization problem which only includes the eigen matrix. For solving the problem conveniently, each row vector of the eigen matrix is parameterized, then utilizes the improved genetic algorithm to get the optimal parameter.

摘要该文首先将矩阵联合对角化问题化简成一个只含有特征矩阵的优化问题，为了便于求解，文中将待求特征矩阵的每一列向量进行参数化处理，并利用改进的遗传算法寻找最优的新参数。

In the case of study, the better fittable algorithm of volume visualization is selected in accordance with the analysis of the software.

三维可视化是科学计算可视化和三维GIS密切联系的纽带，本文综述该方面的发展趋势，研究了两大类三维数据场可视化算法：表面拟合方法(Surface-fitting method)和直接体绘制(Direct Volume Rendering，DVR)。

Each function and designing of these modules is explained in detail in the paper. For the aspect of software system, this paper designs modes of data transmission between AD1885 and ADSP-BF531, such as Slot-16 and DMA. Besides, it finishes the initialization of paragram, including configuring SPORT, DMA and interrupt.

在软件系统设计方面，本文设计了AD1885与ADSP-BF531之间通信的Slot-16模式和DMA传送方式以及系统启动程序，完成了程序初始化设置，包括SPORT0的初始化、DMA的初始化和中断设置，并设计了Codec测试过程以及ASSR信号的采样算法。

Fuzzy neural network is used in the three phase adaptive reclosure so that the reclose of permanent faults can be avoided. A multi-input fuzzy neural network is constructed and the algorithm of network is designed. Taking the virtual value of three phase voltage as the input with its scale changed, the network learning can be completed with convergence reached after the process of fuzzification, normalization and perspicuity, so it can disinguish transient faults from permanent faults.

为了避免重合闸重合于永久性故障，将模糊神经网络应用于三相自适应重合闸中，构造了一个多输入的模糊神经网络，设计了网络的算法，将三相端压有效值作为输入，经尺度变换、模糊化、归一化和清晰化，并利用梯度下降法修正误差，使得网络完成学习并最终收敛，在输入故障数据时能根据网络的输出结果准确地判别瞬时性故障与永久性故障。

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。