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稀疏矩阵库在电力系统潮流计算中的应用
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作者 吕翔 史春旻 《电工技术》 2007年第11期16-17,共2页
分析了电力系统计算中稀疏矩阵技术的应用;且利用SparseLib实现了电力系统的潮流计算程序,并通过IEEE-30和IEEE-118模型进行验证,分析了其优点和不足。
关键词 电力系统 稀疏矩阵库 潮流计算
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面向对象的可扩充向量与矩阵库
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作者 易志亮 马运良 《计算机应用》 CSCD 1994年第3期12-14,共3页
本文介绍了一种可扩充、可移植的向量与矩阵库,它利用面向对象语言C++开发,适用于不同数据类型的向量和矩阵运算。文章对该库的基本结构、主要特征及扩充途径作了简要描述,并用实例演示了基于该库的应用程序编写方法。
关键词 向量 面向对象 矩阵库
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MTL矩阵模板库
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作者 马维达 《程序员》 2004年第4期82-82,共1页
自构思时起,矩阵模板库(MTL)就一直有两个基础性目标:成为用于科学计算的全面、优雅、设计良好、高质量的可复用组件库。提供由供应者调谐的各种水平的性能。
关键词 MTL 矩阵模板 可复用组件 泛型编程
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并行稀疏系统直接求解库SuperLU_MT在状态估计中的应用 被引量:5
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作者 陈荃韡 龚成明 +2 位作者 赵晋泉 王毅 邹德虎 《电力系统自动化》 EI CSCD 北大核心 2017年第3期83-88,共6页
利用基于超节点LU分块分解算法、列消去树和多核多线程并行计算原理的并行稀疏系统直接求解库Super LU_MT实现电力系统状态估计,主要在求解迭代方程、不良数据检测辨识环节调用Super LU_MT实现加速。通过对电气与电子工程师协会(IEEE)... 利用基于超节点LU分块分解算法、列消去树和多核多线程并行计算原理的并行稀疏系统直接求解库Super LU_MT实现电力系统状态估计,主要在求解迭代方程、不良数据检测辨识环节调用Super LU_MT实现加速。通过对电气与电子工程师协会(IEEE)测试系统以及实际电网算例验证,表明通用的并行稀疏系统直接求解库适用于电力系统状态估计,能够获得较显著的并行计算效果,在多核计算机上缩短了状态估计的计算时间。 展开更多
关键词 电力系统状态估计 并行矩阵计算 超节点 LU分块分解 多核多线程并行计算
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柔性神经网络训练算法的研究 被引量:4
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作者 薛福珍 赵鑫 赵灿 《控制工程》 CSCD 2008年第6期665-668,共4页
针对经典BP网络训练速度慢、易陷入局部最小值而无法收敛的弱点,提出用具有高度柔性的柔性神经网络代替经典网络,并以矩阵作为基本运算单位导出了柔性神经网络训练的最速下降法和LM(Levenberg Marquard)算法。矩阵作为基本运算单位的优... 针对经典BP网络训练速度慢、易陷入局部最小值而无法收敛的弱点,提出用具有高度柔性的柔性神经网络代替经典网络,并以矩阵作为基本运算单位导出了柔性神经网络训练的最速下降法和LM(Levenberg Marquard)算法。矩阵作为基本运算单位的优点是可以用高效矩阵库LAPACK来编写程序,提高了数值计算的精度和速度。仿真结果表明了算法的有效性。 展开更多
关键词 柔性神经网络 最速下降法 LM算法 矩阵库
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一种改进的流程图相似度检索算法及实现 被引量:3
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作者 余兴华 仲梁维 《计算机应用研究》 CSCD 北大核心 2015年第11期3300-3303,3308,共5页
面对企业的大量业务流程管理问题,探究了基于Petri网对工作流模型的表达,对有向图邻接矩阵定义规则作了改进,成功地建立了描述流程模型间关系的邻接模型矩阵,对业务流程模型检索具有重要意义。在此基础上基于模糊理论的贴近度概念,计算... 面对企业的大量业务流程管理问题,探究了基于Petri网对工作流模型的表达,对有向图邻接矩阵定义规则作了改进,成功地建立了描述流程模型间关系的邻接模型矩阵,对业务流程模型检索具有重要意义。在此基础上基于模糊理论的贴近度概念,计算邻接模型矩阵间的相似度。为了更方便地存储流程模型,提出了模型矩阵库概念。通过实例证明了该算法在流程模型相似度检索方面的合理性和有效性。 展开更多
关键词 PETRI网 工作流 邻接矩阵 贴近度 矩阵库 相似度
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基于图像处理的车辆距离检测技术研究
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作者 张雪 《信息与电脑》 2018年第21期108-110,共3页
本文提出一种基于图像处理的新型车辆距离检测技术,以解决传统超声波车距检测误差大、盲区多等问题。采用同一参数的三目摄像头标定技术,运用区域匹配算法寻找共轭测量点,既能有效减少后期数据计算工作量,提升算法运行速度,又能减少目... 本文提出一种基于图像处理的新型车辆距离检测技术,以解决传统超声波车距检测误差大、盲区多等问题。采用同一参数的三目摄像头标定技术,运用区域匹配算法寻找共轭测量点,既能有效减少后期数据计算工作量,提升算法运行速度,又能减少目标测量盲区。利用双目视觉原理,建立距离测量矩阵库,并实时更新矩阵库模型,提高距离测量精度。实验结果表明,这个方法能较高精度检测出不同角度、不同位置目标间距离。 展开更多
关键词 图像处理 车距检测 测量盲区 矩阵库
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Matrix porosity calculation in volcanic and dolomite reservoirs and its application 被引量:7
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作者 Li Ning Wu Hongliang +4 位作者 Feng Qingfu Wang Kewen Shi Yujiang Li Qingfeng Luo Xinping 《Applied Geophysics》 SCIE CSCD 2009年第3期287-298,301,共13页
Matrix porosity calculations of fractured and vuggy reservoirs, such as volcanics and weathered dolomite, are one of the problems urgently needed to solve in well-log evaluation. In this paper, we first compare the an... Matrix porosity calculations of fractured and vuggy reservoirs, such as volcanics and weathered dolomite, are one of the problems urgently needed to solve in well-log evaluation. In this paper, we first compare the an empirical formula for porosity calculation from full diameter rhyolite core experiments with the matrix porosity formulas commonly used. We discuss the applicability of the empirical formula in fractured and vuggy reservoirs, such as intermediate-basic volcanics and weathered dolomite. Based on core analysis data, the error distribution of the calculated porosity of our empirical formula and the other porosity formulas in these reservoirs are given. The statistical error analysis indicates that the our empirical formula provides a higher precision than the other porosity formulas. When the porosity is between 1.5% and 15%, the acoustic experiment formula can be used not only for acidic volcanics but also in other fractured and vuggy reservoirs, such as intermediate-basic volcanics and weathered dolomite. Moreover, the formula can reduce the effects of borehole enlargement and rock alteration on porosity computation. 展开更多
关键词 POROSITY acoustic slowness VOLCANICS CARBONATES
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Principal Features of Building Social Accounts Matrix and Improving Statistical Database for Eco-countries
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作者 Vilayat Valiyev, Malik Mehdiyev +4 位作者 Arzu Suleymanov Elnur Alakbarov Rauf Musayev Elvira Nagoibaeva Natalya Zakharova 《Chinese Business Review》 2014年第10期611-623,共13页
With common borders of the population, total area, and GDP (PPP-based) of Economic Cooperation Organization (ECO) member states are estimated as 416 million persons, 7.9 million m2, and US$2.7 trillion respective... With common borders of the population, total area, and GDP (PPP-based) of Economic Cooperation Organization (ECO) member states are estimated as 416 million persons, 7.9 million m2, and US$2.7 trillion respectively (2010 data). Although heterogeneous in the extent, there is economic development, overall, with serious energy and transport-transit relations among countries that is reflected in growing trade turnover year-by-year. However, there are still rather unused resources and capacity in such areas of cooperation among countries as exchange of energy, transport services, agricultural and industrial goods, use of opportunities for tourism, promoting investment and innovation processes and other areas. Certainly, maximum and optimal use of these resources calls for availability of analytical means capable of accounting for relations both within member states and among them. The implementation of computable general equilibrium (CGE) modeling in each member state would thus be of great significance in resolution of these problems both in terms of accounting for input-output linkages within the countries as well as enabling impact of main trading partners and goods and services among countries. The analysis carried out indicates that there are a number of problems in application of CGE model in most of the member states. As such, input-output tables are not compiled in some countries, while in others despite the fact that these tables are compiled, there are no attempts to build the model, yet in other countries, even if the CGE model is implemented, there are difficulties in taking into account the real results in the face of serious problems related to improving national accounts system database. Summarizing these problems, it is possible to conclude that to ensure the application of a CGE model,there is a great need to work out procedures of compilation of a social accounts matrix (SAM) that lies on the basis of this model, for which the relevant statistics of a member state must be improved. Considering the above-mentioned, the presented research, makes procedures and proposals on compilation of SAM, improves statistical data for researching the extent of application of CGE Model in ECO member states, and identifies the degree of availability and organization of relevant data to develop input-output tables and respective SAM. 展开更多
关键词 social accounts matrix (SAM) system of national accounts (SNA) input-output table CGE model ECO countries
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A joint matrix minimization approach for multi-image face recognition 被引量:2
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作者 Liping Wang Aiwen Luo 《Science China Mathematics》 SCIE CSCD 2018年第7期1337-1352,共16页
The Schatten p-quasi-norm regularized minimization problem has attracted extensive attention in machine learning, image recognition, signal reconstruction, etc. Meanwhile, the l_(2,1)-regularized matrix optimization m... The Schatten p-quasi-norm regularized minimization problem has attracted extensive attention in machine learning, image recognition, signal reconstruction, etc. Meanwhile, the l_(2,1)-regularized matrix optimization models are also popularly used for its joint sparsity. Naturally, the pseudo matrix norm l_(2,p) is expected to carry over the advantages of both l_p and l_(2,1). This paper proposes a mixed l_(2,q)-l_(2,p) matrix minimization approach for multi-image face recognition. To uniformly solve this optimization problem for any q ∈ [1,2] and p ∈(0,2], an iterative quadratic method(IQM) is developed. IQM is proved to iescend strictly until it gets a stationary point of the mixed l_(2,q)-l_(2,p)matrix minimization. Moreover, a more practical IQM is presented for large-scale case. Experimental results on three public facial image databases show that the joint matrix minimization approach with practical IQM not only saves much computational cost but also achievez better performance in face recognition than state-of-the-art methods. 展开更多
关键词 pseudo matrix norm image set-based face recognition practical IQM
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