模糊相似选择的maxmin算法及其在苎麻织物风格评定中的应用

本文给出了模糊相似选择的maxmin算法,开运用模糊相似选择的理论,对若干苎麻织物风格作了评定。     

COMPUTER-AIDED CONSTRUCTION OF SMALL (M, S)-OPTIMAL INCOMPLETE BLOCK DESIGNS

A new exchange algorithm for the construction of (M, S)-optimal incomplete block designs (IBDS) is developed. This exchange algorithm is used to construct 973 (M, S)-optimal IBDs (v, k, b) for v= 4,…,12 (varieties) with arbitrary v, k (block size) and b (number of blocks). The efficiencies of the “best” (M, S)-optimal IBDs constructed by this algorithm are compared with the efficiencies of the corresponding nearly balanced incomplete block designs (NBIBDs) of Cheng(1979), Cheng & Wu (1981) and Mitchell & John(1976).     

A fast general extension algorithm of Latin hypercube sampling

A fast general extension algorithm of Latin hypercube sampling (LHS) is proposed, which reduces the time consumption of basic general extension and preserves the most original sampling points. The extension algorithm starts with an original LHS of size m and constructs a new LHS of size m?+?n that remains the original points. This algorithm is the further research of basic general extension, which cost too much time to get the new LHS. During selecting the original sampling points to preserve, time consumption is cut from three aspects. The first measure of the proposed algorithm is to select isolated vertices and divide the adjacent matrix into blocks. Secondly, the relationship of original LHS structure and new LHS structure is discussed. Thirdly, the upper and lower bounds help reduce the time consumption. The proposed algorithm is applied for two functions to demonstrate the effectiveness.     

需求响应下解决交叉补贴的阶梯电价方案研究——基于社会福利最大化视角

我国电价交叉补贴问题非常严重，其无论从经济效率还是公平上而言都是不合理的，必须尽快解决。通过对现行电价政策分析，阶梯电价政策可以解决交叉补贴问题，但现行方案效果不明显，因此需要调整。不仅如此，由于各档次用户对电价变化的需求响应程度存在差异，调整阶梯电价来解决交叉补贴的方案有许多，故存在一个社会福利最大化的解决方案。本文以社会福利最大化为目标，调整各档用户的电价，同时引入拉格朗日函数，设计出最优解决交叉补贴问题的阶梯电价方案，得到各档相应的电价比值。结果表明，当分档电价比值为1：1.62：2.41时社会福利存在极大值，此时阶梯电价方案是众多方案中的最优方案，社会福利全年增加约为702.00亿元。此方案在解决交叉补贴问题的基础上还兼顾了用户间公平和承受能力，对当前电价改革具有重要参考价值。     

关于由方块图求传递函数的教学研究

介绍了由方块图求传递函数的简单易行的教学方法,并通过实例分析论证了方块图简化的基本方法和原则,得出了由方块图简化求传递函数步骤,可供同行进一步研究作参考.     

D-1-Partially efficiency-balance designs with at most two efficiency classes

A wide class of block designs admitting a simple analysis has been considered. The statistical properties of such designs have been indicated and the problems relating to their characterization and construction have been investigated.     

Constructing 1-rotational NRDFs through an optimization approach: new (46,9,8), (51,10,9) and (55,9,8)-NRBDs

In this paper we formulate the problem of constructing 1-rotational near resolvable difference families as a combinatorial optimization problem where a global optimum corresponds to a desired difference family. Then, we develop an algorithm based on scatter search in conjunction with a tabu search to construct many of these difference families. In particular, we construct three new near resolvable difference families which lead to an equal number of new 1-rotational near resolvable block designs with parameters: (46,9,8), (51,10,9) and (55,9,8). Our results indicate that this conjunction outperforms both scatter search and tabu search.     

耐温耐盐聚合物堵剂的制备及性能研究

针对高温高矿化度地质条件特点，合成了对苯乙烯磺酸钠–2–丙烯酰胺基–2–甲基丙磺酸–膨润土聚合物堵剂。采用不同浓度盐溶液、使用温度及时间评价其耐盐耐温性能，优化了携带液体系，采用岩芯模拟实验考察堵剂封堵效果及耐冲刷性能。结果表明：该堵剂在80130 ℃恒温放置60 d 后树脂的吸水率和强度基本保持不变，树脂耐温性能良好；在质量分数30% 的模拟盐水溶液中吸水率仍可达12.00 g
g..1，树脂的耐盐性能良好；树脂在含水40% 的乳化油中3 h 不膨胀；岩芯实验测定聚合物堵剂在高渗和中渗通道中封堵率达到99.96% 和96.41%，经30 PV 水长期冲刷封堵率仍可达95.12% 和94.43%。     

关于加权广义逆的三个矩阵乘积的不变性

利用矩阵D-AXC的最大最小秩,给出了矩阵AXC的乘积、秩以及值域的不变性,其中X为矩阵B的各种加权广义逆.     

Computational Examples of a New Method for Distribution Selection in the Pearson System

A considerable problem in statistics and risk management is finding distributions that capture the complex behaviour exhibited by financial data. The importance of higher order moments in decision making has been well recognized and there is increasing interest in modelling with distributions that are able to account for these effects. The Pearson system can be used to model a wide scale of distributions with various skewness and kurtosis. This paper provides computational examples of a new easily implemented method for selecting probability density functions from the Pearson family of distributions. We apply this method to daily, monthly, and annual series using a range of data from commodity markets to macroeconomic variables.