利用对称性、奇偶性求积分

对称积分区域以及被积函数有与之相匹配的奇、偶性的积分，均可用对称性简便计算。     

Interval Time Series Analysis with an Application to the Sterling-Dollar Exchange Rate

Traditional econometrics has long employed ＂points＂ to measure time series data. In real life situations, however, it suffers the loss of volatility information, since many variables are bounded by intervals in a given period. To address this issue, this paper provides a new methodology for interval time series analysis. The concept of ＂interval stochastic process＂ is formally defined as a counterpart of ＂stochastic process＂ in point-based econometrics. The authors introduce the concepts of interval stationarity, interval statistics （including interval mean, interval variance, etc.） and propose an interval linear model to investigate the dynamic relationships between interval processes. A new interval-based optimization approach for estimation is proposed, and corresponding evaluation criteria are derived. To demonstrate that the new interval method provides valid results, an empirical example on the sterling-dollar exchange rate is presented.     

用数理统计方法改进中位数公式

本文针对组距式资料的中位数计算进行了讨论,指出了传统公式的不足,改进了中位数位置的确定标准,提出了用均匀分布次序统计量的数学期望来估算中位数的方法,并在此基础上推导出新的中位数计算公式。     

包含Lucas序列的无穷级数和

利用一些函数的Fourier级数展开式求出了包含Lucas序列的若干无穷级数和.     

存在内部势Cx~n的一维无限深势阱问题的节点法

介绍用节点法求解存在内部势Ｃｘｎ的一维无限深势阱问题的物理原理，给出了该问题的数值结果，证实用节点法解决存在内部势Ｃｘｎ的一维无限深势阱问题比用变分法和微扰法的精度更高，方法更简便．     

论正当防卫

通过对正当防卫的概念、历史、特征等法律问题进行评析,并阐述正当防卫的必要限度,从而提出关于正当防卫在司法实践中如何正确运用的相关问题,且对正当防卫制度的完善提出了自己的观点。     

闭区间[nk,(n+1)k]内的几何数列

对于正整数n和k,设F(n,k)是闭区间[nk,(n 1)k]内所有正整数的集合,又设a1,a2,…,ak 1.是F(n,k)中适合a1＜a2＜…＜ak 1的k 1个数.证明了:当且仅当ai=nk-i 1(n 1)i-1(i=1,2,…,k 1)时,a1,a2,…,ak 1构成几何数列.     

无穷区间上向量值函数(H)积分的收敛定理

通过对无穷区间上向量值(H)可积函数列积分运算与极限运算可交换条件的讨论,引进了等度(H)可积、一致(H)可积的概念;给出了无穷区间上向量值(H)可积函数列逐项可积的条件.     

灰色多属性决策的模糊互补判断矩阵排序方法

以灰色系统理论的思想和方法为基础,探讨了决策方案的属性值为区间灰数的灰色多属性决策问题,提出了解决这种灰色决策问题的决策方法.根据区间灰数的本质特征,首先定义了两区间灰数的新的相离度和构建了基于相离度的灰色区间关联系数公式与灰色区间相时关联系数公式;其次通过引入方案间优势度和优势度比较矩阵概念及其计算公式,证明了方案间优势度比较矩阵为模糊互补判断矩阵,从而给出了方案的排序.实例分析说明了所提出的灰色决策方法的合理性及其算法的有效性.     

Rough function model and rough membership function

Two pairs of approximation operators, which are the scale lower and upper approximations as well as the real line lower and upper approximations, are defined. Their properties and antithesis characteristics are analyzed. The rough function model is generalized based on rough set theory, and the scheme of rough function theory is made more distinct and complete. Therefore, the transformation of the real function analysis from real line to scale is achieved. A series of basic concepts in rough function model including rough numbers, rough intervals, and rough membership functions are defined in the new scheme of the rough function model. Operating properties of rough intervals similar to rough sets are obtained. The relationship of rough inclusion and rough equality of rough intervals is defined by two kinds of tools, known as the lower （upper） approximation operator in real numbers domain and rough membership functions. Their relative properties are analyzed and proved strictly, which provides necessary theoretical foundation and technical support for the further discussion of properties and practical application of the rough function model.