三维坐标转换的两种方法及其比较研究

针对7参数法三维坐标转换问题,对比分析了传统的基于泰勒级数展开的线性模型转换方法和基于罗德里格矩阵的三维坐标转换方法.由于在基于罗德里格矩阵的转换方法中,不需进行三角函数的计算,也不需迭代计算,因而其计算速度更快;而且其解决了线性模型对旋转角大小的限制,不仅适用于小角度的空间直角坐标转换,也能用于大角度的空间坐标转换.实验结果也表明基于罗德里格矩阵的转换方法具有更好的适用性和更高的精度.  

The large deviations theorem and ergodicity

In this paper, some relationships between stochastic and topological properties of dynamical systems are studied. For a continuous map f from a compact metric space X into itself, we show that if f satisfies the large deviations theorem then it is topologically ergodic. Moreover, we introduce the topologically strong ergodicity, and prove that if f is a topologically strongly ergodic map satisfying the large deviations theorem then it is sensitively dependent on initial conditions.  

A three level linearized compact difference scheme for the Cahn-Hilliard equation

This article is devoted to the study of high order accuracy difference methods for the Cahn-Hilliard equation.A three level linearized compact difference scheme is derived.The unique solvability and unconditional convergence of the difference solution are proved.The convergence order is O(τ 2 + h 4 ) in the maximum norm.The mass conservation and the non-increase of the total energy are also verified.Some numerical examples are given to demonstrate the theoretical results.  

Correlation coefficients of hesitant fuzzy sets and their applications to clustering analysis

Hesitant fuzzy sets (HFSs), which allow the membership degree of an element to a set represented by several possible values, can be considered as a powerful tool to express uncertain information in the process of group decision making. We derive some correlation coefficient formulas for HFSs and apply them to clustering analysis under hesitant fuzzy environments. Two real world examples, i.e. software evaluation and classification as well as the assessment of business failure risk, are employed to illustrate the actual need of the clustering algorithm based on HFSs, which can incorporate the difference of evaluation information provided by different experts in clustering processes. In order to extend the application domain of the clustering algorithm in the framework of HFSs, we develop the interval-valued HFSs and the corresponding correlation coefficient formulas, and then demonstrate their application in clustering with interval-valued hesitant fuzzy information through a specific numerical example.  

Edge choosability and total choosability of planar graphs with no 3-cycles adjacent 4-cycles

Two cycles are said to be adjacent if they share a common edge. Let G be a planar graph without triangles adjacent 4-cycles. We prove that if Δ(G)≥6, and and if Δ(G)≥8, where and denote the list edge chromatic number and list total chromatic number of G, respectively.  

正规定则与重值

设■为区域D内的一亚纯函数族,ψ(≠0)为D内的全纯函数,k为正整数.如果对每个f∈■,有f(z)≠0,f~((k))(z)≠0及f~((k))(z)-ψ(z)的零点重级至少为(k+2)/k,则  

矩阵奇异值分解及其在高维数据处理中的应用

矩阵奇异值分解能够实现对高维数据的局部特征提取及维数约减,在智能信息处理和模式识别研究领域具有十分重要的应用价值.首先分析了高维数据处理所面临的困境,并对常用的降维算法进行简单的归纳总结;然后阐述了矩阵奇异值分解的基本原理及其在维数约减和数据压缩中的物理意义;接着通过分析两种建立在奇异值分解基础上的PCA与LSA降维算法的数学导出过程,进一步给出了两者的等价性证明;最后总结了矩阵奇异值分解的优缺点,并且预测了高维数据处理技术未来的发展趋势.  

Strong solutions for the generalized Perona-Malik equation for image restoration

In this paper we establish the existence and uniqueness of strong solutions for the generalized Perona-Malik equation of the fourth order for image restoration in dimension one.  

保险公司的最优投资策略选择

保险公司传统的投资模型只允许保险公司在保费收取与赔付之间的时滞范围内投资,即投资期间不收取保费也不允许任何赔付发生。本文研究的模型克服了传统模型的不足,投资期间可以收取保费也可以接受索赔。模型在保证保险公司实现目标收益的条件下,使得公司面临的风险最小。另外在模型中引进一个安全投资比例,即保险公司以此比例的财富用于风险投资是相对安全的。通过求解模型,得到保险公司的最优投资策略和风险最小情况下用于投资的财富的比率,并讨论了保费、索赔对投资的影响;另外还得到保险公司投资组合的有效边界,并讨论了有效边界的动态性质;最后用实际数据对保险公司如何选择安全投资比例、如何分配投资资金进行了模拟。