一类有理Bezier曲线的类de Casteljau算法及de Casteljau-型子分割

Bezier曲线的一个良好性质是 de Casteljau算法不仅可以用于升阶 ,而且可以用于子分割 .本文主要研究基于有理调配函数的一类有理 Bezier曲线的类 de Casteljau算法及 de Casteljau-型子分割方法 .第一部分从一类有理 Bezier曲线的递推关系出发 ,讨论这一类有理 Bezier曲线的类 de Casteljau算法 .第二部分给出了这一类有理 Bezier曲线的 de Casteljau-型子分割方法 .     

B—模糊集合代数和广义互信息公式

基于两种概率的区分，推导出了一个广义Shannon熵公式和一个广义互信息公式。后者和模糊性有关，并且柯用于语言和感觉中的信息度量。为了由原子语句为真的条件概率求出合语句为真的条件概率，提出了一个遵循存尔运算的模糊集合代数。所谓的模糊信息被还原为概率信息。新的理论在经典理论－概率论，集合论及Shannon信息论－的基础上容易理解。     

BRILL－NOETHER MATRIX FOR RANK TWO VECTOR BUNDLES

Lei X be an arbitrary smooth irreducible complex projective curve, E (?) X a rank two vector bundle generated by its sections. The author first represents E as a triple {D1,D2,f}, where D1 , D2 are two effective divisors with d = deg(D1) + deg(D2), and f ∈ H0(X, [D1] |D2) is a collection of polynomials. E is the extension of [D2] by [D1] which is determined by f. By using f and the Brill-Noether matrix of D1 + D2, the author constructs a 2g X d matrix WE whose zero space gives Im{H0(X,[D1]) (?) H0(X, [D1] |D1)}(?)Im{H0(X, E) (?) H0(X,[D2]) (?) H0(X,[D2] |D2)}. From this and H0(X,E) = H0(X, [D1]) (?) Im{H0(X, E) (?) H0(X, [D2])}, it is got in particular that dimH0(X, E) = deg(E) - rank(WE) + 2.     

A Comparison of Different Measures for Dynamical Event Mean Transverse Momentum Fluctuation

Various measures for the dynamical event mean transverse momentum fluctuation are compared with the real dynamical fluctuation using a Monte Carlo model. The variance calculated from the G-moments can reproduce the dynamical variance well, while those obtained by subtraction procedures are approximate measures for not very low multiplicity. Фpt, proposed by Gadzicki M and Mrowczynski S [Z. Phys. C 54 (1992)127], can also serve as an approximate measure after being divided by the square root of mean multiplicity.     

TC2模型与轻子味破坏过程l_i→l_jν_l_l

许多超出标准模型的新物理预言了非普适规范玻色子Z′的存在 .此粒子可产生许多新物理现象 .本文计算了顶色辅助的人工色 (TC2 )模型预言的非普适规范玻色子Z′对轻子味破坏 (LFV)衰变过程li→ljνl νl 的贡献 .结果表明 ,在整个参数空间内 ,过程τ± →ljντ ντ 的分支比比τ± →ljνl νl(l =μ ,e)的分支比大得多 .考虑实验测量值上限Brexp(μ→ 3e)≤ 1× 10 -12 对TC2模型的自由参数的限制 ,我们给出了一些轻子味破坏过程的上限 .在大部分参数空间中 ,分支比Br(τ± →ljντ ντ)～ 10 -6,Br(τ± →ljνl νl)～ 10 -9.这些结果可以用来部分地解释中微子振荡数据 ,将来的高能实验有可能探测到此新物理效应 .     

动态模糊随机信息处理的数学方法

本文系统地概述了我们近年来提出的动态模糊随机信息处理的数学方法,内容包括模糊随机变量、模糊随机过程和模糊随机微分方程的基本解法等方面的基本概念、基本定义和某些重要的定理,以及动态系统的模糊随机响应与可靠性分析的方法等。这些方法是为我们研究工程实际问题的需要逐步发展起来的,对于处理某些类型的问题简便实用。     

快速多极边界元法解的存在唯一性

本对求解3维弹性摩擦接触问题的快速多极边界元法(FM—BEM)在数学理论上作了深入探讨．首先，利用向量和子空间理论找出快速优化广义极小残余算法(GMRES(m))求解边界元方程组所满足的代数条件．使对工程用FM—BEM解的研究转化为对代数问题的讨论，然后．分三步证明了FM-BEM解的存在唯一性，为FM-BEM求解弹性摩擦接触工程问题提供强有力的数学支撑．     

球约束凸二次规划的一个新算法

首先利用Lagrange对偶 ,将球约束凸二次规划问题转化为无约束优化问题 ,然后运用单纯形法求解无约束优化问题 ,从而获得原问题的最优解     

Fuzzy Entropy： Axiomatic Definition and Neural Networks Model

The measure of uncertainty is adopted as a measure of information. The measures of fuzziness are known as fuzzy information measures. The measure of a quantity of fuzzy information gained from a fuzzy set or fuzzy system is known as fuzzy entropy. Fuzzy entropy has been focused and studied by many researchers in various fields. In this paper, firstly, the axiomatic definition of fuzzy entropy is discussed. Then, neural networks model of fuzzy entropy is proposed, based on the computing capability of neural networks. In the end, two examples are discussed to show the efficiency of the model.