随机游走和离散的倒向随机微分方程

本文研究了随机游走和离散的倒向随机微分方程。把随机游走到布朗运动的收敛推广到L^2情形；而且根据倒向随机微分方程的理论框架研究了离散的倒向随机微分方程，得到了离散的倒向随机微分方程解的存在唯一性和比较定理，这实际上给出了倒向随机微分方程的一种离散方法，为理论和实际研究提供了方便。     

两相同部件冷贮备可修系统半离散化的研究

利用半离散的方法将两相同部件冷贮备可修系统中的μ(x)进行离散,得到两个偏微分方程,进一步利用算子半群的理论证明离散后的解是收敛于原方程的解.     

Fuzzy值函数的Sugeno积分性质

在Fuzzy值函数的Sugeno积分基础上,研究了几乎处处收敛的Fuzzy值函数及其序列的积分收敛性,得到了一些新的积分性质．     

半参数回归模型的误差分布的估计的大样本性质

用分块多项式逼近 g0 ( ·) ,基于M估计 ,研究了半参数回归模型Yi =Xi′β0+ g0 (Ti) +ei,i =1 ,… ,n的误差e的密度f(u)的估计的大样本性质 .在一定条件下 ,证明了 ^fn(u)以概率收敛 ,几乎处处收敛 ,几乎一致收敛和收敛速度 .     

Convergence of logarithmic means of multiple Walsh-Fourier series

Norlund logarithmic means of multiple Walsh-Fourier series acting from space Llnd-1 L ([0, 1)d) ,d≥1 into space weak-L1([0,1)d) are studied. The maximal Orlicz space such that the Norlund logarithmic means of multiple Walsh-Fourier series for the functions from this space converge in d-dimensional measure is found.     

A note on some improvements of the simultaneous methods for determination of polynomial zeros

Applying Gauss-Seidel approach to the improvements of two simultaneous methods for finding polynomial zeros, presented in [9], two iterative methods with faster convergence are obtained. The lower bounds of the R-order of convergence for the accelerated methods are given. The improved methods and their accelerated modifications are discussed in view of the convergence order and the number of numerical operations. The considered methods are illustrated numerically in the example of an algebraic equation.     

准球面冲击波高压回收装置的研究

研究了以硝基甲烷液体炸药作为冲击波发生源的准球面汇聚冲击波超高压回收装置。在该装置上 ,利用冲击波由金属球体表面向中心汇聚形成的高压 ,对样品进行了冲击处理 ;分析了回收的金属球体内、外破坏情况及金相组织变化。结果表明 :该装置产生的球面冲击波对称性较好 ,样品回收可靠性较高 ;金属球体中心附近压力超过 2 0 7GPa ;对进行超高压冲击条件下的材料回收实验有较高的实用价值。     

关于高等数学中几个易错命题的举例说明

本文通过构造具体的典型例子对高等数学中的几个易错命题进行了阐述和说明.对无限多个无穷小量的和与积的性质进行了探讨,举例说明了无限多个无穷大量的乘积不一定是无穷大量.给出了无限乘积运算时仍然是无穷大量或无穷小量的充分条件.这有助于更好地理解无穷大量和无穷小量两个概念的本质内涵,也有助于认识无限运算和有限运算的根本差异.     

About Moore—Smith Convergence on l^＊—Module

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可行逐步二次规划方法解非线性方程组

We transform the system of nonlinear equations into a nonlinear programming problem, which is attacked by feasible sequential quadratic programming(FSQP) method.We do not employ standard least square approach.We divide the equations into two groups. One group, which contains the equations with zero residual,is treated as equality constraints. The square of other equations is regarded as objective function. Two groups are updated in every step.Therefore, the subproblem is updated at every step, which avoids the difficulty that it is required to lie in feasible region for FSQP.