不确定水声场随机多项式系数解法

基于非嵌入式随机多项式展开法求解了含不确定海洋环境参数的波动方程,推导了数值积分法求解多项式系数的过程.针对常规概率配点法不能准确计算随不确定输入量剧烈变化的传播损失,提出了分段概率配点法,将输入变量区间进行合理分段,基于非嵌入式随机多项式展开法获得每段的随机多项式,继而得到整个输入变量区间对应的传播损失表达式.结果表明,数值积分法仅适合于计算随单个不确定海洋环境参数不剧烈变化的传播损失,分段概率配点法可高精度计算随不确定输入量剧烈变化的传播损失.

关于随机函数的Weierstrass逼近定理

定义了随机系数多项式的概念之后,将函数的Weierstrass逼近定理推广到了随机函数上.

L_p范数下随机连续函数空间中的Weierstrass定理

通过概率方法对随机连续函数的多项式逼近性质进行了研究.借助随机Bernstein算子给出了Lp范数下随机系数多项式逼近的定性估计,进而推广了Weierstrass定理.

推广Jackson逼近阶定理

在随机函数的环境下,推广了经典函数逼近论中的Jackson逼近阶定理.建立了随机函数均方连续模的概念,并得到其有关性质后,研究了四种不同条件下随机函数被随机系数三角多项式逼近的阶之估计.

试卷结构的多维度研究:基于Rasch模型的视角

以在Rasch基础上拓展的多维随机系数多项式Logit模型(MRCMLM)为基础,对某高考数学试卷可能存在的三种能力维度模型进行验证性因素分析,最终确定了一种最佳的维度模型,并在该模型框架下进行多维试题分析。

Analysis of some large-scale nonlinear stochastic dynamic systems with subspace-EPC method

The probabilistic solutions to some nonlinear stochastic dynamic (NSD) systems with various polynomial types of nonlinearities in displacements are analyzed with the subspace-exponential polynomial closure (subspace-EPC) method. The space of the state variables of the large-scale nonlinear stochastic dynamic system excited by Gaussian white noises is separated into two subspaces. Both sides of the Fokker-Planck-Kolmogorov (FPK) equation corresponding to the NSD system are then integrated over one of the subspaces. The FPK equation for the joint probability density function of the state variables in the other subspace is formulated. Therefore, the FPK equations in low dimensions are obtained from the original FPK equation in high dimensions and the FPK equations in low dimensions are solvable with the exponential polynomial closure method. Examples about multi-degree-offreedom NSD systems with various polynomial types of nonlinearities in displacements are given to show the effectiveness of the subspace-EPC method in these cases.