动力系统实测数据的非线性混沌特性的判定

本文利用相位随机化的替代数据方法，给出了一个对动力系统实测时间序列数据的特性进行判定的方法·计算结果表明：相位的充分随机化可提高判别的准确程度·把此判据用于随机时序与非线性混沌时序所得的判据值有明显的差异·     

基于概率的保持前缀地址随机化算法的安全评估

地址随机化算法通常用于在发布流量数据之前进行去隐私处理.保持前缀地址随机化算法就是其中一个常用算法.对于保持前缀地址随机化算法而言,由于引入了更多的限制,因此也面临更多的安全风险.分析了相关性攻击对保持前缀地址随机化算法的安全影响,并利用概率分析和仿真评估了不同攻击方法对其安全性能的影响.     

基于评价信息随机化的群体评价方法与应用

针对群体评价中共识集结的相关问题,从仿真的视角讨论了评价信息随机化的群体共识聚合求解方法。首先,面向实数类型的评价信息,将精确性的数据给予一定的宽松性处理,进一步结合正态分布的3σ原则,利用随机模拟的方式集结出带有概率特征的可能性排序;其次,面向区间数类型的评价信息,整合出各子区间发生概率不同的区间数评价信息,在充分随机模拟的情况下,给出了带有优胜概率特征的可能性排序。最后,通过相应的算例进行求解分析,说明了该方法的可行性和有效性。基于群体共识视角,针对实数和区间数两种类型的评价信息,分别进行相应的随机化处理,并为进一步探索区间数的分布形式提供了一种新的研究思路。     

一类金融系统行为的非线性混沌分析

利用相位随机化的替代数据方法对中国商品期货市场某些品种特性进行了判定,此方法用于随机时序与非线性混沌时序所得的判据值有明显差异.并应用混沌时序的奇异值分解技术对混沌时序的噪声进行了剥离,将相空间分解为值域空间和虚拟的噪声空间,在值域空间内重构了原混沌时序.进一步采用建立在改进的一般约束随机化方法基础之上强扰动的方法再次判定.根据计算结果对商品期货市场的走势进行了分析,结果表明中国商品期货市场是具有明显非线性混沌特性的一类复杂非线性混沌系统.     

基于粒子滤波的随机元胞自动机城市用地扩张模型研究

用数据同化的方法对元胞自动机模型结构及参数进行确认和校准,包括将模型潜在模型权重和相关参数随机化处理,通过粒子滤波方法进行顺序数据同化,以贝叶斯理论为基础对系统进行更新,得出模型后验分布,以此模拟城市扩张系统随时间的变迁规则.以武汉市前川镇为例,根据经验选择5个潜在因子,按上述模型进行实验模拟,结果显示,离中心城区距离和坡度为城市扩张影响最大因子,而离道路的距离为最小影响因子.最后用系统最大似然分布模拟2013年前川镇城镇用地概率图.     

适应于纵数据的随机效应模型中参数的局部影响诊断

本根据纵数据既包含个体又包含个体不同状态的特点，针对适应于纵数据的随机效应模型提出两种便于合理分析数据的扰动方案，并给出扰动对参数估计局部影响的各种计算公式和寻找影响点的方法。通过对Ｃａｍｂｒｉｄｇｅ过滤嘴中提取尼古丁含量的实验室间数据进行分析表明我们的分析结果不但包含了以前许多学用不同的方法对这组数据所进行的所有有关影响点方面的分析结果，而且还获得了一些新的结果。     

分组数据的Bayes分析—Gibbs抽样方法

分组数据是可靠性试验中常见的一类不完全数据，由于似然函数比较复杂使Bayes分析很困难。本文利用Gibbs抽样方法，对分组数据的Bayes分析就容易实现，在寿命分布是威布尔分布情形，本文还给出了Gibbs抽样和Metropolis算法杂合的抽样方法，最后还讨论了Gibbs抽样方法的一些特点，并通过一些模拟结果对现有的几种处理分组数据的方法进行了比较。     

用类同余法产生随机数及其检验

模拟随机过程的各种模型都需要用到大量随机数 ,而各种分布的随机样本又可以由U(0 ,1)来产生 ,所以如何产生性能好、成本低、使用方便的随机数具有重要意义。本文介绍了一种随机数的产生方法并对其进行了严格的检验。     

具有相位阻尼的Milburn主方程控制的双光子JC模型

该文利用超算子技术求出了相位阻尼下非共振双光子JC模型主方程的解析解，研究了其相位阻尼对光子数分布振荡，原子数反转与恢复和亚泊松光子分布等非经典效应的影响。研究表明：相位阻尼能抑制原子反转与恢复和腔场的非经典效应。     

医学实验数据的质量控制问题

当医学中某些实验观察数据是在不同的稀释度之下得到时 ,为了确保观察数据的质量 ,不同稀释度之下的观察数据必须相互匹配。本文提出了一套在不同的稀释度之下数据质量控制的方法。模拟结果显示 ,本文提供的方法效果很好。     

Bifurcation of a Modified Leslie-Gower System with Discrete and Distributed Del

A modified Leslie-Gower predator-prey system with discrete and distributed delays is introduced. By analyzing the associated characteristic equation, stability and local Hopf bifurcation of the model are studied. It is found that the positive equilibrium is asymptotically stable when $\tau$ is less than a critical value and unstable when $\tau$ is greater than this critical value and the system can also undergo Hopf bifurcation at the positive equilibrium when $\tau$ crosses this critical value. Furthermore, using the normal form theory and center manifold theorem, the formulae for determining the direction of periodic solutions bifurcating from positive equilibrium are derived. Some numerical simulations are also carried out to illustrate our results.     

Dynamics of the logistic delay equation with a large spatially distributed control coefficient

The local dynamics of the logistic delay equation with a large spatially distributed control coefficient is asymptotically studied. The basic bifurcation scenarios are analyzed depending on the relations between the parameters of the equation. It is shown that the equilibrium states can lose stability even for asymptotically small values of the delay parameter. The corresponding critical cases can have an infinite dimension. Special nonlinear parabolic equations are constructed whose nonlocal dynamics determine the local behavior of solutions to the original boundary value problem.     

Local dynamics of a spatially distributed logistic equation with delay and large transport coefficient

We study the behavior of all solutions in some sufficiently small neighborhood of the positive equilibrium of the spatially distributed Hutchinson equation with diffusion and advection. On the basis of the method of invariant integral manifolds and the method of normal forms, we consider the dynamics for the case critical in the problem on the stability of the stationary solution. We show that, for a sufficiently large value of the transport (advection) coefficient, the critical case has infinite dimension. We construct a quasinormal form, which is a nonlinear parabolic boundary value problem with a deviation in the space variable and which plays the role of a normal form; i.e., its nonlocal dynamics defines the local dynamics of the original equation. Secondary bifurcations in the quasinormal form are considered for the case close to the critical case in the problem on the stability of the stationary solution.     

Estimation of partially specified spatial panel data models with random-effects

In this article, we study estimation of a partially specified spatial panel data linear regression with random-effects. Under the conditions of exogenous spatial weighting matrix and exogenous regressors, we give an instrumental variable estimation. Under certain sufficient assumptions, we show that the proposed estimator for the finite dimensional parameter is root-N consistent and asymptotically normally distributed and the proposed estimator for the unknown function is consistent and asymptotically distributed. Consistent estimators for the asymptotic variance-covariance matrices of both the parametric and unknown components are provided. The Monte Carlo simulation results verify our theory and suggest that the approach has some practical value.     

On the Dirac delta as initial condition for nonlinear Schrödinger equations

In this article we will study the initial value problem for some Schrödinger equations with Dirac-like initial data and therefore with infinite L² mass, obtaining positive results for subcritical nonlinearities. In the critical case and in one dimension we prove that after some renormalization the corresponding solution has finite energy. This allows us to conclude a stability result in the defocusing setting. These problems are related to the existence of a singular dynamics for Schrödinger maps through the so-called Hasimoto transformation.     

A mesh simplification strategy for a spatial regression analysis over the cortical surface of the brain

We present a new mesh simplification technique developed for a statistical analysis of a large data set distributed on a generic complex surface, topologically equivalent to a sphere. In particular, we focus on an application to cortical surface thickness data. The aim of this approach is to produce a simplified mesh which does not distort the original data distribution so that the statistical estimates computed over the new mesh exhibit good inferential properties. To do this, we propose an iterative technique that, for each iteration, contracts the edge of the mesh with the lowest value of a cost function. This cost function takes into account both the geometry of the surface and the distribution of the data on it. After the data are associated with the simplified mesh, they are analyzed via a spatial regression model for non-planar domains. In particular, we resort to a penalized regression method that first conformally maps the simplified cortical surface mesh into a planar region. Then, existing planar spatial smoothing techniques are extended to non-planar domains by suitably including the flattening phase. The effectiveness of the entire process is numerically demonstrated via a simulation study and an application to cortical surface thickness data.     

Hopf bifurcations in a predator–prey system with a discrete delay and a distributed delay

A delayed Lotka–Volterra two-species predator–prey system with discrete hunting delay and distributed maturation delay for the predator population described by an integral with a strong delay kernel is considered. By linearizing the system at the positive equilibrium and analyzing the associated characteristic equation, the asymptotic stability of the positive equilibrium is investigated and Hopf bifurcations are demonstrated. It is found that under suitable conditions on the parameters the positive equilibrium is asymptotically stable when the hunting delay is less than a certain critical value and unstable when the hunting delay is greater than this critical value. Meanwhile, according to the Hopf bifurcation theorem for functional differential equations (FDEs), we find that the system can also undergo a Hopf bifurcation of nonconstant periodic solution at the positive equilibrium when the hunting delay crosses through a sequence of critical values. In particular, by applying the normal form theory and the center manifold reduction for FDEs, an explicit algorithm determining the direction of Hopf bifurcations and the stability of bifurcating periodic solutions occurring through Hopf bifurcations is given. Finally, to verify our theoretical predictions, some numerical simulations are also included at the end of this paper.     

Bifurcations in a human migration model of Scheurle-Seydel type-II: Rotating waves

This paper treats the conditions for the existence of rotating wave solutions of a system modelling the behavior of students in graduate programs at neighbouring universities near each other which is a modified form of the model proposed by Scheurle and Seydel. We assume that both types of individuals are continuously distributed throughout a bounded two-dimension spatial domain of two types (circle and annulus), across whose boundaries there is no migration, and which simultaneously undergo simple (Fickian) diffusion. We will show that at a critical value of a system-parameter bifurcation takes place: a rotating wave solution arises.     

On the approach to the critical solution in leading order thin-film coating and rimming flow

The approach to the critical solution in leading order coating and rimming flow of a thin fluid film on a uniformly rotating horizontal cylinder is investigated. In particular, it is shown that the weight of the leading order “full film” solution approaches its critical maximum value with logarithmically infinite slope as the volume flux approaches its critical value.     

Optimal Space Distributed Order-Preserving Lists

A move-to-front list is a distributed data object that provides an abstraction of a temporal ordering on a set of processes in a distributed system. We present a lower bound and a matching upper bound of Θ(log²n) bits on the space per processor needed to implement such a list using single-writer multiple-reader registers. A generalization is also discussed.