函数式语言中赋值语句（之二）

为了能够较好地处理函数式程序设计语言中的I/O问题,通过采用Monad方法将I/O加入到函数式程序设计语言中,来保持函数式程序设计语言的优点,本文探讨了在函数式I/O系统中加入赋值操作与其引用透明性的问题。     

一类捕食模型的动力学性质(英文)

讨论了具有一般形式的捕食模型■.通过对平衡点稳定性的分析,在不同条件下,判断出系统周期解的存在性和平衡点(k,0)的全局稳定性.     

产业结构调整的能源消费约束研究

基于协整理论,对我国三次产业产出与其能源消费的相关数据进行了分析和实证检验.研究表明：能源消费对我国产业结构调整存在长期与短期约束;我国产业结构的优化升级并未带来人们预期的产业能源消费弹性下降,其主要原因是第三产业的能源消费弹性大,第三产业、第二产业内部结构不合理所至.在未来的产业结构调整中应通过科学制定和实施国家产业政策、坚持走新型工业化道路等来实现我国产业结构的高度化以及与能源消费的协调一致.     

低温下的一维各向异性海森堡反铁磁体的磁性质

利用自旋波理论的方法研究了自旋S=1／2的一维各向异性海森堡反铁磁体的磁性质,推导得到了内能和比热与温度的关系：U（T）～Tα和Cm（T）～Tβ,同时研究还得出指数仅,届与各向异性参数、内磁场的关系．在零温和零磁场的条件下,计算得到基态能量和长程序,得出在各向异性参数值小于1时,长程序的值不会消失．在各向同性的情况下,长程序的结果与各向同性链模型的结果一致．     

基于强化局部特征的3D点云分类与分割网络

在点云的处理过程中,许多深度学习网络未能充分考虑局部点之间的复杂关系,导致大量空间几何信息丢失。针对该问题,提出了一个强化局部特征的网络,用于点云的目标分类和语义分割。该网络通过设计编码单元对点的多方向信息进行编码;通过注意力机制学习采样分组后形成局部点云的特征。同时提出了一种新的多维损失函数,结合使用交叉熵损失函数与中心损失函数作用于分类任务。在数据集ModelNet40和ScanNet上进行了大量实验,结果表明：该网络在点云的目标分类和语义分割任务上表现出较好的性能。     

Predicting the signs of forecast errors

The signs of forecast errors can be predicted using the difference between individuals' forecasts and the average of earlier forecasts of the same variable. It is possible to improve forecasts without worsening any. It is difficult to reconcile this result with the rational expectations hypothesis because the average of earlier forecasts is in the information set of the forecasters. Copyright © 2009 John Wiley & Sons, Ltd.     

基于市场机制的网格资源分配策略研究

网格资源的分配策略是网格资源管理体系的核心,它决定了该体系对资源的组织能力和分配能力,体现了网格资源管理体系管理的有效性和服务质量的优劣性.本文从市场的角度入手,把网格资源的供需方比拟为市场中的买卖方,引入柯布-道格拉斯效用函数,用数学方法具体分析了在时间和费用需求的保障前提下,供需方最优的资源出价.此决算方法给网格资源分配提供了科学的依据,是市场机制下实现网格资源分配策略的核心.     

Stochastic stability of quasi-integrable Hamiltonian systems with time delay by using Lyapunov function method

The asymptotic Lyapunov stability of one quasi-integrable Hamiltonian system with time-delayed feedback control is studied by using Lyapunov functions and stochastic averaging method. First, a quasi-integrable Hamiltonian system with time-delayed feedback control subjected to Gaussian white noise excitation is approximated by a quasi-integrable Hamiltonian system without time delay. Then, stochastic averaging method for quasi-integrable Hamiltonian system is used to reduce the dimension of the original syst...     

Fantastic Beasts and where (not) to find them: Local gravitational energy and energy conservation in general relativity

This paper critically examines energy-momentum conservation and local (differential) notions of gravitational energy in General Relativity (GR). On the one hand, I argue that energy-momentum of matter is indeed locally (differentially) conserved: Physical matter energy-momentum 4-currents possess no genuine sinks/sources. On the other hand, global (integral) energy-momentum conservation is contingent on spacetime symmetries. Local gravitational energy-momentum is found to be a supererogatory notion. Various explicit proposals for local gravitational energy-momentum are investigated and found wanting. Besides pseudotensors, the proposals considered include those of Lorentz and Levi-Civita, Pitts and Baker. It is concluded that the ontological commitment we ought to have towards gravitational energy in GR mimics the natural anti-realism/eliminativism towards apparent forces in Newtonian Mechanics.     

The effect of target function on the predictive performance of the two‐stage ridge estimator

The main thrust of this study is to consider the problem of simultaneous prediction of actual and average values of the simultaneous equations model through the target function of Shalabh (Bulletin of International Statistical Institute, 1995, 56, 1375–1390). We focus on the predictive performance of the two‐stage ridge estimator with the motivation for eliminating the disorder arising from multicollinearity. An optimal biasing parameter of the two‐stage ridge estimator is derived by a minimization process of prediction mean square error. In addition, an optimal estimator for the weight of observed value in target function is attained theoretically. The results inferred from a numerical example and a Monte Carlo experiment provide a dramatic improvement in the predictive ability of the two‐stage ridge estimator.