复杂金融产品设计与仿真技术综述与展望

针对复杂产品设计问题和方法学，扩展了复杂产品的定义。提出了金融产品为复杂非实体产品（Complex Non-entity Product，CNP）的概念，其质量由产品的风险特性决定。比较有关复杂实体产品设计研究领域的理论、方法学及研究现状，给出了CNP设计的方法和仿真技术的发展及研究方向。     

科学与理性

编者按:本栏摘登了由青年学者刘华杰博士主持的关于"敬畏自然"话题讨论的部分内容.这个话题,自从印度洋海啸发生之后引起了我国学术界人士的普遍关注,并在某些报刊上展开了热烈的讨论.这里刊发的是四位青年学者从文化层面对"敬畏自然相关问题"发表的意见,供读者参阅.     

对中小煤矿矿工的若干思考

中小煤矿是我国煤炭产业的重要组成部分,同时也是煤矿事故的多发领域,中小煤矿矿工就成了煤矿事故的直接受害者。煤矿的安全生产是通过矿工直接实现的,对矿工的研究构成了减少中小煤矿事故的重要手段。对吕梁中部某小煤矿矿工进行了调查,通过对收集数据的分析,初步总结了中小煤矿中矿工自身素质、工种差异、煤矿事故发生的相关关系等方面的规律,并且导入社会学的相关概念,为实现中小煤矿“以矿工为本”的生产理念,减少煤矿事故的发生提出了建议。     

转基因水稻对赤霉素敏感性的初步研究

以水稻品种中花11及其转基因株系为材料,研究它们在苗期对GA3的反应程度.结果表明:用100mg/L的GA3在二叶期对各植株进行喷雾,5d后各个株系苗高都比以喷水的对照组显著增长.在充分考虑起始株高和试验期间对照正常生长动态变化的基础上提出了比净伸长率(specificnetelongateratio,GA3处理的净伸长率和对照净伸长率之比)的概念,并建议根据比净伸长率分析各株系对GA3的敏感性.应用该方法发现2份对GA3钝感的材料.文章报道这一结果并探讨了造成用比净伸长率与常用的“株高增长率”分析水稻品种/株系对GA3敏感性差异的原因.     

基于SNMP协议的全局网络流量分析系统的设计与实现

针对传统的网络流量检测方法的不足,设计了一种基于SNMP协议的流量分析的网络流量监测系统. 该系统通过SNMP协议收集不同网络设备数据,并用这些数据掌握了一系列图表直观的体现网络设备间的流量和整个网络的负载状况.     

模糊神经网络在病虫害诊断中的应用初探

基于模糊神经网络的理论。针对病虫害的诊断，给出了相关的模糊神经网络数学模型．     

Experimental Study and Numerical Simulation of the Casting-Forging Complex Near Net Forming of Alternator Claw-pole

As a newly developed precision technology, casting-forging complex near net forming process is utilized to produce complex components with a short lead time, low cost and high precision, thus to accelerate the response speed of the market and enhance the competitive power of products. In this paper, the casting-forging complex near net forming process of alternator claw pole was developed and investigated with a combination of experimental and numerical simulation method. Qualified near net workpiece was manufactured, mechanical parameter and relative field information during the forming process was also obtained. While the alternator claw-pole is processed with this technology, the forming force is small, the process is short and the quality of forgings is perfect. Therefore, the complex casting-forging near net forming process of claw-pole is an energy and material saving technology, which will have a vast developing and application prospect in the future.     

基于区间灰数预测模型的天猫“双十一”物流需求量预测

基于天猫"双十一"包裹量增长呈"S"形和连续动态变化的特性,对"双十一"包裹量进行预测;首先将天猫历年"双十一"包裹量划分成几个连续区间,然后通过信息分解法对连续区间灰数进行白化处理,将区间灰数分解成白部序列和灰部序列,最后建立基于信息分解的连续区间灰数离散Verhulst预测模型;经误差检验分析,该模型预测结果精度较高,可以作为天猫平台第三方物流企业对物流资源进行合理、有效调配的依据。     

用oc(G)刻画A_n(7≤n≤9)

G为有限群, oc(G)表示G中任意的素数阶元中心化子阶的集合,即oc(G)={CG(x) x是G中任意的素数阶元}.通过数量分析,利用oc(G)刻画了几个交错群,得到了如下结果:如果G为有限群且oc(G)=oc(A_n),则G≌An,这里7≤n≤9.     

An FE-Inexact Heterogeneous ADMM for Elliptic Optimal Control Problems with <Emphasis Type="Italic">L</Emphasis><Superscript>1</Superscript>-Control Cost

Elliptic PDE-constrained optimal control problems with L¹-control cost (L¹-EOCP) are considered. To solve L¹-EOCP, the primal-dual active set (PDAS) method, which is a special semismooth Newton (SSN) method, used to be a priority. However, in general solving Newton equations is expensive. Motivated by the success of alternating direction method of multipliers (ADMM), we consider extending the ADMM to L¹-EOCP. To discretize L¹-EOCP, the piecewise linear finite element (FE) is considered. However, different from the finite dimensional l1-norm, the discretized L¹-norm does not have a decoupled form. To overcome this difficulty, an effective approach is utilizing nodal quadrature formulas to approximately discretize the L¹-norm and L²-norm. It is proved that these approximation steps will not change the order of error estimates. To solve the discretized problem, an inexact heterogeneous ADMM (ihADMM) is proposed. Different from the classical ADMM, the ihADMM adopts two different weighted inner products to define the augmented Lagrangian function in two subproblems, respectively. Benefiting from such different weighted techniques, two subproblems of ihADMM can be efficiently implemented. Furthermore, theoretical results on the global convergence as well as the iteration complexity results o(1/k) for ihADMM are given. In order to obtain more accurate solution, a two-phase strategy is also presented, in which the primal-dual active set (PDAS) method is used as a postprocessor of the ihADMM. Numerical results not only confirm error estimates, but also show that the ihADMM and the two-phase strategy are highly efficient.