薄膜阻尼结构的处理位置优化

本文介绍薄膜阻尼结构在使用时，如何选取处理位置才能达到预期的效果．     

区域资源空间分配的数学原理

文章根据经济学的择扰分配原理和区域经济地理学的区划思想，提出资源在地域空间上合理配置的数学规划方法，并指出了应用此方法的有关问题及解决办法。在探讨方法论的同时，文章也得出如下结论：资源的空间分配法则不是域均衡，而是边际收益的空间统一。     

《资本论》与按生产要素分配--对马克思分配理论的再认识

长期以来，我国理论界一直认为，马克思从价值创造决定价值分配的前提出发批驳了萨伊的“三位一体”的公式。因此，马克思对按生产要素分配的思想是加以否定的。然而，笔者认为，马克思在《资本论》中却清楚地阐明了在市场经济条件下的按生产要素分配的合理性。     

悬臂框架结构设计方案的分析比较

通过一个设计实例，介绍了工程设计中悬臂框架结构常用的处理措施；计算表明，在悬臂端设置端柱的方法是切实可行而有效的。     

对价值创造与按生产要素分配关系的探讨

生产资料所有权与生产要素在创造使用价值中的作用都不能作为按生产要素分配的依据，按生产要素分配是以劳动价值论为基础的，按生产要素分配必须深化对劳动价值论的认识，承认除劳动之外的生产要素在价值创造中的作用。     

一类半参数回归模型的估计理论

考虑半参数回归模型Y=X’β+g(T)+e,其中(X,T)为取值于R^p×[0,1]上的随机向量,β为p×1未知参数向量,g为定义于[0,1]上的未知函数,e为随机误差,Ee=0,Ee²=σ²>0,且(X,T)与e独立。本文综合最近邻和最小二乘的方法定义了β,g和σ²的估计量,g_n^*和。在适当条件下证明了和的渐近正态性,并得到了g_n^*的最优收敛速度。     

条形装箱问题的优化模型和增广Lagrange算法

This paper formulates a two-dimensional strip packing problem as a non-linear programming(NLP)problem and establishes the first-order optimality con-ditions for the NLP problem.A numerical algorithm for solving this NLP problemis given to find exact solutions to strip-packing problems involving up to 10 items.Approximate solutions can be found for big-sized problems by decomposing the setof items into small-sized blocks of which each block adopts the proposed numericalalgorithm.Numerical results show that the approximate solutions to big-sized prob-lems obtained by this method are superior to those by NFDH,FFDH and BFDHapproaches.     

OPTIMAL HARVESTING POLICY FOR INSHORE-OFFSHORE FISHERY MODEL WITH IMPULSIVE DIFFUSION

This article studies the inshore-offshore fishery model with impulsive diffusion. The existence and global asymptotic stability of both the trivial periodic solution and the positive periodic solution are obtained. The complexity of this system is also analyzed. Moreover, the optimal harvesting policy are given for the inshore subpopulation, which includes the maximum sustainable yield and the corresponding harvesting effort.     

Evolving Networks with Nonlinear Assignment of Weight

We propose a weighted evolving network model in which the underlying topological structure is still driven by the degree according to the preferential attachment rule while the weight assigned to the newly established edges is dependent on the degree in a nonlinear form. By varying the parameter a that controls the function determining the assignment of weight, a wide variety of power-law behaviours of the total weight distributions as well as the diversity of the weight distributions of edges are displayed. Variation of correlation and heterogeneity in the network is illustrated as well.