河南省体育产业发展战略研究

通过文献资料、调查访问对河南省体育产业的目标、体育产业的支柱、体育产业化的政策选择、体育产业发展的对策进行研究，以期从宏观上为相关体育产业发展部门提供参考。     

不可再生资源的最优开发与利用

在考虑资源效用最大化的基础上,通过对不可再生资源开发率模型和利用率模型的分析,给出了在有效开发率及有效利用率制约条件下的一种新模型.同时,利用极大值原理对综合模型进行求解,得到了最优控制策略.     

油气资源勘探与开发的不确定性分析及最优策略

基于油气资源勘探与开发的特点,建立了油气藏勘探发现率及储量模型,并在油气价格服从几何布朗运动条件下,以油气开采收益最大化为目标,建立了油气资源勘探与开发的随机最优控制模型,然后运用动态规划方法推导了在状态方程有几何布朗运动、带随机泊松跳过程条件下,值函数所满足的HJB方程,并对最优策略的求解进行了一些讨论.     

老龄产业发展战略的思考

论述新世纪发展老龄产业的意义、作用、制约因素和内容．目的在于通过老龄产业的发展来解决日趋严重的人口老龄化问题；并运用实证分析法阐明经济发展、计划生育、社会安定与人类进步的关系。     

现代企业创新战略探析

创新是企业成功发展的不竭动力。知识经济条件下，全球经济一体化趋势日益加强，科学技术更新的速度不断加快，企业竞争日益加剧。为了在市场竞争中寻找出路，谋求发展，企业必须制定全面的创新战略。     

A ROBUST DECOMPOSITION OF LINEAR PROGRAMMING USING A GOAL-PARTITIONING METHOD

The Dantzig/Wolfe linear programming decomposition algorithm has had important economicinterpretations as well as a widespread impact on solving large scale linear programming problem.Inthis paper we consider a similar underlying structure,where however there is only one couplinginequality or equation.With this simplification,we demonstrate how to achieve an equitable partitionof the overall coupling resource to individual subproblem constraints through a simple iterationprocedure which appears to be very efficient.     

化学问题解决的“信息加工”策略

本文借鉴现代认知心理学的某些观点，结合例证阐述了复杂化学问题解决的“信息加工”策略：信息简约、信息类比、信息引伸、信息转换、信息评价等等．     

系统的分散与集中的决策：（Ⅱ）分散控制效果分析

分散集中系统是一种重要的工业过程控制系统．合适的分散度有利于提高系统的性能指标，尤其是动态响应速度和误差时间的积分值都有明显地改善．文中提出若干系统分散的选择原则，并用仿真和理论分析加以证明．     

LAMOST观测星表覆盖算法模型

介绍了几种针对LAMOST巡天战略的覆盖算法，在理论上分析这些算法的优劣，并通过模拟的手段证明了分析的结果是正确的。     

Method for Risky Multiobjective Group Decision-Making and Its Application

The multiobjective group decision-making problem under risk is common in reality. This paper focuses on the study about risky multiobjective group decision-making problem where the index value is not certain. We give indexes classifying method and index normalizing formula of this type problem. By building objective function that minimizes general weighted distance from every alternative to the relatively best and worst alternative, the optimal membership degree of every decision-maker to every alternative can be obtained, and by building another objective function that minimizes general weighted distance from the optimal membership degree of every decision-maker to every alternative to the group optimal alternative and the group inferior alternative, the optimal membership degree of every decision-maker to every alternative can be obtained, which are both based on probability theory and fuzzy theory. Aftermost a model is established which collects group preferences. This method provides a new idea and