无胀缝坡道路面板热胀屈曲的摄动解

文中分析了无胀缝坡道路面板在温度场作用下热胀屈曲的力学机制.采用正则摄动法导出了坡道路面板临界铺设温差的渐近表达式,分析了坡道与水平直道路面板临界铺设温差之间的关系,得出了坡道与水平直道路面板热胀屈曲的统一解答,并据此给出了无胀缝坡道路面的合理铺设温差.     

二维海底电缆铺设的微分方程模型与数值算法

建立了动态描述海底电缆铺设过程中电缆运动轨迹的微分方程模型,同时提出了静态解的存在条件和相应的数值算法.在实际电缆铺设过程中可用来合理设计探测船航行速度和路线以保证电缆可以沉放到设定的位置.     

太阳能小屋电池铺设模型构建及求解

随着石油、煤炭等不可再生能源的大量使用,传统化石能源匮乏,人们逐渐将视线转向可再生能源,太阳能作为一种清洁、高效的可再生能源逐渐被人们运用到了现实生活中.本文以山西省大同市为例对太阳能小屋的铺设条件进行分析,构建贴附式、架空式、进化多元约束优化铺设模型,并利用Matlab软件对模型进行仿真求解.本文将最佳倾角模型用于架空式铺设模型设计与计算中,更加全面考核了多种外在因素对小屋电池铺设的影响,所得结果更加优异;进化算法在参数估计中具有较强的鲁棒性,能快速地对参数进行模拟仿真,对相应约束条件进行相关设定,即可得参数的最优解.该文中所构建的求解模型在实际生活中具有一定的应用及推广价值.     

反对称角铺设层合板的屈曲和后屈曲

本文以挠度为摄动参数,采用文[1]提供的摄动方法研究了四边简支的完善和非完善反对称角铺设层合板在面内压缩作用下的屈曲和后屈曲性态.本文讨论了面内边界条件、铺设角、铺层数以及初始几何缺陷对层合板后屈曲性态的影响.     

输油管道的布置

本文建立了非线性规划模型,解决了输油管线布置问题,并给出了输油管线铺设的最佳方案.     

钢管订购和运输策略

在铺设管道为一条线的情况下 ,我们建立了解决钢管订购和运输问题的非线性规划模型 .由于变量较少 ,约束条件大都为线性的 ,目标函数为二次函数 ,所以利用 Lingo软件 ,可以很快求得比较满意的订购和运输方案 .我们利用 Matlab软件 ,对所得到的数据进行拟合 ,得到相应的反映销价变化对总费用影响的曲线 ,然后比较各个钢厂钢管销价变化对总费用影响的大小 .对于钢厂钢管产量上限变化对总费用和购运计划的影响 ,我们也作了类似的处理 .如果要铺设的管道是树形图 ,我们对树形图的每条边定向 ,建立了与铺设管道为一条线时类似的数学模型 ,从而大大拓广了模型的使用范围 .在论文中 ,我们还对所建立的模型的优缺点和需要改进的方向进行了讨论     

对一道几何应用题的再讨论

题目 如图1,A、B两个村子在河CD的同侧,AC⊥CD,BD⊥CD,垂足分别为C、D.它们的距离分别为AC=1千米,BD=3千米,CD=3千米,现要在河边CD上建一水厂向A、B两村输送自来水,铺设水管的工程费为每千米1.5万元,CD上有一点建水厂能使铺设的费用最省,求铺设水管最省的总费.     

钢管的订购和运输

本文先利用问题一中铺设线路无分岔的特点 ,建立了基于图解法的最小面积模型 ,将规划问题转化为使若干折线段下方面积和最小的问题 ,通过简单的判别准则 ,手工求得最小总费用为 1 2 78631 .6万元 ,并对该结果最优性进行了说明 .对问题三参考网络流思想建立了适用于一般铺设路线的非线性规划模型 ,用SAS得到一个最优方案和最小费用 1 4 0 6631 .4万元 ,并用此模型对问题一的灵敏度进行了准确的定量分析 .     

订购和运输钢管的最优方案

本文研究铺设天燃气钢管的最优方案问题 .我们建立了一个以总费用为目标函数的二次规划模型     

对一次公开课教学案例的反思

1　教学主题 :函数建模应用举例案例　某开发区的四个村镇正好位于边长为 2ｋｍ的正方形的顶点上 ,现要铺设任何两个村镇都有道路的道路网 ,预计每建一公里的道路费用 1 0 0万元 ,现已筹集到筑路资金 5 5 0万元 ,问这笔资金能否完成这个筑路项目 ?若能 ,请你设计出一种筑路方案 ?1 1　教学过程梗概教法一教师分析　根据题设 ,铺设道路的设计方案必需考虑四个因素 :村镇位置 ,镇镇相通 ,铺设每公里道路的费用 ,总资金 5 5 0万元 .可铺设道路总长 ≤ 5 5ｋｍ .图 1教师讲解设计方案　简述符合题设的方案 :Ａ、Ｂ、Ｃ、Ｄ表示四个村镇的位置 …     

Misclassification cost minimizing fitness functions for genetic algorithm-based artificial neural network classifiers

We study three different approaches to formulate a misclassification cost minimizing genetic algorithm (GA) fitness function for a GA-neural network classifier. These three different approaches include a fitness function that directly minimizes total misclassification cost, a fitness function that uses posterior probability for minimizing total misclassification cost and a hybrid fitness function that uses an average value of the first two fitness functions to minimize total misclassification cost. Using simulated data sets representing three different distributions and four different misclassification cost matrices, we test the performance of the three fitness functions on a two-group classification problem. Our results indicate that the posterior probability-based misclassification cost minimizing function and the hybrid fitness function are less prone to training data over fitting, but direct misclassification cost minimizing fitness function provides the lowest overall misclassification cost in training tests. For holdout sample tests, when cost asymmetries are low (less than or equal to a ratio of 1:2), the hybrid misclassification cost minimizing fitness function yields the best results; however, when cost asymmetries are high (equal or greater than a ratio of 1:4), the total misclassification cost minimizing function provides the best results. We validate our findings using a real-world data on a bankruptcy prediction problem.     

Optimal synchronization of two different in‐commensurate fractional‐order chaotic systems with fractional cost function

This article investigates the optimal synchronization of two different fractional‐order chaotic systems with two kinds of cost function. We use calculus of variations for minimizing cost function subject to synchronization error dynamics. We introduce optimal control problem to solve fractional Euler–Lagrange equations. Optimal control signal and minimum time of synchronization are obtained by proposed method. Examples show the optimal synchronization of two different systems with two different cost functions. First, we use an ordinary integer cost function then we use a fractional‐order cost function and comparing the results. Finally, we suggest a cost function which has the optimal solution of this problem, and we can extend this solution to solve other synchronization problems. © 2016 Wiley Periodicals, Inc. Complexity 21: 401–416, 2016     

Stopping eules for the multistart method when different local minima have different function values

In this paper the Bayesian stopping rules derived by Boendeb and Rin-Nooy Kan for the Multistart method in global optimization are adjusted to incorporate both in the likelihood and in the loss function the a priori assumption that different local minimum points have different, function values.     

Polyhedral functions and multiparametric linear programming

In a linear programming problem with a vector parameter appearing on the right-hand side, the minimum value of the objective is a polyhedral function of this parameter. We show how different characterizations of a polyhedral function correspond to different ways of solving the right-hand side multiparameteric linear programming problem.     

具有5个不同素因子的Nicol数数数

通过计算机辅助,利用元素的阶、欧拉函数、因子和函数等数论函数的性质,继续研究了具有5个不同素因子的Nicol数,证明了具有5个不同素因子的Nicol数只能是3-Nicol数和4-Nicol数.     

Effects of power law logistic technologies on economic growth

Based on the S-shaped power law logistic technology, we set up an economic growth model in this paper. The solution of the model is given via hypergeometric functions. We show that the dynamics of the model is asymptotically stable. And, it is found that the dynamics of the model is actually controlled by the power law logistic function through an ordinary logistic function, as a power function of the power law logistic. From the statistical point of view, in this paper, three different types of power law index means three different types of skewness, giving three different types of growth and diffusion patterns of technology. Then, we show some comparison results of different types of technology and of different initial levels of capital, and their effects on economic growth. A numerical example is also given in this paper to illustrate the effects.     

A Combined Homotopy Infeasible Interior-Point Method for Convex Nonlinear Programming

In this paper, on the basis of the logarithmic barrier function and KKT conditions , we propose a combined homotopy infeasible interior-point method (CHIIP) for convex nonlinear programming problems. For any convex nonlinear programming, without strict convexity for the logarithmic barrier function, we get different solutions of the convex programming in different cases by CHIIP method.     

关于凸函数的定义和性质

主要研究了凸函数的几种定义及他们在不同的条件下的关系,并讨论了连续凸函数的一些性质.     

基于效用函数的模糊数的比较与排序

对相同的模糊数进行比较,不同风险偏好的决策者,会得到不同的结论.效用函数是对风险偏好的度量,因此,模糊数的比较与排序的方法,一定要结合决策者的效用函数来构造.为此,根据效用函数定义了模糊效用函数,在此基础上定义了效用序.之后,证明效用序为全序,进一步利用结构元理论对效用序进行表述.根据效用函数反映风险偏好的程度,对效用序进行分类.这样,决策者对模糊数进行比较时,依据自身对风险偏好程度来选择效用序.     

基于不同核函数的非参数与参数利率模型的国债定价

以上海证券交易所的国债回购利率数据为样本,本文采用两种不同核函数:高斯核和抛物线核对非参数利率期限结构模型进行估计.结果显示:短期利率的密度函数是非正态的,扩散过程的漂移函数和扩散函数都是非线性的,高斯核比抛物线核对扩散函数拟合更平滑.然后,给出了基于非参数和参数利率模型的国债定价的方法,并对非参数利率模型、Vasicek模型、CIR模型、多项式样条静态模型进行国债定价预测比较与分析.