大规模三维标量场并行可视化技术综述

并行绘制是提高大规模三维标量场可视化效率的一种重要方法,分别对三维标量场的两类重要可视化方法面绘制方法和直接体绘制方法进行了阐述,并结合这两类可视化方法对其并行绘制中的各种并行模式、负载平衡和图像合成算法进行细致的分析和比较;对国内外较有名的并行绘制系统实现进行了分类与对比;最后,在总结现有研究成果基础上,分析了该领域的下一步发展趋势,为大规模性三维标量场的并行可视化提出了新的问题和思路。     

辐射热传导问题的SFVE格式与数值仿真

在柱坐标系下,首先为多介质的输运管单温辐射热传导和多介质的三温辐射热传导两类模型问题,构造了一种针对非混合网格的保对称有限体元(SFVE-I)格式;接着针对一种特殊混合网格,分别为定常扩散和三温辐射热传导模型问题,构造了一种有限体元(FVE-II)格式;进行了数值实验与数值仿真,其结果表明:对定常问题,在一致网格上有限体元解函数关于真解函数和流函数的逼近分别具有二阶、一阶精度;对上述两种模型问题,数值仿真得到与实际物理现象基本相符的热传导过程和温度分布,且能量守恒误差均小于5%。     

Coordinating production and recycling decisions with stochastic demand and return

In this paper, the joint production and recycling problem is investigated for a hybrid manufacturing and remanufacturing system where brand-new products are produced in the manufacturing plant and recycled products are remanufactured into as-new products in the remanufacturing facility. Both the brand-new products and remanufactured products are used to satisfy customer demands. Returns of used products that are recycled from customers are assumed to be stochastic and nonlinearly price-dependent. A mathematical model is proposed to maximize the overall profit of the system through simultaneously optimizing the production and recycling decisions, subject to two capacity constraints — the manufacturing capacity and the remanufacturing capacity. Based on Lagrangian relaxation method, subgradient algorithm and heuristic algorithm, a solution approach is developed to solve the problem. A representative example is presented to illustrate the system, and managerial analysis indicates that the uncertainties in demand and return have much influence on the production and recycling policy. In addition, twenty randomly produced examples are solved, and computational results show that the solution approach can obtain very good solutions for all examples in reasonable time.     

优序法在管理成果评价中的应用

在对管理成果进行评价时 ,首先要建立指标体系 ,而在这些指标当中有的可以定量描述 ,有的只能定性来描述 ,所以在评价时应当将定性和定量指标进行综合考虑。优序法就是通过对多目标决策问题进行两两相对比较 ,最后给出全部方案的优序排序。此方法应用简单 ,既能处理定量问题 ,又能处理定性问题。在建立管理成果指标体系的基础上 ,利用优序法 ,给出了管理成果评价方法。     

时间序列曲线盒维数的一种快速算法

盒维数是应用最为广泛的维数之一,它在信息处理、预测等领域都有成功的应用。目前,对盒维数的计算主要采用网格法,但该算法需处理分形集合在网格中的计数问题,所以计算机处理起来很不方便。针对一维时间序列,提出了在不同间隔时间内寻求最大离差的方法,避免了集合的计数问题。应用该算法在上证指数的时间序列曲线的盒维数的计算表明上证指数存在着长程正相关。Ｗｉｅｎｅｒｆ过程曲线的盒维数的计算同样表明该算法是可行和有效     

近程雷达目标多分量信号处理研究

以目标多点散射模型为背景 ,提出了FM近程雷达回波混频后多分量信号模型。证明单频信号瞬时频率定义不适合多分量信号。首次提出利用TLS -拓广ESPRIT结合数理统计方法求解多分量信号平均频率。计算机模拟表明 ,该方法用于测距时 ,测试精度高。     

Fixed-Orderl1-Control for Systems with Time-Delay

1. INTRODUCTIONPhysical plaaes are inevitably affected by exogenous disturbance, hence rejecting disturbanceis important. Ffor example, HOO-control systems can reject the LZ disturbance. But in factthere are maily species of disturbances: some are LZ-attenuation; some are stochastic; andsome are Loo(loo) [6]. If the exogenous disturbance is modeled as the energy-bounded signal, and the performance is the output energyt that is Hoo problem. If the performance isoutput energy, that is p…     

用进化-模拟退火算法求解Lambert方程

Lambert方程在轨道拦截和初始轨道确定起着重要作用。求解Lambert方程的传统算法主要有Newton迭代方法和超几何级数展开方法等,但这些算法都有一定的局限性(如有可能出现迭代收敛过慢,级数展开收敛性问题)。采用进化-模拟退火算法(EA-SA)算法求解Lambert方程,其中进化算法具有全局搜索能力,而模拟退火具有局部锁搜索能力。该方法克服了某些情况下梯度下降法有时收敛过慢和超几何级数不收敛的缺点,并具有通用性,便于操作和理解。通过仿真计算对比表明,EA-SA具有普适性,而且精度优于其它两种算法。     

F-generation law and recognition of system law

If a system is not disturbed (or invaded) by some law, there is no doubt that each system will move according to the expected law and keep stable. Although such a fact often appears, some unknown law breaks into the system and leads it into turbulence. Using function one direction S-rough sets, this article gives the concept of the F -generation law in the system, the generation model of the F -generation law and the recognition method of the system law. Function one direction singular rough sets is a new theory and method in recognizing the disturbance law existing in the system and recognizing the system law.     

用面向对象程序设计神经网络的算法类库

依据面向对象的程序（ＯＯＰ）设计的优越性,用Ｃ＋＋语言,针对神经网络ＢＰ算法和ＧＡ算法,编写了神经网络及其算法类库：目的是为神经网络学习算法的发展和深入及其应用于工程提供方便和有利工具．且给出利用该类库实现的非线性系统辨识结果