非紧集上的Stampacchia向量均衡问题

在拓扑向量空间中,利用著名的Fan-KKM定理,得到非紧集上Stampacc ia向量均衡问题的解,推广和发展了近期的一些研究结果。     

基于连续投影算法的光谱主成分组合优化方法研究

应用连续投影算法(successive projections algorithm, SPA)选择由主成分分析(principal component analysis,PCA)得到主成分的最佳组合。首先对奶粉的短波近红外光谱进行PCA分析, 然后通过SPA得到的脂肪和蛋白质含量预测最佳主成分组合分别为主成分1,2,4,5,6和7以及主成分1,2,3,4,5和8。通过最小二乘支持向量机(Least-squares support vector machine, LS-SVM)对奶粉中脂肪和蛋白质含量进行预测, SPA选择得到的主成分组合均优于分别采用前4个到前8个主成分。 基于SPA得到的主成分组合得到脂肪含量预测结果的确定系数(R2p),预测误差均方根(root mean square error for prediction, RMSEP)和剩余预测偏差(residual predictive deviation, RPD)分别为0.989 0,0.170 3和9.534 3。而蛋白质含量预测结果的R2p,RMSEP和RPD分别为0.987 6,0.134 8和8.927 4。说明SPA能够用于快速有效选取最佳的主成分数, 寻优过程简单快速,并且不用对大量参数进行调试。     

基于可见-近红外光谱技术的水稻穗颈瘟染病程度分级方法研究

采用Vis-NIR技术对水稻穗颈瘟染病程度分级方法进行了研究。分别基于原始光谱,变量标准化(SNV)预处理后和多元散射校正(MSC)预处理后的光谱,应用无信息变量消除法(UVE)结合连续投影算法(SPA)对Vis-NIR光谱区进行有效波长的选择。选择后的波长作为输入变量建立最小二乘-支持向量机(LS-SVM)模型。结果表明SNV-UVE-SPA建立的LS-SVM模型预测效果最好。通过SNV-UVE-SPA从全波段600个波长中选择了6个最能够反应光谱信息的波长(459, 546, 569, 590, 775和981 nm)。SNV-UVE-SPA-LS-SVM组合模型对预测集样本预测得到的确定系数(R2_p),预测集的预测标准差(RMSEP)和剩余预测偏差(RPD)分别达到了0.979,0.507和6.580。结果表明,采用Vis-NIR光谱技术对水稻穗颈瘟染病程度进行分级是可行的。通过UVE-SPA得到的有效波长能够很好地代替全波长。     

Kinetic description of bottleneck effects in traffic flow

This paper deals with the effects of traffic bottlenecks using an extended Lighthill-Whitham-Richards （LWR） model. The solution structure is analytically indicated by the study of the Riemann problem characterized by a discontinuous flux. This leads to a typical solution describing a queue upstream of the bottleneck and its width and height, and informs the design of a δ-mapping algorithm. More significantly, it is found that the kinetic model is able to reproduce stop-and-go waves for a triangular fun-damental diagram. Some simulation examples, which are in agreement with the analytical solutions, are given to support these conclusions.     

FC_空间中的参数型KKM定理及其应用

The paper first proves a characteristic property in FC-spaces. By the use of the connectedness of sets, a parametric type of KKM theorem is then established in noncompact FC-spaces by introducing a linear ordered space. As a consequence, some recent results, such as noncompact minimax inequalities, saddle point theorem, and section theorem, are improved. The results generalize the corresponding results in the literatures.     

星形裂纹的应力分析

利用复变函数的方法, 通过构造适当的保角映射研究了星形裂纹的平面弹性问题,给出了裂纹尖端I型与II型问题应力强度因子的解析解.并由此模拟出了经典的Griffith裂纹,共点均匀分布三裂纹,十字裂纹,对称八裂纹问题.      

盒状件分布动载荷频域识别方法

引入二维广义正交多项式理论,用二维广义正交基函数拟合识别动载荷函数,以有限元分析软件为平台,将分布动载荷的识别转化为对正交基函数拟合系数的识别,从而建立二维分布动载荷频域识别理论.针对三维盒状件分布动载荷识别模型,进行降维处理,通过空间映射,将三维分布的动载荷转换到二维平面,利用二维广义正交多项式对分布动载荷进行识别.利用仿真算例表明:该识别方法有效,并且具有好的识别精度.     

Algorithms of common solutions to quasi variational inclusion and fixed point problems

The purpose of this paper is to present an iterative scheme for finding a common element of the set of solutions to the variational inclusion problem with multivalued maximal monotone mapping and inverse-strongly monotone mappings and the set of fixed points of nonexpansive mappings in Hilbert space.Under suitable conditions, some strong convergence theorems for approximating this common elements are proved. The results presented in the paper not only improve and extend the main results in Korpelevich（Ekonomika i Matematicheskie Metody,1976,12（4）：747-756）,but also extend and replenish the corresponding results obtained by Iiduka and Takahashi（Nonlinear Anal TMA,2005,61（3）：341-350）,Takahashi and Toyoda（J Optim Theory Appl,2003, 118（2）：417-428）,Nadezhkina and Takahashi（J Optim Theory Appl,2006,128（1）：191- 201）,and Zeng and Yao（Taiwanese Journal of Mathematics,2006,10（5）：1293-1303）.     

自反Banach空间中一类广义集值强非线性变分不等式问题

在自反Banach空间中引进并研究一类具有集值映射的广义强非线性变分不等式问题,并且证明了这类变分不等式解的存在性定理。结果修正、改进和推广了文献Cho Y.J等人的主要结果。     

关于Udo Simon猜测的注记

设ψ:S2→Sn为线性满的极小浸入,Gauss曲率K满足1/10≤K≤1/6。若K不是常数,则n=6,且ψ的准线φ0至少有2个不同的分歧点。作为它的推论,如果1/7相似文献