含参数(A,η)-单调算子的一类似变分包含组

在Hilbert空间中,引进并研究了一类新的含参数(A,η)-单调算子的似变分包含组问题.通过利用预解算子技术和不动点定理,证明了这类变分包含组解的存在性,近似解的收敛性以及解的稳定性.推广和改进了相关文献的已知结果.     

Banach空间中非扩张映射不动点的迭代方法

该文讨论了一致凸的Banach空间中非扩张映射迭代序列的收敛问题,给出了Ishikawa迭代序列两个收敛性定理,改进了Zhou Hanyun(2002年)文中对应的结论.     

线性算子的广义谱

在复赋范线性空间上线性算子广义逆概念的基础上引入线性算子广义谱概念,讨论了复数λ为有界线性算子T的广义谱的充要条件,得出了关于线性算子广义谱的两个恒等式,证明了有界线性算子广义谱的谱映照定理.     

实对称矩阵逆特征值问题的可解条件

该文考察以下２个逆特征值问题（１）问题（ＳＡ）；设Ａ＝（ａｉｊ）为ｎ阶实对称矩阵，其主对角元ａｉｊ＝０，ｉ＝２，．．．．ｎ，给定时角矩阵Ａ＝ｄｉａｇ（λ１，λ２，．．．．λｎ）∈Ｒ＾ｎ×ｎ，求一实时对角矩阵Ｘ＝ｄｉａｇ（ｘ１，ｘ２，．．．．ｘｎ）∈Ｒ＾ｎ×ｎ，使λ（Ａ＋Ｘ）＝λ（Ａ），（Ⅱ）问题（ＳＭ）：设Ａ（ａｉｊ）为ｎ阶实时对称矩阵，其主对角元ａｉｊ＝１，ｉ＝１，２，．．．．ｎ。给定对角矩阵Ａ     

开展数字化测图的必要性及处理信息系统软件的选择

论述了开展数字化测图及开发地理信息系统的必要性与可能性,说明了数字化测图的技术要求及GIS软件的选择原则。     

非扩张映射不动点的带误差的Ishikawa迭代过程

在一致凸Banach空间中对非扩张映射讨论了带误差的Ishikawa迭代过程的一些特性 ,并将已有的相应定理推广到带误差的Ishikawa迭代过程     

Distributed virtual reality system based on hybrid rendering

A distributed virtual reality system is presented based on a hybrid rendering scheme. This system first predicts the camera position of the next key frame in real-time according to the tendency of the current camera movement. The predicted key frame is then generated using a geometry-based algorithm. Finally, a real-time backward image warping algorithm is employed to create a smooth transition between the two adjacent key frames. Since the ren dering procedure can be divided into two independent steps, this system can be efficiently implemented in distributed mode.     

概念整合理论视阈下挽联的认知阐释

概念整合是一系列的认知活动,将不同空间的输入信息进行彼此映射的最优化选择,提取各自最契合的意义整合起来而成为一个新的概念结构。挽联隶属于中国对联文化,或总括一生,或遗言传志,具有深刻的文化意义。概念整合理论的发展日趋成熟,而暂鲜有将其运用于对联领域,文章针对概念整合理论在挽联领域的研究现状,结合概念整合理论所特有的认知网络模型,从挽联的语音、词语、小句及篇章四个方面对挽联进行认知阐释,以期为挽联的研究提供新视角。     

基于类别映射的编组站车辆中时预测模型

现行铁路编组站车辆中时预测方法不能满足实际运输组织需求,结合车辆中时数据平稳性特点,设计基于类别映射的货种与车种映射函数,充分考虑车种别、货种别车辆中转作业差异,重新生成车辆中时序列.采用时间序列分析方法分析中时序列,提出新的编组站车辆中时预测模型,并采用极大似然估计法对参数进行估计并求解模型.实验结果表明,该方法能够较准确预测编组站车辆中时,符合实际中时发展趋势,提高了铁路车流预测的准确性.     

Statistical method for mapping QTLs for complex traits based on two backcross populations

Most important agronomic and quality traits of crops are quantitative in nature.The genetic variations in such traits are usually controlled by sets of genes called quantitative trait loci (QTLs),and the interactions between QTLs and the environment.It is crucial to understand the genetic architecture of complex traits to design efficient strategies for plant breeding.In the present study,a new experimental design and the corresponding statistical method are presented for QTL mapping.The proposed mapping population is composed of double backcross populations derived from backcrossing both homozygous parents to DH (double haploid) or RI (recombinant inbreeding) lines separately.Such an immortal mapping population allows for across-environment replications,and can be used to estimate dominance effects,epistatic effects,and QTL-environment interactions,remedying the drawbacks of a single backcross population.In this method,the mixed linear model approach is used to estimate the positions of QTLs and their various effects including the QTL additive,dominance,and epistatic effects,and QTL-environment interaction effects (QE).Monte Carlo simulations were conducted to investigate the performance of the proposed method and to assess the accuracy and efficiency of its estimations.The results showed that the proposed method could estimate the positions and the genetic effects of QTLs with high efficiency.