二次型极小化问题的迭代算法

在新的控制条件下,证明了二次型极小化问题的迭代算法的有效性,所得结果改进了徐洪坤关于二次型优化的最新结果。     

基于GPU的动态地形过程纹理映射方法

针对基于GPU的动态地形可视化算法中地形形变处的纹理映射问题,提出了在片元着色器里对多种纹理样本进行采样,以动态地形模型本身特点为纹理生成条件,以地形深度偏移图作为动态地形纹理分布alphamap图的动态地形过程纹理生成和映射方法。通过典型的弹坑和车辙纹理映射实验,验证了该方法的正确性和有效性。     

自反Banach空间一类完全广义集值强非线性混合似变分不等式问题

研究了一类完全广义集值强非线性混合似变分不等式在自反Banach空间下的问题，借助一个极大极小不等式，证明了这类完全广义集值强非线性混合似变分不等式的解的存在唯一性定理。     

关于非扩展映象的有限族的一个强收敛性定理

讨论了一个非扩展映象的有限族所定义的迭代格式,证明了Banach空间中的一个非扩展映象的有限族的强收敛性定理。     

装备试验与评价的系统工程管理技术

试验与评价是对装备战技指标进行的全面考核与验证,涉及到多指标、多阶段、多装备层次。结合装备试验与评价的特点与需求,给出了装备试验与评价系统工程管理的概念,明确了其内涵。从寿命周期维、评价指标维和装备层次维三个角度,构建了装备试验与评价的霍尔三维结构模型(HMTE)。针对具体评价指标,对该模型的矩阵映射过程进行了阐述,实现了HMTE的具体化。最后对元模型进行了论述,并通过案例阐述了其具体形式。装备试验与评价系统工程管理方法的应用,有利于装备试验与评价的全面统筹与实施,达到降低试验总费用,提升试验总效能的目标。     

图像形变中基于MLS的光滑纹理映射技术

提出了一种基于移动最小二乘的二次拟合多项式纹理映射模型.该模型主要应用于使用控制网格的图像形变技术.图像中的物体被嵌入一个控制网格,并且对控制网格进行形变操作.在控制网格上应用纹理映射,以绘制形变后的物体.在纹理映射时通过将控制网格顶点在形变前后的位移向量作为拟合函数值,采用移动最小二乘方法进行拟合得到映射所使用的二次函数.该方法能够明显改善图像形变后的光滑性,实现逼真、自然的图像形变.     

国内“专利代理”研究热点与趋势分析

运用信息计量学、自研软件和以CiteSpaceⅡ为代表的知识图谱工具相结合的方法对1987至2016年国内"专利代理"领域内的基本情况和研究热点与趋势进行了初步分析与可视化展现。通过对数据的处理和分析得出了国内"专利代理"研究领域的期刊、作者、机构、高被引用文献等基本情况,并利用关键词共现、突现词检测等方法对国内"专利代理"研究的热点和未来的研究趋势进行了初步预测,对国内"专利代理"研究具有一定的借鉴意义。     

Stability in a general oligopoly model

We analyze a general but parsimonious price competition model for an oligopoly in which each firm offers any number of products. The demand volumes are general piecewise affine functions of the full price vector, generated as the “regular” extension of a base set of affine functions. The model specifies a product assortment, along with their prices and demand volumes, in contrast to most commonly used demand models. We identify a fully best response operator which is monotonically increasing so that the market converges to a Nash equilibrium, when firms dynamically adjust their prices, as best responses to their competitors' prices, at least when starting in one of two price regions. Moreover, geometrically fast convergence to a common equilibrium can be guaranteed for an arbitrary starting point, under an additional condition for the price sensitivity matrix.     

Research on simultaneous localization and mapping for AUV by an improved method: Variance reduction FastSLAM with simulated annealing

At present, simultaneous localization and mapping (SLAM) for an autonomous underwater vehicle (AUV) is a research hotspot. Aiming at the problem of non-linear model and non-Gaussian noise in AUV motion, an improved method of variance reduction fast simultaneous localization and mapping (FastSLAM) with simulated annealing is proposed to solve the problems of particle degradation, particle depletion and particle loss in traditional FastSLAM, which lead to the reduction of AUV location estimation accuracy. The adaptive exponential fading factor is generated by the anneal function of simulated annealing algorithm to improve the effective particle number and replace resampling. By increasing the weight of small particles and decreasing the weight of large particles, the variance of particle weight can be reduced, the number of effective particles can be increased, and the accuracy of AUV location and feature location estimation can be improved to some extent by retaining more information carried by particles. The experimental results based on trial data show that the proposed simulated annealing variance reduction FastSLAM method avoids particle degradation, maintains the diversity of particles, weakened the degeneracy and improves the accuracy and stability of AUV navigation and localization system.     

对几种不同维数据融合方法的仿真对比研究

在多雷达系统组网对空情报处理中，不同的数据融合方法在融合精度、求解时间及计算量方面都有较大差异。为了验证不同融合方法的融合效果及系统处理时间和性能，分析了多雷达系统组网对不同维数据融合处理的映射法、升维法、分维法的融合框架和融合算法，并分别进行了计算机仿真，得出并分析了对比数据。仿真结果表明了分维法在数据融合中的优势。