基于保积分算子的一类对称有限体元格式

针对一类自共轭椭圆问题,在四边形剖分下,利用一类保积分算子,选取一种特殊的控制体和线性有限元空间,构造了一类对称有限体元格式,并给出其误差的L2模、H1模和L∞模估计,数值实验验证了理论结果的正确性.     

基于观测值聚类的多雷达数据融合

根据多部雷达同一时刻对同一目标的观测值在空间呈团状的特征,运用模式识别理论中聚类的方法解决数据融合问题。采用一种改进的KNN算法对多雷达观测数据进行聚类,结合聚类中心和目标预测值,应用卡尔曼滤波器估计目标状态,从而实现多雷达数据融合。实验结果表明,这种方法是有效的。     

更广一类的非线性Schrodinger方程的拟谱方法

讨论了解更广一类的非线性Ｓｃｈｒｏｄｉｎｇｅｒ方程的拟谱方法，构造了半离散和全离散的拟谱格式并给出了误差估计．     

Forecasting interest rate swap spreads using domestic and international risk factors: evidence from linear and non‐linear models

This paper explores the ability of factor models to predict the dynamics of US and UK interest rate swap spreads within a linear and a non‐linear framework. We reject linearity for the US and UK swap spreads in favour of a regime‐switching smooth transition vector autoregressive (STVAR) model, where the switching between regimes is controlled by the slope of the US term structure of interest rates. We compare the ability of the STVAR model to predict swap spreads with that of a non‐linear nearest‐neighbours model as well as that of linear AR and VAR models. We find some evidence that the non‐linear models predict better than the linear ones. At short horizons, the nearest‐neighbours (NN) model predicts better than the STVAR model US swap spreads in periods of increasing risk conditions and UK swap spreads in periods of decreasing risk conditions. At long horizons, the STVAR model increases its forecasting ability over the linear models, whereas the NN model does not outperform the rest of the models. Copyright © 2007 John Wiley & Sons, Ltd.     

The MAP test for multimodality

We introduce a test for detecting multimodality in distributions based on minimal constrained spanning trees. We define a Minimal Ascending Path Spanning Tree (MAPST) on a set of points as a spanning tree that has the minimal possible sum of lengths of links with the constraint that starting from any link, the lengths of the links are non-increasing towards a root node. We define similarly MAPSTs with more than one root. We present some algorithms for finding such trees. Based on these trees, we devise a test for multimodality, called the MAP Test (for Minimal Ascending Path). Using simulations, we estimate percentage points of the MAP statistic and assess the power of the test. Finally, we illustrate the use of MAPSTs for determining the number of modes in a distribution of positions of galaxies on photographic plates from a rich galaxy cluster.     

非线性椭圆型复方程组的一类边值问题

首先给出一阶非线性椭圆型复方程组的一类边值问题解的先验估计式,然后使用Leray-Schauder定理讨论上述问题的可解性     

非线性散度型方程及方程组解的估计

文中利用某类函数,得到了一类非线性散度型方程及方程组古典解的局部估计。文中结果是V.KOMKOV相应结果的推广。     

DARCT-STOKES耦合问题的H（div）有限元逼近方法

文章主要研究了darcy-Stokes耦合流动问题的数值解.darcy-Stokes的耦合模型由流体域的stokes方程,多孔介质域的darcy方程及两区域的界面的界面条件所构成. 通过在界面引入lagrange乘数,将耦合的darcy-Stokes的模型转化为了鞍点问题进行处理,同时利用了H(div)协调的T-R元对该耦合问题进行了离散,证明了离散 问题解的存在唯一性,且进行了误差估计.