Optical signal quality metric based on statistical moments and Laguerre expansion

A new and straightforward optical signal quality metric, which is based on the approximation of the analytical probability density function by its Laguerre expansion, is proposed. This expansion uses statistical moments to approximate the true statistics, but, unlike the well-known Gaussian approximation, higher order moments can be used as well. The quality of the proposed metric is discussed and the metric is compared with the Gaussian approximation. It is shown that the new metric provides not only a good estimation of the bit error rate in the range of practical interest but, contrary to the Gaussian approximation, correctly estimates optimum decision threshold and accurately pictures the shape of the noise distribution.     

精确简洁解析的原子组态相互作用波函数的计算

使用广义Laguerre类型轨道,在组态相互作用框架内,发展并完善了一套精确、简洁、解析的原子(离子)波函数从头计算的Fortran程序,计算原子中电子的结构.通过对指定能态能量求其最小值实现对波函数节点位置和空间范围的优化,从而求出最优波函数.作为例子,计算了⁵G态下的Ti的能量最小值和优化波函数.     

基于统计窗的恒星连续谱自动拟合方法

提出一种基于统计窗的恒星连续谱拟合方法。该方法将恒星光谱划分为若干个统计窗,在每个窗口内根据信噪比选取一定比例的流量点,然后对选出来的流量点进行低阶多项式迭代拟合,从而得到连续谱。实验表明,与其他方法相比,该方法得到的连续谱更接近于实际连续谱。该方法对SDSS中除M外的各种光谱型连续谱的拟合均具有很高的实用性和鲁棒性,对于郭守敬望远镜(LAMOST)先导巡天恒星光谱的连续谱拟合同样具有非常好的效果。     

多项式偏最小二乘法对非线性体系红外谱图的分析

文章利用了一种非线性模型多项式偏最小二乘法(PPLS),结合傅里叶变换红外光谱遥感技术,对大气中的五组分混合体系进行了同时分析。并与偏最小二乘法(PLS)得到的结果进行了比较,PPLS显示出较好的处理非线性数据的能力。尤其是对混合物中的苯和氯仿的预测,均方根预测误差(RMSEP)分别是0.043和0.087,用PLS预测相应的RMSEP为0.402和0.842。PPLS的这一预测精度,可以满足遥感傅里叶变换红外光谱对大气中有毒气体的实时、在线监测的需要。同时PPLS可以用较少的潜变量对变量进行解释,显示出PPLS模型的稳健性和简单化。     

Modified Laguerre spectral and pseudospectral methods for nonlinear partial differential equations in multiple dimensions

The Laguerre spectral and pseudospectral methods are investigated for multidimensional nonlinear partial differential equations. Some results on the modified Laguerre orthogonal approximation and interpolation are established, which play important roles in the related numerical methods for unbounded domains. As an example, the modified Laguerre spectral and pseudospectral methods are proposed for two-dimensional Logistic equation. The stability and convergence of the suggested schemes are proved. Numerical results demonstrate the high accuracy of these approaches.     

On the use of homogeneous polynomials to develop anisotropic yield functions with applications to sheet forming

This paper investigates the capabilities of several non-quadratic polynomial yield functions to model the plastic anisotropy of orthotropic sheet metal (plane stress). Fourth, sixth and eighth-order homogeneous polynomials are considered. For the computation of the coefficients of the fourth-order polynomial an improved set of analytic formulas is proposed. For sixth and eighth-order polynomials the identification uses optimization. Simple constraints on the optimization process are shown to lead to real-valued convex functions. A general method to extend the above plane stress criteria to full 3D stress states is also suggested. Besides their simplicity in formulation, it is found that polynomial yield functions are capable to model a wide range of anisotropic plastic properties (e.g., the Numisheet’93 mild steel, AA2008-T4, AA2090-T3). The yield functions have then been implemented into a commercial finite element code as constitutive subroutines. The deep drawing of square (Numisheet’93) and cylindrical (AA2090-T3) cups have been simulated. In both cases excellent agreement with experimental data is obtained. In particular, it is shown that non-quadratic polynomial yield functions can simulate cylindrical cups with six or eight ears. We close with a discussion on earing and further examples.     

多维区域中非线性偏微分方程的修正Laguerre谱与拟谱方法

研究多维区域中非线性偏微分方程的谱与拟谱方法．建立了修正Laguerre正交逼近与插值结果,这些结果对于建立和分析无界区域中的数值方法起着重要的作用．作为结果的一个应用,研究了二维无界区域中的Logistic方程的修正Laguerre谱格式,证明了它的稳定性和收敛性．数值试验结果表明所提出方法具有很高的精度,与理论分析结果完全吻合．     

On Infinite--Finite Inequalities Related to the Laguerre Weight

The Mhaskar--Rakhmanov--Saff inequalities are improved for polynomials with exponential weights.     

一类图的特征多项式与匹配多项式

本文对一类具有对称轴的图A_n(n≥0),得到了它的特征多项式及匹配多项式的精确表达式;同时还得到A_(?)的完美匹配数。     

Solution of the least squares method problem of pairwise comparison matrices

The aim of the paper is to present a new global optimization method for determining all the optima of the Least Squares Method (LSM) problem of pairwise comparison matrices. Such matrices are used, e.g., in the Analytic Hierarchy Process (AHP). Unlike some other distance minimizing methods, LSM is usually hard to solve because of the corresponding nonlinear and non-convex objective function. It is found that the optimization problem can be reduced to solve a system of polynomial equations. Homotopy method is applied which is an efficient technique for solving nonlinear systems. The paper ends by two numerical example having multiple global and local minima. This research was supported in part by the Hungarian Scientific Research Fund, Grant No. OTKA K 60480.