弦割法与Muller法收敛阶的新证明方法

弦割法、Muller法与牛顿法一样,都是求解非线性方程的著名算法之一.然而在目前众多优秀的数值分析教材或论著中.关于弦割法和Muller法收敛阶的证明过程都是比较复杂的,无一例外的都是借助于差分方程的求解.本文对这两个算法的收敛阶给出了一种新的简单、直接的证明方法,达到了与牛顿法收敛阶证明方法的统一,同时还能够方便地求...     

内点惩罚函数法的改进算法

本文针对内点惩罚函数法现有算法在计算中设计变量常常越出可行域边界 ,导致计算失效而提出了一种改进的计算方法 .该方法的主导思想就是保证对内点惩罚函数的求极值过程一直限定在可行设计区域内 ,从而保证各 X* ( γ* )均在可行域内 ,并进行了实例计算验证 .     

Discrete Gradient Method: Derivative-Free Method for Nonsmooth Optimization

A new derivative-free method is developed for solving unconstrained nonsmooth optimization problems. This method is based on the notion of a discrete gradient. It is demonstrated that the discrete gradients can be used to approximate subgradients of a broad class of nonsmooth functions. It is also shown that the discrete gradients can be applied to find descent directions of nonsmooth functions. The preliminary results of numerical experiments with unconstrained nonsmooth optimization problems as well as the comparison of the proposed method with the nonsmooth optimization solver DNLP from CONOPT-GAMS and the derivative-free optimization solver CONDOR are presented.     

GAOR迭代法和Jacobi迭代法的敛散关系

本文将文［１］中ＡＯＲ法和Ｊａｃｏｂｉ法同时敛散的结论推广到ＧＡＯＲ法．证明了当Ｊａｃｏｂｉ矩阵Ｂ非负时，解线性方程组Ａｘ＝ｂ（Ａ为不可约矩阵）的ＧＡＯＲ法（０≤γ_ｉ＜ω_ｉ≤１，ｉ＝１，２，…，ｎ）和Ｊａｃｏｂｉ法同时敛散，给出了其谱半径ρ（Ｌ_Ｒ，Ω）和ρ（Ｂ）之间的关系．     

证券投资预测的马氏链法和E-Bayes法

本文提出了两种证券投资预测方法-马氏链法和E-Bayes法.首先对数据进行分组,然后在此基础上应用马氏链法和E-Bayes法的理论建立预测模型,最后结合实际问题进行了计算,两种方法的预测结果是一致的.     

Non-overlapping Domain Decomposition Method for a Nodal Finite Element Method

A new approach is proposed for constructing nonoverlapping domain decomposition procedures for solving a linear system related to a nodal finite element method. It applies to problems involving either positive semi-definite or complex indefinite local matrices. The main feature of the method is to preserve the continuity requirements on the unknowns and the finite element equations at the nodes shared by more than two subdomains and to suitably augment the local matrices. We prove that the corresponding algorithm can be seen as a converging iterative method for solving the finite element system and that it cannot break down. Each iteration is obtained by solving uncoupled local finite element systems posed in each subdomain and, in contrast to a strict domain decomposition method, is completed by solving a linear system whose unknowns are the degrees of freedom attached to the above special nodes.     

基于Fuzzy-AHP的评价方法的研究

回顾了品牌竞争力的测评方法和模糊集的基本理论,在品牌竞争力指标体系的基础上提出了品牌竞争力评估指标的量化模型,并通过构造判断矩阵和隶属度矩阵举例说明了Fuzzy-AHP法在品牌竞争力评估中的应用.     

修正的LMS方法

ＢｉｔｍｅａｄＲ．Ｒ和ＡｎｄｅｒｓｏｎＤ．Ｏ在文献［１］中为任意线性方程组的求解提出了一种颇为有效的算法，称为ＬＭＳ方法．文献［２］详细地论述了算法的收敛性，指出收敛极限是方程组的最小二乘解．本文为使解线性方程组的ＬＭＳ算法具有更广泛、更方便的应用性．对文献［２］中的ＬＭＳ算法作了修正．理论和实践证明修正后的算法是成功的．     

A Quasi—Residuals Method

1 Introduction The heteroscedasticity in regression is widely recognized,and various methods were involved ([1-8,10]). Consider regression model