广义Nekrasov矩阵的一类递进判别法  

A Class of Progressively Discriminating Methods for Generalized Nekrasov Matrix

作　　者：郭爱丽[1] 周立新[2] 

机构地区：[1]毕节学院数学与计算机科学学院,贵州毕节551700 [2]桂林航天工业学院理学部,广西桂林541004

出　　处：《重庆工商大学学报（自然科学版）》2014年第2期30-32,36,共4页Journal of Chongqing Technology and Business University:Natural Science Edition

基　　金：贵州省科学技术基金(2012GZ10526);毕节学院重点项目基金(20102004);广西省教育厅科研项目基金(201106LX723)

摘　　要：广义Nekrasov矩阵是一类应用广泛的特殊矩阵;通过递进选取正对角因子元素,利用不等式的放缩技巧,给出广义Nekrasov矩阵的一类递进判别法;推广了已有结果,并用数值实例说明了所得结果的优越性.Generalized Nekrasov matrix is a class of special matrix with wide application. A class of progressively discriminating methods for generalized Nekrasov matrix is given based on progressively choosing positive diagonal factors and by using inequality scaling techniques, the existed results are generalized and the advantage of the obtained results is illustrated by numerical example.

关 键 词：NEKRASOV矩阵 广义NEKRASOV矩阵 正对角矩阵 

分 类 号：O151.21[理学—数学]