节点文献
广义双随机矩阵反问题及其应用
An Inverse Problem for Generalized Doubly Stochastic Matrices and Its Application
【摘要】 研究广义双随机矩阵反问题.给出广义双随机矩阵的最小二乘解,得到了解的具体表达形式.并讨论了用广义双随机矩阵构造给定矩阵的最佳逼近问题,给出该问题有解的充分必要条件和解的表达形式.包括算法及数值例子.
【Abstract】 This paper is concerned with the inverse problem for n-by-n generalized doubly stochastic matrices.The least-square solutions of n×n generalized doubly stochastic matrices are studied.In addition,the problem of using generalized doubly stochastic matrices to construct the optimal approximation to a given matrix is discussed,and the expression of the solution is provided.The algorithms and numerical examples are included.
【关键词】 广义双随机矩阵;
反问题;
最佳逼近;
马尔可夫过程;
【Key words】 generalized doubly stochastic matrices; inverse problem; optimal approximation; Markov stochastic processes;
【Key words】 generalized doubly stochastic matrices; inverse problem; optimal approximation; Markov stochastic processes;
【基金】 国家自然科学基金(10472037)
- 【文献出处】 数学的实践与认识 ,Mathematics in Practice and Theory , 编辑部邮箱 ,2008年15期
- 【分类号】O151.21
- 【被引频次】1
- 【下载频次】165