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THE SYMMETRIC AND SYMMETRIC POSITIVE SEMIDEFINITE SOLUTIONS OF LINEAR MATRIX EQUATION——B^TXB = D ON LINEAR MANIFOLDS 被引量:4
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作者 邓远北 胡锡炎 张磊 《Numerical Mathematics A Journal of Chinese Universities(English Series)》 SCIE 2003年第2期186-192,共7页
This paper discusses the solutions of the linear matrix equation BT X B=Don some linear manifolds.Some necessary and sufficient conditions for the existenceof the solution and the expression of the general solution ar... This paper discusses the solutions of the linear matrix equation BT X B=Don some linear manifolds.Some necessary and sufficient conditions for the existenceof the solution and the expression of the general solution are given.And also someoptimal approximation solutions are discussed. 展开更多
关键词 半定解 线性矩阵方程 线性流形 半定矩阵 正交矩阵
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THE SOLVABILITY CONDITIONS FOR AN INVERSE EIGEN-PAIR PROBLEM
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作者 张磊 胡锡炎 《Numerical Mathematics A Journal of Chinese Universities(English Series)》 SCIE 1995年第1期107-108,共2页
This paper discusses problem IEP:Given n×m matrix X and m×m diagonal matrix A, find an n×n matrix A such that AX=XA.The new solvablily conditions for the problem IEP are obtained. The eigenvalue dislrib... This paper discusses problem IEP:Given n×m matrix X and m×m diagonal matrix A, find an n×n matrix A such that AX=XA.The new solvablily conditions for the problem IEP are obtained. The eigenvalue dislribulaion of the solutions for the problem IEP are described in detail. 展开更多
关键词 Eigen-pair INVERSE PROBLEM SOLVABILITY CONDITIONS
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THE APPROXIMATION PROBLEM ON THE CLOSED CONVEX CONE AND ITS NUMERICAL SOLUTION
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作者 周富照 胡锡炎 张磊 《Numerical Mathematics A Journal of Chinese Universities(English Series)》 SCIE 2004年第1期64-71,共8页
In this paper, we study the approximation problem on the closed convex cone, and prove that there exists a unique solution of the approximation problem, then give the algorithm to compute the unique solution.
关键词 最优解 数值解 闭凸锥体 对称正交矩阵 HILBERT空间
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THE SOLVABILITY CONDITIONS FOR THE INVERSE PROBLEM OF BISYMMETRIC NONNEGATIVE DEFINITE MATRICES 被引量:18
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作者 Dong-xiu Xie Lei Zhang Xi-yan Hu 《Journal of Computational Mathematics》 SCIE CSCD 2000年第6期597-608,共12页
A = (a[sub ij]) ∈ R[sup n×n] is termed bisymmetric matrix if a[sub ij] = a[sub ji] = a[sup n ? j + 1, n ? i + 1], i, j = 1, 2 ··· n. We denote the set of all n x n bisymmetric matrices by BSR[sup ... A = (a[sub ij]) ∈ R[sup n×n] is termed bisymmetric matrix if a[sub ij] = a[sub ji] = a[sup n ? j + 1, n ? i + 1], i, j = 1, 2 ··· n. We denote the set of all n x n bisymmetric matrices by BSR[sup n x n]. This paper is mainly concerned with solving the following two problems: Problem I. Given X, B ∈ R[sup n×m], find A ∈ P[sub n] such that AX = B, where P[sub n] = {A ∈ BSR[sup n×n]| x[sup T] Ax ≥ 0, ?x ∈ R[sup n]}. Problem II. Given A[sup *] ∈ R[sup n×n], find ? ∈ S[sub E] such that ||A[sup *] - ?||[sub F] = ... ||A[sup *] - A||[sub F] where || · ||[sub F] is Frobenius norm, and S[sub E] denotes the solution set of problem I. The necessary and sufficient conditions for the solvability of problem I have been studied. The general form of S[sub E] has been given. For problem II the expression of the solution has been provided. [ABSTRACT FROM AUTHOR] 展开更多
关键词 Frobenius norm bisymmetric matrix the optimal solution
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THE SOLVABILITY CONDITIONS FOR INVERSE EIGENVALUE PROBLEM OF ANTI-BISYMMETRIC MATRICES 被引量:6
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作者 Dong-xiu Xie Xi-yan Hu Lei Zhang 《Journal of Computational Mathematics》 SCIE CSCD 2002年第3期245-256,共12页
Presents information on a study which discussed the inverse eigenvalue problem used in engineering. Solvability conditions and general form of the solutions in real number field; Theorems; Expression of solution.
关键词 eigenvalue problem NORM approximate solution
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