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A SMALLEST SINGULAR VALUE METHOD FOR SOLVING INVERSE EIGENVALUE PROBLEMS 被引量:1
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作者 S.F. Xu(Department of Mathematics, Peking University, Beijing) 《Journal of Computational Mathematics》 SCIE CSCD 1996年第1期23-31,共9页
Utilizing the properties of the smallest singular value of a matrix, we propose a new, efficient and reliable algorithm for solving nonsymmetric matrix inverse eigenvalue problems, and compare it with a known method. ... Utilizing the properties of the smallest singular value of a matrix, we propose a new, efficient and reliable algorithm for solving nonsymmetric matrix inverse eigenvalue problems, and compare it with a known method. We also present numerical experiments which illustrate our results. 展开更多
关键词 MATH A SMALLEST SINGULAR VALUE METHOD FOR solving INVERSE EIGENVALUE problemS
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