A new algorithm for the generalized eigenvalue problem

被引:0
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作者
Huper, K
Helmke, U
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中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
The problem of finding the generalized eigenvalues and eigenvectors of a pair of real symmetric matrices A and B, with B > 0, can be viewed as a smooth optimization problem on a smooth manifold. We present a cost function approach to the generalized eigenvalue problem which is posed on the product of the n-sphere and Euclidian space R. The critical point set of this cost function is studied. An algorithm is presented based on constrained optimization. A proof of local quadratic convergence is given.
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页码:35 / 38
页数:4
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