Title
Order-controlled multiple shift SBR2 algorithm for para-Hermitian polynomial matrices.
Abstract
In this work we present a new method of controlling the order growth of polynomial matrices in the multiple shift second order sequential best rotation (MS-SBR2) algorithm which has been recently proposed by the authors for calculating the polynomial matrix eigenvalue decomposition (PEVD) for para-Hermitian matrices. In effect, the proposed method introduces a new elementary delay strategy which keeps all the row (column) shifts in the same direction throughout each iteration, which therefore gives us the flexibility to control the polynomial order growth by selecting shifts that ensure non-zero coefficients are kept closer to the zero-lag plane. Simulation results confirm that further order reductions of polynomial matrices can be achieved by using this direction-fixed delay strategy for the MS-SBR2 algorithm.
Year
Venue
Field
2016
SAM
Characteristic polynomial,Mathematical optimization,Stable polynomial,Jenkins–Traub algorithm,Polynomial matrix,Polynomial,Algorithm,Monic polynomial,Matrix polynomial,Matrix multiplication,Mathematics
DocType
Citations 
PageRank 
Conference
0
0.34
References 
Authors
9
4
Name
Order
Citations
PageRank
Zeliang Wang100.34
John G. McWhirter221428.77
Jamie Corr3112.78
Weiss, Stephan420933.25