Solving the algebraic Riccati equation on a hypercube multiprocessor

Authors:
J. D. Gardiner;A. J. Laub
Affiliations:
Department of Electrical and Computer Engineering, University of California, Santa Barbara, California;Department of Electrical and Computer Engineering, University of California, Santa Barbara, California
Venue:
C3P Proceedings of the third conference on Hypercube concurrent computers and applications - Volume 2
Year:
1989

Citing 1
Cited 1

Finding eigenvalues and eigenvectors of unsymmetric matrices using a hypercube multiprocessor

C3P Proceedings of the third conference on Hypercube concurrent computers and applications - Volume 2

What have we learnt from using real parallel machines to solve real problems?

C3P Proceedings of the third conference on Hypercube concurrent computers and applications - Volume 2

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Abstract

A parallel algorithm for solving the algebraic Riccati equation is described and its performance on an Intel iPSC/d5 is reported. Three variations of the matrix sign function algorithm are compared. The best one showed efficiencies of about 60 percent on large problems.