Title :
Reduction of symbolic sparse matrices
Author :
Verdu, Sergio ; Herranz, J.
Author_Institution :
University of Illinois at Urbana-Champaign, Department of Electrical Engineering, Urbana, USA
Abstract :
A new general method is derived for reduction of linear systems of equations with symbolic polynomial coefficients suitable for using sparse matrix techniques. Its implementation in a program for symbolic analysis of circuits offers significant advantages over the existing reduction method.
Keywords :
linear network analysis; matrix algebra; polynomials; linear systems; linear time invariant circuits; polynomial coefficients; sparse matrix techniques;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:19810001
