Publication detail

Exploiting Matrix Sparsity for Symbolic Analysis

KOLKA, Z., BIOLKOVÁ, V., BIOLEK, D.

Original Title

Exploiting Matrix Sparsity for Symbolic Analysis

English Title

Exploiting Matrix Sparsity for Symbolic Analysis

Type

conference paper

Language

en

Original Abstract

This paper deals with a method for symbolic approximation that exploits the sparsity of circuit matrix to achieve an acceptable speed for large circuits. The method is based on a simplification of the equations of circuit models of linear or linearized circuits in the frequency domain. The simplified model is then analyzed symbolically. The algorithm proposed has been developed with the aim of obtaining maximum computational efficiency.

English abstract

This paper deals with a method for symbolic approximation that exploits the sparsity of circuit matrix to achieve an acceptable speed for large circuits. The method is based on a simplification of the equations of circuit models of linear or linearized circuits in the frequency domain. The simplified model is then analyzed symbolically. The algorithm proposed has been developed with the aim of obtaining maximum computational efficiency.

Keywords

symbolic analysis

RIV year

2004

Released

15.12.2004

Publisher

WSEAS Press

Location

Tenerife, Spain

ISBN

960-8457-06-8

Book

Proc. of 4th WSEAS International Conference on Applied Informatics and Communications

Pages from

234

Pages to

236

Pages count

3

BibTex


@inproceedings{BUT12652,
  author="Zdeněk {Kolka} and Viera {Biolková} and Dalibor {Biolek}",
  title="Exploiting Matrix Sparsity for Symbolic Analysis",
  annote="This paper deals with a method for symbolic approximation that exploits the sparsity of circuit matrix to achieve an acceptable speed for large circuits. The method is based on a simplification of the equations of circuit models of linear or linearized circuits in the frequency domain. The simplified model is then analyzed symbolically. The algorithm proposed has been developed with the aim of obtaining maximum computational efficiency.",
  address="WSEAS Press",
  booktitle="Proc. of 4th WSEAS International Conference on Applied Informatics and Communications",
  chapter="12652",
  institution="WSEAS Press",
  year="2004",
  month="december",
  pages="234",
  publisher="WSEAS Press",
  type="conference paper"
}