## Abstract

Based on the concept of the Laplacian matrix of a graph, this paper presents the SGPD (spectral graph pseudoperipheral and pseudodiameter) algorithm for finding a pseudoperipheral vertex or the end‐points of a pseudodiameter in a graph. This algorithm is compared with the ones by Grimes et al. (1990), George and Liu (1979), and Gibbs et al. (1976). Numerical results from a collection of benchmark test problems show the effectiveness of the proposed algorithm. Moreover, it is shown that this algorithm can be efficiently used in conjunction with heuristic algorithms for ordering sparse matrix equations. Such heuristic algorithms, of course, must be the ones which use the pseudoperipheral vertex or pseudodiameter concepts.

Original language | English (US) |
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Pages (from-to) | 913-926 |

Number of pages | 14 |

Journal | Communications in Numerical Methods in Engineering |

Volume | 10 |

Issue number | 11 |

DOIs | |

State | Published - Nov 1994 |

Externally published | Yes |

## All Science Journal Classification (ASJC) codes

- Software
- Modeling and Simulation
- Engineering(all)
- Computational Theory and Mathematics
- Applied Mathematics