Matrix Bandwith Minimization: A Neural Approach

 

Abstract

The aim of this paper is to present a neural technique to tackle the bandwidth minimization problem. This neural model, successfully applied to other problems, presents better solutions than those of other classical approaches to this problem, as shown by the simulations performed.

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Citation

Please, cite this work as:

[LM19] D. López-Rodríguez and E. Mérida-Casermeiro. “Matrix bandwidth minimization: A neural approach”. In: International Conference of Computational Methods in Sciences and Engineering 2004 (ICCMSE 2004). CRC Press. 2019, pp. 324-327.

BibTeX

@inproceedings{lopez2019matrix,
     title={Matrix bandwidth minimization: A neural approach},
     author={López-Rodríguez, D and Mérida-Casermeiro, E},
     booktitle={International Conference of Computational Methods in Sciences and Engineering 2004 (ICCMSE 2004)},
     pages={324–327},
     year={2019},
     organization={CRC Press}
}