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LOW AUTO-CORRELATION BINARY SEQUENCES EXPLORED USING WARNING PROPAGATION.

The search for binary sequences with low auto-correlations (LABS) is a computationally hard discrete combinatorial optimization problem. We analyze two physically inspired algorithms to explore the low energy space of this model. The greedy, T = 0, Monte Carlo (MC) method gets trapped into the expon...

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Published in:Revista Cubana de Física Vol. 38; no. 1; pp. 25 - 32
Main Authors: MARTÍNEZ-DURIVE, O. E., KOTSIREAS, I., MULET, R., LAGE-CASTELLANOS, A.
Format: Article
Published: Universidad de La Habana jul2021
Subjects:
Binary sequences
Combinatorial optimization
Warnings
Algorithms
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