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Entropy 2017, 19(2), 61; doi:10.3390/e19020061

Computational Complexity

1
Institute of Engineering, Polytechnic of Porto, Department of Electrical Engineering, R. Dr. António Bernardino de Almeida, 431, 4249-015 Porto, Portugal
2
UISPA–LAETA/INEGI, Faculty of Engineering, University of Porto, R. Dr. Roberto Frias, 4200-465 Porto, Portugal
*
Author to whom correspondence should be addressed.
Academic Editor: Kevin Knuth
Received: 26 January 2017 / Revised: 5 February 2017 / Accepted: 5 February 2017 / Published: 7 February 2017
(This article belongs to the Special Issue Computational Complexity)
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Abstract

Complex systems (CS) involve many elements that interact at different scales in time and space. The challenges in modeling CS led to the development of novel computational tools with applications in a wide range of scientific areas. The computational problems posed by CS exhibit intrinsic difficulties that are a major concern in Computational Complexity Theory. [...]
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Keywords: complexity; complex systems; computation theory; simulation and modeling; entropy; information; algorithms complexity; complex systems; computation theory; simulation and modeling; entropy; information; algorithms
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Tenreiro Machado, J.A.; Lopes, A.M. Computational Complexity. Entropy 2017, 19, 61.

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