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The algorithmic information content for randomly perturbed systems
1. | Department of Mathematics, University of Pisa, via Buonarroti, 2/a, 56127 Pisa |
[1] |
Karsten Keller. Permutations and the Kolmogorov-Sinai entropy. Discrete and Continuous Dynamical Systems, 2012, 32 (3) : 891-900. doi: 10.3934/dcds.2012.32.891 |
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Tao Gu, Peiyu Ren, Maozhu Jin, Hua Wang. Tourism destination competitiveness evaluation in Sichuan province using TOPSIS model based on information entropy weights. Discrete and Continuous Dynamical Systems - S, 2019, 12 (4&5) : 771-782. doi: 10.3934/dcdss.2019051 |
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Jinhu Xu, Yicang Zhou. Global stability of a multi-group model with vaccination age, distributed delay and random perturbation. Mathematical Biosciences & Engineering, 2015, 12 (5) : 1083-1106. doi: 10.3934/mbe.2015.12.1083 |
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