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  • Source: Communications in Nonlinear Science and Numerical Simulation. Unidade: ICMC

    Subjects: TEORIA QUALITATIVA, TEORIA DA BIFURCAÇÃO, SISTEMAS DINÂMICOS

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      CRUZ, Leonardo Pereira Costa da e OLIVEIRA, Regilene Delazari dos Santos e TORREGROSA, Joan. Limit cycles in piecewise quadratic Kolmogorov systems. Communications in Nonlinear Science and Numerical Simulation, v. 152, n. Ja 2026, p. 1-16, 2026Tradução . . Disponível em: https://doi.org/10.1016/j.cnsns.2025.109285. Acesso em: 05 nov. 2025.
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      Cruz, L. P. C. da, Oliveira, R. D. dos S., & Torregrosa, J. (2026). Limit cycles in piecewise quadratic Kolmogorov systems. Communications in Nonlinear Science and Numerical Simulation, 152( Ja 2026), 1-16. doi:10.1016/j.cnsns.2025.109285
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      Cruz LPC da, Oliveira RD dos S, Torregrosa J. Limit cycles in piecewise quadratic Kolmogorov systems [Internet]. Communications in Nonlinear Science and Numerical Simulation. 2026 ; 152( Ja 2026): 1-16.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1016/j.cnsns.2025.109285
    • Vancouver

      Cruz LPC da, Oliveira RD dos S, Torregrosa J. Limit cycles in piecewise quadratic Kolmogorov systems [Internet]. Communications in Nonlinear Science and Numerical Simulation. 2026 ; 152( Ja 2026): 1-16.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1016/j.cnsns.2025.109285
  • Source: Communications in Nonlinear Science and Numerical Simulation. Unidade: ICMC

    Subjects: EQUAÇÕES DIFERENCIAIS PARCIAIS, EQUAÇÕES DIFERENCIAIS PARCIAIS PARABÓLICAS, ATRATORES, SISTEMAS DISSIPATIVO

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      AZEVEDO, Vinícius Tavares e LÓPEZ-LÁZARO, Heraclio e TAKAESSU JUNIOR, Carlos Roberto. Existence and continuity of pullback exponential attractors for a family of non-classical reaction-diffusion equations. Communications in Nonlinear Science and Numerical Simulation, v. 152, n. Ja 2026, p. 1-12, 2026Tradução . . Disponível em: https://doi.org/10.1016/j.cnsns.2025.109198. Acesso em: 05 nov. 2025.
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      Azevedo, V. T., López-Lázaro, H., & Takaessu Junior, C. R. (2026). Existence and continuity of pullback exponential attractors for a family of non-classical reaction-diffusion equations. Communications in Nonlinear Science and Numerical Simulation, 152( Ja 2026), 1-12. doi:10.1016/j.cnsns.2025.109198
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      Azevedo VT, López-Lázaro H, Takaessu Junior CR. Existence and continuity of pullback exponential attractors for a family of non-classical reaction-diffusion equations [Internet]. Communications in Nonlinear Science and Numerical Simulation. 2026 ; 152( Ja 2026): 1-12.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1016/j.cnsns.2025.109198
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      Azevedo VT, López-Lázaro H, Takaessu Junior CR. Existence and continuity of pullback exponential attractors for a family of non-classical reaction-diffusion equations [Internet]. Communications in Nonlinear Science and Numerical Simulation. 2026 ; 152( Ja 2026): 1-12.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1016/j.cnsns.2025.109198
  • Source: Communications in Nonlinear Science and Numerical Simulation. Unidade: IME

    Subjects: SISTEMAS DINÂMICOS, MECÂNICA CELESTE

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      OLIVEIRA, Vitor Martins de. Multistability and complexity in the planar spin-orbit problem. Communications in Nonlinear Science and Numerical Simulation, v. 150, n. artigo 109024, p. 1-13, 2025Tradução . . Disponível em: https://doi.org/10.1016/j.cnsns.2025.109024. Acesso em: 05 nov. 2025.
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      Oliveira, V. M. de. (2025). Multistability and complexity in the planar spin-orbit problem. Communications in Nonlinear Science and Numerical Simulation, 150( artigo 109024), 1-13. doi:10.1016/j.cnsns.2025.109024
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      Oliveira VM de. Multistability and complexity in the planar spin-orbit problem [Internet]. Communications in Nonlinear Science and Numerical Simulation. 2025 ; 150( artigo 109024): 1-13.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1016/j.cnsns.2025.109024
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      Oliveira VM de. Multistability and complexity in the planar spin-orbit problem [Internet]. Communications in Nonlinear Science and Numerical Simulation. 2025 ; 150( artigo 109024): 1-13.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1016/j.cnsns.2025.109024
  • Source: Communications in Nonlinear Science and Numerical Simulation. Unidade: IFSC

    Subjects: FÍSICA COMPUTACIONAL, AUTÔMATOS CELULARES, TEORIA DA INFORMAÇÃO E COMUNICAÇÃO

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      ROLLIER, Michiel et al. A comprehensive taxonomy of cellular automata. Communications in Nonlinear Science and Numerical Simulation, v. 140, n. Ja 2025, p. 108362-1-108362-31, 2025Tradução . . Disponível em: https://doi.org/10.1016/j.cnsns.2024.108362. Acesso em: 05 nov. 2025.
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      Rollier, M., Zielinski, K. M. C., Daly, A. J., Bruno, O. M., & Baetens, J. M. (2025). A comprehensive taxonomy of cellular automata. Communications in Nonlinear Science and Numerical Simulation, 140( Ja 2025), 108362-1-108362-31. doi:10.1016/j.cnsns.2024.108362
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      Rollier M, Zielinski KMC, Daly AJ, Bruno OM, Baetens JM. A comprehensive taxonomy of cellular automata [Internet]. Communications in Nonlinear Science and Numerical Simulation. 2025 ; 140( Ja 2025): 108362-1-108362-31.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1016/j.cnsns.2024.108362
    • Vancouver

      Rollier M, Zielinski KMC, Daly AJ, Bruno OM, Baetens JM. A comprehensive taxonomy of cellular automata [Internet]. Communications in Nonlinear Science and Numerical Simulation. 2025 ; 140( Ja 2025): 108362-1-108362-31.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1016/j.cnsns.2024.108362
  • Source: Communications in Nonlinear Science and Numerical Simulation. Unidade: FFCLRP

    Subjects: SINGULARIDADES, SISTEMAS DINÂMICOS, SISTEMAS DIFERENCIAIS

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      CARVALHO, Tiago de. Planar quartic–quadratic fold–fold singularity of Filippov systems and its bifurcation. Communications in Nonlinear Science and Numerical Simulation, v. 134, p. 1-31, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.cnsns.2024.108012. Acesso em: 05 nov. 2025.
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      Carvalho, T. de. (2024). Planar quartic–quadratic fold–fold singularity of Filippov systems and its bifurcation. Communications in Nonlinear Science and Numerical Simulation, 134, 1-31. doi:10.1016/j.cnsns.2024.108012
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      Carvalho T de. Planar quartic–quadratic fold–fold singularity of Filippov systems and its bifurcation [Internet]. Communications in Nonlinear Science and Numerical Simulation. 2024 ; 134 1-31.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1016/j.cnsns.2024.108012
    • Vancouver

      Carvalho T de. Planar quartic–quadratic fold–fold singularity of Filippov systems and its bifurcation [Internet]. Communications in Nonlinear Science and Numerical Simulation. 2024 ; 134 1-31.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1016/j.cnsns.2024.108012
  • Source: Communications in Nonlinear Science and Numerical Simulation. Unidade: IME

    Assunto: EQUAÇÕES INTEGRO-DIFERENCIAIS

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      STEINDORF, Vanessa et al. Symmetry in a multi-strain epidemiological model with distributed delay as a general cross-protection period and disease enhancement factor. Communications in Nonlinear Science and Numerical Simulation, v. 128, n. artigo 107663, p. 1-21, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.cnsns.2023.107663. Acesso em: 05 nov. 2025.
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      Steindorf, V., Oliva, S. M., Stollenwerk, N., & Aguiar, M. (2024). Symmetry in a multi-strain epidemiological model with distributed delay as a general cross-protection period and disease enhancement factor. Communications in Nonlinear Science and Numerical Simulation, 128( artigo 107663), 1-21. doi:10.1016/j.cnsns.2023.107663
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      Steindorf V, Oliva SM, Stollenwerk N, Aguiar M. Symmetry in a multi-strain epidemiological model with distributed delay as a general cross-protection period and disease enhancement factor [Internet]. Communications in Nonlinear Science and Numerical Simulation. 2024 ; 128( artigo 107663): 1-21.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1016/j.cnsns.2023.107663
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      Steindorf V, Oliva SM, Stollenwerk N, Aguiar M. Symmetry in a multi-strain epidemiological model with distributed delay as a general cross-protection period and disease enhancement factor [Internet]. Communications in Nonlinear Science and Numerical Simulation. 2024 ; 128( artigo 107663): 1-21.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1016/j.cnsns.2023.107663
  • Source: Communications in Nonlinear Science and Numerical Simulation. Unidade: IF

    Subjects: SISTEMAS HAMILTONIANOS, CAOS (SISTEMAS DINÂMICOS)

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      LAZAROTTO, Matheus Jean e CALDAS, Iberê Luiz e ELSKENS, Yves. Diffusion transitions in a 2D periodic lattice. Communications in Nonlinear Science and Numerical Simulation, v. 112, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.cnsns.2022.106525. Acesso em: 05 nov. 2025.
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      Lazarotto, M. J., Caldas, I. L., & Elskens, Y. (2022). Diffusion transitions in a 2D periodic lattice. Communications in Nonlinear Science and Numerical Simulation, 112. doi:10.1016/j.cnsns.2022.106525
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      Lazarotto MJ, Caldas IL, Elskens Y. Diffusion transitions in a 2D periodic lattice [Internet]. Communications in Nonlinear Science and Numerical Simulation. 2022 ; 112[citado 2025 nov. 05 ] Available from: https://doi.org/10.1016/j.cnsns.2022.106525
    • Vancouver

      Lazarotto MJ, Caldas IL, Elskens Y. Diffusion transitions in a 2D periodic lattice [Internet]. Communications in Nonlinear Science and Numerical Simulation. 2022 ; 112[citado 2025 nov. 05 ] Available from: https://doi.org/10.1016/j.cnsns.2022.106525
  • Source: Communications in Nonlinear Science and Numerical Simulation. Unidade: IF

    Subjects: FÍSICA MATEMÁTICA, BIOFÍSICA, GLIOMA, QUIMIOTERAPIA, NEOPLASIAS CEREBRAIS, EQUAÇÕES DIFERENCIAIS DA FÍSICA

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      TROBIA, José et al. Mathematical model of brain tumour growth with drug resistance. Communications in Nonlinear Science and Numerical Simulation, v. 103, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.cnsns.2021.106013. Acesso em: 05 nov. 2025.
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      Trobia, J., Tian, K., Batista, A., Grebogi, C., Ren, H. -P., Santos, M. S., et al. (2021). Mathematical model of brain tumour growth with drug resistance. Communications in Nonlinear Science and Numerical Simulation, 103. doi:10.1016/j.cnsns.2021.106013
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      Trobia J, Tian K, Batista A, Grebogi C, Ren H-P, Santos MS, Protachevicz RP, Borges FS, Szezech JD, Viana RL, Caldas IL, Iarosz KC. Mathematical model of brain tumour growth with drug resistance [Internet]. Communications in Nonlinear Science and Numerical Simulation. 2021 ; 103[citado 2025 nov. 05 ] Available from: https://doi.org/10.1016/j.cnsns.2021.106013
    • Vancouver

      Trobia J, Tian K, Batista A, Grebogi C, Ren H-P, Santos MS, Protachevicz RP, Borges FS, Szezech JD, Viana RL, Caldas IL, Iarosz KC. Mathematical model of brain tumour growth with drug resistance [Internet]. Communications in Nonlinear Science and Numerical Simulation. 2021 ; 103[citado 2025 nov. 05 ] Available from: https://doi.org/10.1016/j.cnsns.2021.106013
  • Source: Communications in Nonlinear Science and Numerical Simulation. Unidade: IF

    Subjects: BIOFÍSICA, REDES NEURAIS, PLASTICIDADE NEURONAL, SINAPSE, NEUROTRANSMISSORES

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      LAMEU, Ewandson Luiz et al. Short-term and spike-timing-dependent plasticity facilitate the formation of modular neural networks. Communications in Nonlinear Science and Numerical Simulation, v. 96, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.cnsns.2020.105689. Acesso em: 05 nov. 2025.
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      Lameu, E. L., Borges, F. S., Iarosz, K., Protachevicz, R. P., Antonopoulos, C. G., Macau, E. E. N., & Batista, A. (2021). Short-term and spike-timing-dependent plasticity facilitate the formation of modular neural networks. Communications in Nonlinear Science and Numerical Simulation, 96. doi:10.1016/j.cnsns.2020.105689
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      Lameu EL, Borges FS, Iarosz K, Protachevicz RP, Antonopoulos CG, Macau EEN, Batista A. Short-term and spike-timing-dependent plasticity facilitate the formation of modular neural networks [Internet]. Communications in Nonlinear Science and Numerical Simulation. 2021 ; 96[citado 2025 nov. 05 ] Available from: https://doi.org/10.1016/j.cnsns.2020.105689
    • Vancouver

      Lameu EL, Borges FS, Iarosz K, Protachevicz RP, Antonopoulos CG, Macau EEN, Batista A. Short-term and spike-timing-dependent plasticity facilitate the formation of modular neural networks [Internet]. Communications in Nonlinear Science and Numerical Simulation. 2021 ; 96[citado 2025 nov. 05 ] Available from: https://doi.org/10.1016/j.cnsns.2020.105689
  • Source: Communications in Nonlinear Science and Numerical Simulation. Unidade: FZEA

    Subjects: EPILEPSIA, ELETROENCEFALOGRAFIA, MEMÓRIA, DIMENSÃO

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      DAVID, Sérgio Adriani et al. A combined measure to differentiate EEG signals using fractal dimension and MFDFA-Hurst. Communications in Nonlinear Science and Numerical Simulation, v. 84, p. 1-13, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.cnsns.2020.105170. Acesso em: 05 nov. 2025.
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      David, S. A., Machado, J. A. T., Inácio Junior, C. M. C., & Valentim Junior, C. A. (2020). A combined measure to differentiate EEG signals using fractal dimension and MFDFA-Hurst. Communications in Nonlinear Science and Numerical Simulation, 84, 1-13. doi:10.1016/j.cnsns.2020.105170
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      David SA, Machado JAT, Inácio Junior CMC, Valentim Junior CA. A combined measure to differentiate EEG signals using fractal dimension and MFDFA-Hurst [Internet]. Communications in Nonlinear Science and Numerical Simulation. 2020 ; 84 1-13.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1016/j.cnsns.2020.105170
    • Vancouver

      David SA, Machado JAT, Inácio Junior CMC, Valentim Junior CA. A combined measure to differentiate EEG signals using fractal dimension and MFDFA-Hurst [Internet]. Communications in Nonlinear Science and Numerical Simulation. 2020 ; 84 1-13.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1016/j.cnsns.2020.105170
  • Source: Communications in Nonlinear Science and Numerical Simulation. Unidade: IF

    Subjects: FÍSICA DE PLASMAS, DINÂMICA

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      PALMERO, Matheus S. et al. Ensemble separation and stickiness influence in a driven stadium-like billiard: a lyapunov exponents analysis. Communications in Nonlinear Science and Numerical Simulation, v. 65, p. 248-259, 2018Tradução . . Disponível em: https://doi.org/10.1016/j.cnsns.2018.05.024. Acesso em: 05 nov. 2025.
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      Palmero, M. S., Livorati, A. L. P., Leonel, E. D., & Caldas, I. L. (2018). Ensemble separation and stickiness influence in a driven stadium-like billiard: a lyapunov exponents analysis. Communications in Nonlinear Science and Numerical Simulation, 65, 248-259. doi:10.1016/j.cnsns.2018.05.024
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      Palmero MS, Livorati ALP, Leonel ED, Caldas IL. Ensemble separation and stickiness influence in a driven stadium-like billiard: a lyapunov exponents analysis [Internet]. Communications in Nonlinear Science and Numerical Simulation. 2018 ; 65 248-259.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1016/j.cnsns.2018.05.024
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      Palmero MS, Livorati ALP, Leonel ED, Caldas IL. Ensemble separation and stickiness influence in a driven stadium-like billiard: a lyapunov exponents analysis [Internet]. Communications in Nonlinear Science and Numerical Simulation. 2018 ; 65 248-259.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1016/j.cnsns.2018.05.024
  • Source: Communications in Nonlinear Science and Numerical Simulation. Unidade: IF

    Subjects: FÉRMIO, CAOS (SISTEMAS DINÂMICOS)

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      LIVORATI, Andre L. P. et al. Investigation of stickiness influence in the anomalous transport and diffusion for a non-dissipative Fermi–Ulam model. Communications in Nonlinear Science and Numerical Simulation, v. fe 2017, p. 225-236, 2017Tradução . . Disponível em: https://doi.org/10.1016/j.cnsns.2017.07.010. Acesso em: 05 nov. 2025.
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      Livorati, A. L. P., Palmero, M. S., Diaz, G., Leonel, E. D., Dettmann, C. P., & Caldas, I. L. (2017). Investigation of stickiness influence in the anomalous transport and diffusion for a non-dissipative Fermi–Ulam model. Communications in Nonlinear Science and Numerical Simulation, fe 2017, 225-236. doi:10.1016/j.cnsns.2017.07.010
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      Livorati ALP, Palmero MS, Diaz G, Leonel ED, Dettmann CP, Caldas IL. Investigation of stickiness influence in the anomalous transport and diffusion for a non-dissipative Fermi–Ulam model [Internet]. Communications in Nonlinear Science and Numerical Simulation. 2017 ; fe 2017 225-236.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1016/j.cnsns.2017.07.010
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      Livorati ALP, Palmero MS, Diaz G, Leonel ED, Dettmann CP, Caldas IL. Investigation of stickiness influence in the anomalous transport and diffusion for a non-dissipative Fermi–Ulam model [Internet]. Communications in Nonlinear Science and Numerical Simulation. 2017 ; fe 2017 225-236.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1016/j.cnsns.2017.07.010
  • Source: Communications in Nonlinear Science and Numerical Simulation. Unidade: IF

    Subjects: FÍSICA DE PLASMAS, MECÂNICA DOS FLUÍDOS

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      BORGES, R. R. et al. Effects of the spike timing-dependent plasticity on the synchronisation in a random hodgkin–huxley neuronal network. Communications in Nonlinear Science and Numerical Simulation, v. 34, p. 12-22, 2016Tradução . . Disponível em: https://doi.org/10.1016/j.cnsns.2015.10.005. Acesso em: 05 nov. 2025.
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      Borges, R. R., Borges, F. S., Lameu, E. L., Batista, A. M., Viana, R. L., Sanjuan, M. A. F., et al. (2016). Effects of the spike timing-dependent plasticity on the synchronisation in a random hodgkin–huxley neuronal network. Communications in Nonlinear Science and Numerical Simulation, 34, 12-22. doi:10.1016/j.cnsns.2015.10.005
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      Borges RR, Borges FS, Lameu EL, Batista AM, Viana RL, Sanjuan MAF, Iarosz KC, Caldas IL. Effects of the spike timing-dependent plasticity on the synchronisation in a random hodgkin–huxley neuronal network [Internet]. Communications in Nonlinear Science and Numerical Simulation. 2016 ; 34 12-22.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1016/j.cnsns.2015.10.005
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      Borges RR, Borges FS, Lameu EL, Batista AM, Viana RL, Sanjuan MAF, Iarosz KC, Caldas IL. Effects of the spike timing-dependent plasticity on the synchronisation in a random hodgkin–huxley neuronal network [Internet]. Communications in Nonlinear Science and Numerical Simulation. 2016 ; 34 12-22.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1016/j.cnsns.2015.10.005
  • Source: Communications in Nonlinear Science and Numerical Simulation. Unidade: IFSC

    Subjects: CRIPTOLOGIA, SISTEMAS DINÂMICOS

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      MACHICAO, Jeaneth et al. A dynamical systems approach to the discrimination of the modes of operation of cryptographic systems. Communications in Nonlinear Science and Numerical Simulation, v. 29, n. 1-3, p. 102-115, 2015Tradução . . Disponível em: https://doi.org/10.1016/j.cnsns.2015.01.022. Acesso em: 05 nov. 2025.
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      Machicao, J., Baetens, J. M., Marco, A. G., De Baets, B., & Bruno, O. M. (2015). A dynamical systems approach to the discrimination of the modes of operation of cryptographic systems. Communications in Nonlinear Science and Numerical Simulation, 29( 1-3), 102-115. doi:10.1016/j.cnsns.2015.01.022
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      Machicao J, Baetens JM, Marco AG, De Baets B, Bruno OM. A dynamical systems approach to the discrimination of the modes of operation of cryptographic systems [Internet]. Communications in Nonlinear Science and Numerical Simulation. 2015 ; 29( 1-3): 102-115.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1016/j.cnsns.2015.01.022
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      Machicao J, Baetens JM, Marco AG, De Baets B, Bruno OM. A dynamical systems approach to the discrimination of the modes of operation of cryptographic systems [Internet]. Communications in Nonlinear Science and Numerical Simulation. 2015 ; 29( 1-3): 102-115.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1016/j.cnsns.2015.01.022
  • Source: Communications in Nonlinear Science and Numerical Simulation. Unidade: EESC

    Subjects: SISTEMAS NÃO LINEARES, AEROELASTICIDADE DE AERONAVES

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      VASCONCELLOS, Rui Marcos Grombone de et al. Grazing bifurcation in aeroelastic systems with freeplay nonlinearity. Communications in Nonlinear Science and Numerical Simulation, v. 19, n. 5, p. 1611-1625, 2014Tradução . . Disponível em: https://doi.org/10.1016/j.cnsns.2013.09.022. Acesso em: 05 nov. 2025.
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      Vasconcellos, R. M. G. de, Abdelkefi, A., Hajj, M. R., & Marques, F. D. (2014). Grazing bifurcation in aeroelastic systems with freeplay nonlinearity. Communications in Nonlinear Science and Numerical Simulation, 19( 5), 1611-1625. doi:10.1016/j.cnsns.2013.09.022
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      Vasconcellos RMG de, Abdelkefi A, Hajj MR, Marques FD. Grazing bifurcation in aeroelastic systems with freeplay nonlinearity [Internet]. Communications in Nonlinear Science and Numerical Simulation. 2014 ; 19( 5): 1611-1625.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1016/j.cnsns.2013.09.022
    • Vancouver

      Vasconcellos RMG de, Abdelkefi A, Hajj MR, Marques FD. Grazing bifurcation in aeroelastic systems with freeplay nonlinearity [Internet]. Communications in Nonlinear Science and Numerical Simulation. 2014 ; 19( 5): 1611-1625.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1016/j.cnsns.2013.09.022
  • Source: Communications in Nonlinear Science and Numerical Simulation. Unidade: IF

    Subjects: PARTÍCULAS (FÍSICA NUCLEAR), QUARK, DINÂMICA DOS FLUÍDOS

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      FOGACA, D. A e FERREIRA FILHO, L. G. e NAVARRA, Fernando Silveira. Kadomtsev–petviashvili equation in relativistic fluid dynamics. Communications in Nonlinear Science and Numerical Simulation, v. fe2013, n. 2, p. 221-235, 2013Tradução . . Disponível em: https://doi.org/10.1016/j.cnsns.2012.07.006. Acesso em: 05 nov. 2025.
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      Fogaca, D. A., Ferreira Filho, L. G., & Navarra, F. S. (2013). Kadomtsev–petviashvili equation in relativistic fluid dynamics. Communications in Nonlinear Science and Numerical Simulation, fe2013( 2), 221-235. doi:10.1016/j.cnsns.2012.07.006
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      Fogaca DA, Ferreira Filho LG, Navarra FS. Kadomtsev–petviashvili equation in relativistic fluid dynamics [Internet]. Communications in Nonlinear Science and Numerical Simulation. 2013 ; fe2013( 2): 221-235.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1016/j.cnsns.2012.07.006
    • Vancouver

      Fogaca DA, Ferreira Filho LG, Navarra FS. Kadomtsev–petviashvili equation in relativistic fluid dynamics [Internet]. Communications in Nonlinear Science and Numerical Simulation. 2013 ; fe2013( 2): 221-235.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1016/j.cnsns.2012.07.006
  • Source: Communications in Nonlinear Science and Numerical Simulation. Unidade: ICMC

    Subjects: INTELIGÊNCIA ARTIFICIAL, OTIMIZAÇÃO COMBINATÓRIA

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      ROMERO, Roseli Aparecida Francelin et al. Locally oriented potential field for controlling multi-robots. Communications in Nonlinear Science and Numerical Simulation, v. 17, n. 12, p. 4664-4671, 2012Tradução . . Disponível em: https://doi.org/10.1016/j.cnsns.2011.10.027. Acesso em: 05 nov. 2025.
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      Romero, R. A. F., Prestes, E., Idiart, M. A. P., & Faria, G. (2012). Locally oriented potential field for controlling multi-robots. Communications in Nonlinear Science and Numerical Simulation, 17( 12), 4664-4671. doi:10.1016/j.cnsns.2011.10.027
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      Romero RAF, Prestes E, Idiart MAP, Faria G. Locally oriented potential field for controlling multi-robots [Internet]. Communications in Nonlinear Science and Numerical Simulation. 2012 ; 17( 12): 4664-4671.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1016/j.cnsns.2011.10.027
    • Vancouver

      Romero RAF, Prestes E, Idiart MAP, Faria G. Locally oriented potential field for controlling multi-robots [Internet]. Communications in Nonlinear Science and Numerical Simulation. 2012 ; 17( 12): 4664-4671.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1016/j.cnsns.2011.10.027
  • Source: Communications in Nonlinear Science and Numerical Simulation. Unidade: IF

    Subjects: TOKAMAKS, MAGNETISMO

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      CALDAS, Iberê Luiz et al. Nontwist symplectic maps in tokamaks. Communications in Nonlinear Science and Numerical Simulation, v. 17, n. 5, p. 2021-2030, 2012Tradução . . Disponível em: https://doi.org/10.1016/j.cnsns.2011.05.040. Acesso em: 05 nov. 2025.
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      Caldas, I. L., Viana, R. L., Roberto, M., Martins, C. G. L., Szezech Jr., J. D., Portela, J. S. E., et al. (2012). Nontwist symplectic maps in tokamaks. Communications in Nonlinear Science and Numerical Simulation, 17( 5), 2021-2030. doi:10.1016/j.cnsns.2011.05.040
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      Caldas IL, Viana RL, Roberto M, Martins CGL, Szezech Jr. JD, Portela JSE, Fonseca J, Silva EJ da. Nontwist symplectic maps in tokamaks [Internet]. Communications in Nonlinear Science and Numerical Simulation. 2012 ;17( 5): 2021-2030.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1016/j.cnsns.2011.05.040
    • Vancouver

      Caldas IL, Viana RL, Roberto M, Martins CGL, Szezech Jr. JD, Portela JSE, Fonseca J, Silva EJ da. Nontwist symplectic maps in tokamaks [Internet]. Communications in Nonlinear Science and Numerical Simulation. 2012 ;17( 5): 2021-2030.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1016/j.cnsns.2011.05.040
  • Source: Communications in Nonlinear Science and Numerical Simulation. Unidade: EP

    Assunto: REDE DE TELECOMUNICAÇÕES (OTIMIZAÇÃO)

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      BUENO, Átila Madureira et al. Design constraints for third-order PLL nodes in master-slave clock distribution networks. Communications in Nonlinear Science and Numerical Simulation, v. 15, n. 9, p. 2565-2574, 2010Tradução . . Disponível em: https://doi.org/10.1016/j.cnsns.2009.09.039. Acesso em: 05 nov. 2025.
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      Bueno, Á. M., Rigon, A. G., Ferreira, A. A., & Piqueira, J. R. C. (2010). Design constraints for third-order PLL nodes in master-slave clock distribution networks. Communications in Nonlinear Science and Numerical Simulation, 15( 9), 2565-2574. doi:10.1016/j.cnsns.2009.09.039
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      Bueno ÁM, Rigon AG, Ferreira AA, Piqueira JRC. Design constraints for third-order PLL nodes in master-slave clock distribution networks [Internet]. Communications in Nonlinear Science and Numerical Simulation. 2010 ; 15( 9): 2565-2574.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1016/j.cnsns.2009.09.039
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      Bueno ÁM, Rigon AG, Ferreira AA, Piqueira JRC. Design constraints for third-order PLL nodes in master-slave clock distribution networks [Internet]. Communications in Nonlinear Science and Numerical Simulation. 2010 ; 15( 9): 2565-2574.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1016/j.cnsns.2009.09.039
  • Source: Communications in Nonlinear Science and Numerical Simulation. Unidade: EP

    Assunto: REDE DE TELECOMUNICAÇÕES

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      FERREIRA, André Alves e BUENO, Átila Madureira e PIQUEIRA, José Roberto Castilho. Modeling and measuring double-frequency jitter in one-way master-slave networks. Communications in Nonlinear Science and Numerical Simulation, v. 14, n. 5, p. 1854-18, 2009Tradução . . Disponível em: https://doi.org/10.1016/j.cnsns.2008.09.009. Acesso em: 05 nov. 2025.
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      Ferreira, A. A., Bueno, Á. M., & Piqueira, J. R. C. (2009). Modeling and measuring double-frequency jitter in one-way master-slave networks. Communications in Nonlinear Science and Numerical Simulation, 14( 5), 1854-18. doi:10.1016/j.cnsns.2008.09.009
    • NLM

      Ferreira AA, Bueno ÁM, Piqueira JRC. Modeling and measuring double-frequency jitter in one-way master-slave networks [Internet]. Communications in Nonlinear Science and Numerical Simulation. 2009 ; 14( 5): 1854-18.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1016/j.cnsns.2008.09.009
    • Vancouver

      Ferreira AA, Bueno ÁM, Piqueira JRC. Modeling and measuring double-frequency jitter in one-way master-slave networks [Internet]. Communications in Nonlinear Science and Numerical Simulation. 2009 ; 14( 5): 1854-18.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1016/j.cnsns.2008.09.009

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