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  • Source: Numerical Algorithms. Unidade: IME

    Subjects: OTIMIZAÇÃO MATEMÁTICA, ALGORITMOS

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      BIRGIN, Ernesto Julian Goldberg e MARTÍNEZ, José Mário. A PDE-informed optimization algorithm for river flow predictions. Numerical Algorithms, v. 96, n. 1, p. 289-304, 2024Tradução . . Disponível em: https://doi.org/10.1007/s11075-023-01647-1. Acesso em: 30 set. 2024.
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      Birgin, E. J. G., & Martínez, J. M. (2024). A PDE-informed optimization algorithm for river flow predictions. Numerical Algorithms, 96( 1), 289-304. doi:10.1007/s11075-023-01647-1
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      Birgin EJG, Martínez JM. A PDE-informed optimization algorithm for river flow predictions [Internet]. Numerical Algorithms. 2024 ; 96( 1): 289-304.[citado 2024 set. 30 ] Available from: https://doi.org/10.1007/s11075-023-01647-1
    • Vancouver

      Birgin EJG, Martínez JM. A PDE-informed optimization algorithm for river flow predictions [Internet]. Numerical Algorithms. 2024 ; 96( 1): 289-304.[citado 2024 set. 30 ] Available from: https://doi.org/10.1007/s11075-023-01647-1
  • Source: Proceedings. Conference titles: Artificial Life Conference - ALIFE. Unidade: IME

    Subjects: APRENDIZADO COMPUTACIONAL, OTIMIZAÇÃO MATEMÁTICA

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      SILVA, Flávio Soares Corrêa da e ASLAN, Bilal e NITSCHKE, Geoff. A computational method to support chemical product design based on multi-objective optimisation and graph transformers. 2023, Anais.. Cambridge, MA: MIT Press, 2023. Disponível em: https://doi.org/10.1162/isal_a_00602. Acesso em: 30 set. 2024.
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      Silva, F. S. C. da, Aslan, B., & Nitschke, G. (2023). A computational method to support chemical product design based on multi-objective optimisation and graph transformers. In Proceedings. Cambridge, MA: MIT Press. doi:10.1162/isal_a_00602
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      Silva FSC da, Aslan B, Nitschke G. A computational method to support chemical product design based on multi-objective optimisation and graph transformers [Internet]. Proceedings. 2023 ;[citado 2024 set. 30 ] Available from: https://doi.org/10.1162/isal_a_00602
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      Silva FSC da, Aslan B, Nitschke G. A computational method to support chemical product design based on multi-objective optimisation and graph transformers [Internet]. Proceedings. 2023 ;[citado 2024 set. 30 ] Available from: https://doi.org/10.1162/isal_a_00602
  • Source: SN Computer Science. Unidades: IME, ICMC

    Subjects: APRENDIZADO COMPUTACIONAL, PESQUISA OPERACIONAL, REGRESSÃO, OTIMIZAÇÃO MATEMÁTICA

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      ESPADOTO, Mateus et al. Visualizing high-dimensional functions with dense maps. SN Computer Science, v. 4, n. artigo 230, p. 1, 2023Tradução . . Disponível em: https://doi.org/10.1007/s42979-022-01664-2. Acesso em: 30 set. 2024.
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      Espadoto, M., Rodrigues, F. C. M., Hirata, N. S. T., & Telea, A. C. (2023). Visualizing high-dimensional functions with dense maps. SN Computer Science, 4( artigo 230), 1. doi:10.1007/s42979-022-01664-2
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      Espadoto M, Rodrigues FCM, Hirata NST, Telea AC. Visualizing high-dimensional functions with dense maps [Internet]. SN Computer Science. 2023 ; 4( artigo 230): 1.[citado 2024 set. 30 ] Available from: https://doi.org/10.1007/s42979-022-01664-2
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      Espadoto M, Rodrigues FCM, Hirata NST, Telea AC. Visualizing high-dimensional functions with dense maps [Internet]. SN Computer Science. 2023 ; 4( artigo 230): 1.[citado 2024 set. 30 ] Available from: https://doi.org/10.1007/s42979-022-01664-2
  • Source: ESAIM: Control, Optimisation and Calculus of Variations. Unidade: IME

    Subjects: OTIMIZAÇÃO MATEMÁTICA, CONTROLE ÓTIMO, EQUAÇÕES DIFERENCIAIS PARCIAIS

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      LAURAIN, Antoine e LOPES, Pedro Tavares Paes e NAKASATO, Jean Carlos. An abstract Lagrangian framework for computing shape derivatives. ESAIM: Control, Optimisation and Calculus of Variations, v. 29, n. artigo 5, p. 1-35, 2023Tradução . . Disponível em: https://doi.org/10.1051/cocv/2022078. Acesso em: 30 set. 2024.
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      Laurain, A., Lopes, P. T. P., & Nakasato, J. C. (2023). An abstract Lagrangian framework for computing shape derivatives. ESAIM: Control, Optimisation and Calculus of Variations, 29( artigo 5), 1-35. doi:10.1051/cocv/2022078
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      Laurain A, Lopes PTP, Nakasato JC. An abstract Lagrangian framework for computing shape derivatives [Internet]. ESAIM: Control, Optimisation and Calculus of Variations. 2023 ;29( artigo 5): 1-35.[citado 2024 set. 30 ] Available from: https://doi.org/10.1051/cocv/2022078
    • Vancouver

      Laurain A, Lopes PTP, Nakasato JC. An abstract Lagrangian framework for computing shape derivatives [Internet]. ESAIM: Control, Optimisation and Calculus of Variations. 2023 ;29( artigo 5): 1-35.[citado 2024 set. 30 ] Available from: https://doi.org/10.1051/cocv/2022078
  • Source: SIAM Journal on Scientific Computing. Unidade: IME

    Subjects: OTIMIZAÇÃO MATEMÁTICA, EMPACOTAMENTO E COBERTURA

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      BIRGIN, Ernesto Julian Goldberg et al. A Shape-Newton approach to the problem of covering with identical balls. SIAM Journal on Scientific Computing, v. 44, n. 2, p. A798-A824, 2022Tradução . . Disponível em: https://doi.org/10.1137/21M1426067. Acesso em: 30 set. 2024.
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      Birgin, E. J. G., Laurain, A., Massambone, R., & Santana, A. G. (2022). A Shape-Newton approach to the problem of covering with identical balls. SIAM Journal on Scientific Computing, 44( 2), A798-A824. doi:10.1137/21M1426067
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      Birgin EJG, Laurain A, Massambone R, Santana AG. A Shape-Newton approach to the problem of covering with identical balls [Internet]. SIAM Journal on Scientific Computing. 2022 ; 44( 2): A798-A824.[citado 2024 set. 30 ] Available from: https://doi.org/10.1137/21M1426067
    • Vancouver

      Birgin EJG, Laurain A, Massambone R, Santana AG. A Shape-Newton approach to the problem of covering with identical balls [Internet]. SIAM Journal on Scientific Computing. 2022 ; 44( 2): A798-A824.[citado 2024 set. 30 ] Available from: https://doi.org/10.1137/21M1426067
  • Unidade: EP

    Subjects: OTIMIZAÇÃO MATEMÁTICA, MATLAB, GESTÃO DE PROJETOS

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      BRASIL, Reyolando Manoel Lopes Rebello da Fonseca e SILVA, Marcelo Araújo da. Project optimization: using MATLAB and SOLVER. . Berlin: De Gruyter. Disponível em: https://doi.org/10.1515/9783110625622-202. Acesso em: 30 set. 2024. , 2021
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      Brasil, R. M. L. R. da F., & Silva, M. A. da. (2021). Project optimization: using MATLAB and SOLVER. Berlin: De Gruyter. doi:10.1515/9783110625622-202
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      Brasil RMLR da F, Silva MA da. Project optimization: using MATLAB and SOLVER [Internet]. 2021 ;[citado 2024 set. 30 ] Available from: https://doi.org/10.1515/9783110625622-202
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      Brasil RMLR da F, Silva MA da. Project optimization: using MATLAB and SOLVER [Internet]. 2021 ;[citado 2024 set. 30 ] Available from: https://doi.org/10.1515/9783110625622-202
  • Source: Proceedings. Conference titles: EAGE Annual Conference & Exhibition Workshop. Unidade: IME

    Subjects: OTIMIZAÇÃO MATEMÁTICA, MÉTODOS TOPOLÓGICOS

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      ROBERTS, K e LAURAIN, Antoine e ALBUQUERQUE, Yuri Flores. Sharp-interface imaging in full waveform inversion using finite elements. 2021, Anais.. Houten: EAGE, 2021. Disponível em: https://doi.org/10.3997/2214-4609.202113171. Acesso em: 30 set. 2024.
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      Roberts, K., Laurain, A., & Albuquerque, Y. F. (2021). Sharp-interface imaging in full waveform inversion using finite elements. In Proceedings. Houten: EAGE. doi:10.3997/2214-4609.202113171
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      Roberts K, Laurain A, Albuquerque YF. Sharp-interface imaging in full waveform inversion using finite elements [Internet]. Proceedings. 2021 ;[citado 2024 set. 30 ] Available from: https://doi.org/10.3997/2214-4609.202113171
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      Roberts K, Laurain A, Albuquerque YF. Sharp-interface imaging in full waveform inversion using finite elements [Internet]. Proceedings. 2021 ;[citado 2024 set. 30 ] Available from: https://doi.org/10.3997/2214-4609.202113171
  • Source: SIAM Journal on Control and Optimization. Unidade: IME

    Subjects: EQUAÇÕES DIFERENCIAIS PARCIAIS, OTIMIZAÇÃO MATEMÁTICA, CÁLCULO DE VARIAÇÕES, DESIGUALDADES VARIACIONAIS

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      LAURAIN, Antoine e WINCKLER, Malte e YOUSEPT, Irwin. Shape optimization for superconductors governed by H(curl)-elliptic variational inequalities. SIAM Journal on Control and Optimization, v. 59, n. 3, p. 2247-2272, 2021Tradução . . Disponível em: https://doi.org/10.1137/19M1294150. Acesso em: 30 set. 2024.
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      Laurain, A., Winckler, M., & Yousept, I. (2021). Shape optimization for superconductors governed by H(curl)-elliptic variational inequalities. SIAM Journal on Control and Optimization, 59( 3), 2247-2272. doi:10.1137/19M1294150
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      Laurain A, Winckler M, Yousept I. Shape optimization for superconductors governed by H(curl)-elliptic variational inequalities [Internet]. SIAM Journal on Control and Optimization. 2021 ; 59( 3): 2247-2272.[citado 2024 set. 30 ] Available from: https://doi.org/10.1137/19M1294150
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      Laurain A, Winckler M, Yousept I. Shape optimization for superconductors governed by H(curl)-elliptic variational inequalities [Internet]. SIAM Journal on Control and Optimization. 2021 ; 59( 3): 2247-2272.[citado 2024 set. 30 ] Available from: https://doi.org/10.1137/19M1294150
  • Source: Cold Regions Science and Technology. Unidade: EP

    Subjects: OTIMIZAÇÃO MATEMÁTICA, DINÂMICA DAS ESTRUTURAS, ONDAS

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      AMARO JUNIOR, Rubens Augusto et al. A fully Lagrangian DEM-MPS mesh-free model for ice-wave dynamics. Cold Regions Science and Technology, v. 186, p. 25 on-line, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.coldregions.2021.103266. Acesso em: 30 set. 2024.
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      Amaro Junior, R. A., Mellado Cusicahua, A. N., Shakibaeinia, A., & Cheng, L. Y. (2021). A fully Lagrangian DEM-MPS mesh-free model for ice-wave dynamics. Cold Regions Science and Technology, 186, 25 on-line. doi:10.1016/j.coldregions.2021.103266
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      Amaro Junior RA, Mellado Cusicahua AN, Shakibaeinia A, Cheng LY. A fully Lagrangian DEM-MPS mesh-free model for ice-wave dynamics [Internet]. Cold Regions Science and Technology. 2021 ; 186 25 on-line.[citado 2024 set. 30 ] Available from: https://doi.org/10.1016/j.coldregions.2021.103266
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      Amaro Junior RA, Mellado Cusicahua AN, Shakibaeinia A, Cheng LY. A fully Lagrangian DEM-MPS mesh-free model for ice-wave dynamics [Internet]. Cold Regions Science and Technology. 2021 ; 186 25 on-line.[citado 2024 set. 30 ] Available from: https://doi.org/10.1016/j.coldregions.2021.103266
  • Source: Journal of Computational Physics. Unidade: IME

    Subjects: OTIMIZAÇÃO MATEMÁTICA, EQUAÇÕES DIFERENCIAIS PARCIAIS PARABÓLICAS

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      LAURAIN, Antoine e WALKER, Shawn W. Optimal control of volume-preserving mean curvature flow. Journal of Computational Physics, v. 438, n. art. 110373, p. 1-39, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.jcp.2021.110373. Acesso em: 30 set. 2024.
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      Laurain, A., & Walker, S. W. (2021). Optimal control of volume-preserving mean curvature flow. Journal of Computational Physics, 438( art. 110373), 1-39. doi:10.1016/j.jcp.2021.110373
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      Laurain A, Walker SW. Optimal control of volume-preserving mean curvature flow [Internet]. Journal of Computational Physics. 2021 ; 438( art. 110373): 1-39.[citado 2024 set. 30 ] Available from: https://doi.org/10.1016/j.jcp.2021.110373
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      Laurain A, Walker SW. Optimal control of volume-preserving mean curvature flow [Internet]. Journal of Computational Physics. 2021 ; 438( art. 110373): 1-39.[citado 2024 set. 30 ] Available from: https://doi.org/10.1016/j.jcp.2021.110373
  • Source: Optimization Letters. Unidade: IME

    Assunto: OTIMIZAÇÃO MATEMÁTICA

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      BIRGIN, Ernesto Julian Goldberg et al. On the use of third-order models with fourth-order regularization for unconstrained optimization. Optimization Letters, v. 14, n. 4, p. 815-838, 2020Tradução . . Disponível em: https://doi.org/10.1007/s11590-019-01395-z. Acesso em: 30 set. 2024.
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      Birgin, E. J. G., Gardenghi, J. L. C., Martínez, J. M., & Santos, S. A. (2020). On the use of third-order models with fourth-order regularization for unconstrained optimization. Optimization Letters, 14( 4), 815-838. doi:10.1007/s11590-019-01395-z
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      Birgin EJG, Gardenghi JLC, Martínez JM, Santos SA. On the use of third-order models with fourth-order regularization for unconstrained optimization [Internet]. Optimization Letters. 2020 ; 14( 4): 815-838.[citado 2024 set. 30 ] Available from: https://doi.org/10.1007/s11590-019-01395-z
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      Birgin EJG, Gardenghi JLC, Martínez JM, Santos SA. On the use of third-order models with fourth-order regularization for unconstrained optimization [Internet]. Optimization Letters. 2020 ; 14( 4): 815-838.[citado 2024 set. 30 ] Available from: https://doi.org/10.1007/s11590-019-01395-z
  • Source: Computational Optimization and Applications. Unidade: IME

    Assunto: OTIMIZAÇÃO MATEMÁTICA

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      BIRGIN, Ernesto Julian Goldberg. Preface of the special issue dedicated to the XII Brazilian workshop on continuous optimization. [Editorial]. Computational Optimization and Applications. New York: Instituto de Matemática e Estatística, Universidade de São Paulo. Disponível em: https://doi.org/10.1007/s10589-020-00203-0. Acesso em: 30 set. 2024. , 2020
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      Birgin, E. J. G. (2020). Preface of the special issue dedicated to the XII Brazilian workshop on continuous optimization. [Editorial]. Computational Optimization and Applications. New York: Instituto de Matemática e Estatística, Universidade de São Paulo. doi:10.1007/s10589-020-00203-0
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      Birgin EJG. Preface of the special issue dedicated to the XII Brazilian workshop on continuous optimization. [Editorial] [Internet]. Computational Optimization and Applications. 2020 ; 76( 3): 615-619.[citado 2024 set. 30 ] Available from: https://doi.org/10.1007/s10589-020-00203-0
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      Birgin EJG. Preface of the special issue dedicated to the XII Brazilian workshop on continuous optimization. [Editorial] [Internet]. Computational Optimization and Applications. 2020 ; 76( 3): 615-619.[citado 2024 set. 30 ] Available from: https://doi.org/10.1007/s10589-020-00203-0
  • Source: Proceedings. Conference titles: EAGE Annual Conference & Exhibition Workshop. Unidade: IME

    Subjects: OTIMIZAÇÃO MATEMÁTICA, MÉTODOS TOPOLÓGICOS

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      ALBUQUERQUE, Yuri Flores e LAURAIN, Antoine. Reconstruction of sharp interfaces in time-domain full waveform inversion. 2020, Anais.. Houten: EAGE, 2020. Disponível em: https://doi.org/10.3997/2214-4609.202011976. Acesso em: 30 set. 2024.
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      Albuquerque, Y. F., & Laurain, A. (2020). Reconstruction of sharp interfaces in time-domain full waveform inversion. In Proceedings. Houten: EAGE. doi:10.3997/2214-4609.202011976
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      Albuquerque YF, Laurain A. Reconstruction of sharp interfaces in time-domain full waveform inversion [Internet]. Proceedings. 2020 ;[citado 2024 set. 30 ] Available from: https://doi.org/10.3997/2214-4609.202011976
    • Vancouver

      Albuquerque YF, Laurain A. Reconstruction of sharp interfaces in time-domain full waveform inversion [Internet]. Proceedings. 2020 ;[citado 2024 set. 30 ] Available from: https://doi.org/10.3997/2214-4609.202011976
  • Source: Biomass Conversion and Biorefinery. Unidades: EESC, BIOENERGIA

    Subjects: BIOMASSA, OTIMIZAÇÃO MATEMÁTICA

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      BARBOSA, Larissa de Souza Noel Simas e SANTIAGO, Patricia Soares e SELEGHIM JUNIOR, Paulo. Multi-objective optimization of biomass diffusers for solving operational problems. Biomass Conversion and Biorefinery, p. 1-19, 2020Tradução . . Disponível em: https://doi.org/10.1007/s13399-020-00845-4. Acesso em: 30 set. 2024.
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      Barbosa, L. de S. N. S., Santiago, P. S., & Seleghim Junior, P. (2020). Multi-objective optimization of biomass diffusers for solving operational problems. Biomass Conversion and Biorefinery, 1-19. doi:10.1007/s13399-020-00845-4
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      Barbosa L de SNS, Santiago PS, Seleghim Junior P. Multi-objective optimization of biomass diffusers for solving operational problems [Internet]. Biomass Conversion and Biorefinery. 2020 ; 1-19.[citado 2024 set. 30 ] Available from: https://doi.org/10.1007/s13399-020-00845-4
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      Barbosa L de SNS, Santiago PS, Seleghim Junior P. Multi-objective optimization of biomass diffusers for solving operational problems [Internet]. Biomass Conversion and Biorefinery. 2020 ; 1-19.[citado 2024 set. 30 ] Available from: https://doi.org/10.1007/s13399-020-00845-4
  • Source: Program & abstracts book. Conference titles: International Congress on Industrial and Applied Mathematics - ICIAM. Unidade: IME

    Assunto: OTIMIZAÇÃO MATEMÁTICA

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      LAURAIN, Antoine. Recent advances in nonsmooth shape optimization. 2019, Anais.. Madrid: Sociedad Española de Matemática Aplicada (SeMA), 2019. Disponível em: https://iciam2019.org/images/site/news/ICIAM2019_PROGRAM_ABSTRACTS_BOOK.pdf. Acesso em: 30 set. 2024.
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      Laurain, A. (2019). Recent advances in nonsmooth shape optimization. In Program & abstracts book. Madrid: Sociedad Española de Matemática Aplicada (SeMA). Recuperado de https://iciam2019.org/images/site/news/ICIAM2019_PROGRAM_ABSTRACTS_BOOK.pdf
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      Laurain A. Recent advances in nonsmooth shape optimization [Internet]. Program & abstracts book. 2019 ;[citado 2024 set. 30 ] Available from: https://iciam2019.org/images/site/news/ICIAM2019_PROGRAM_ABSTRACTS_BOOK.pdf
    • Vancouver

      Laurain A. Recent advances in nonsmooth shape optimization [Internet]. Program & abstracts book. 2019 ;[citado 2024 set. 30 ] Available from: https://iciam2019.org/images/site/news/ICIAM2019_PROGRAM_ABSTRACTS_BOOK.pdf
  • Source: Autonomous Robots. Unidade: ICMC

    Subjects: APRENDIZADO COMPUTACIONAL, PROCESSAMENTO DE IMAGENS, VISÃO COMPUTACIONAL, AERONAVES NÃO TRIPULADAS, OTIMIZAÇÃO MATEMÁTICA

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      VIVALDINI, Kelen C. T. et al. UAV route planning for active disease classification. Autonomous Robots, v. 43, p. 1137-1153, 2019Tradução . . Disponível em: https://doi.org/10.1007/s10514-018-9790-x. Acesso em: 30 set. 2024.
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      Vivaldini, K. C. T., Martinelli, T. H., Guizilini, V. C., Souza, J. R., Oliveira, M. D. C., Ramos, F., & Wolf, D. F. (2019). UAV route planning for active disease classification. Autonomous Robots, 43, 1137-1153. doi:10.1007/s10514-018-9790-x
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      Vivaldini KCT, Martinelli TH, Guizilini VC, Souza JR, Oliveira MDC, Ramos F, Wolf DF. UAV route planning for active disease classification [Internet]. Autonomous Robots. 2019 ; 43 1137-1153.[citado 2024 set. 30 ] Available from: https://doi.org/10.1007/s10514-018-9790-x
    • Vancouver

      Vivaldini KCT, Martinelli TH, Guizilini VC, Souza JR, Oliveira MDC, Ramos F, Wolf DF. UAV route planning for active disease classification [Internet]. Autonomous Robots. 2019 ; 43 1137-1153.[citado 2024 set. 30 ] Available from: https://doi.org/10.1007/s10514-018-9790-x
  • Source: Neural Networks. Unidade: FFCLRP

    Subjects: REDES COMPLEXAS, APRENDIZADO COMPUTACIONAL, OTIMIZAÇÃO MATEMÁTICA

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      CARNEIRO, Murillo G. et al. Particle swarm optimization for network-based data classification. Neural Networks, v. 110, p. 243-255, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.neunet.2018.12.003. Acesso em: 30 set. 2024.
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      Carneiro, M. G., Cheng, R., Zhao, L., & Jin, Y. (2019). Particle swarm optimization for network-based data classification. Neural Networks, 110, 243-255. doi:10.1016/j.neunet.2018.12.003
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      Carneiro MG, Cheng R, Zhao L, Jin Y. Particle swarm optimization for network-based data classification [Internet]. Neural Networks. 2019 ; 110 243-255.[citado 2024 set. 30 ] Available from: https://doi.org/10.1016/j.neunet.2018.12.003
    • Vancouver

      Carneiro MG, Cheng R, Zhao L, Jin Y. Particle swarm optimization for network-based data classification [Internet]. Neural Networks. 2019 ; 110 243-255.[citado 2024 set. 30 ] Available from: https://doi.org/10.1016/j.neunet.2018.12.003
  • Source: Conference book. Conference titles: International Conference on Continuous Optimization - ICCOPT. Unidade: IME

    Subjects: OTIMIZAÇÃO MATEMÁTICA, PROGRAMAÇÃO MATEMÁTICA

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      BIRGIN, Ernesto Julian Goldberg e MARTÍNEZ, José Mário. A Newton-like method with mixed factorizations and cubic regularization and its usage in an Augmented Lagrangian framework. 2019, Anais.. Berlin: Weierstrass Institute for Applied Analysis and Stochastics (WIAS), 2019. Disponível em: https://www.iccopt2019.berlin/downloads/ICCOPT2019_Conference_Book.pdf. Acesso em: 30 set. 2024.
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      Birgin, E. J. G., & Martínez, J. M. (2019). A Newton-like method with mixed factorizations and cubic regularization and its usage in an Augmented Lagrangian framework. In Conference book. Berlin: Weierstrass Institute for Applied Analysis and Stochastics (WIAS). Recuperado de https://www.iccopt2019.berlin/downloads/ICCOPT2019_Conference_Book.pdf
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      Birgin EJG, Martínez JM. A Newton-like method with mixed factorizations and cubic regularization and its usage in an Augmented Lagrangian framework [Internet]. Conference book. 2019 ;[citado 2024 set. 30 ] Available from: https://www.iccopt2019.berlin/downloads/ICCOPT2019_Conference_Book.pdf
    • Vancouver

      Birgin EJG, Martínez JM. A Newton-like method with mixed factorizations and cubic regularization and its usage in an Augmented Lagrangian framework [Internet]. Conference book. 2019 ;[citado 2024 set. 30 ] Available from: https://www.iccopt2019.berlin/downloads/ICCOPT2019_Conference_Book.pdf
  • Source: Computational Optimization and Applications. Unidade: IME

    Subjects: OTIMIZAÇÃO MATEMÁTICA, PROGRAMAÇÃO MATEMÁTICA

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    • ABNT

      BIRGIN, Ernesto Julian Goldberg e MARTINEZ, José Mario. A Newton-like method with mixed factorizations and cubic regularization for unconstrained minimization. Computational Optimization and Applications, v. 73, n. 3, p. 707-753, 2019Tradução . . Disponível em: https://doi.org/10.1007/s10589-019-00089-7. Acesso em: 30 set. 2024.
    • APA

      Birgin, E. J. G., & Martinez, J. M. (2019). A Newton-like method with mixed factorizations and cubic regularization for unconstrained minimization. Computational Optimization and Applications, 73( 3), 707-753. doi:10.1007/s10589-019-00089-7
    • NLM

      Birgin EJG, Martinez JM. A Newton-like method with mixed factorizations and cubic regularization for unconstrained minimization [Internet]. Computational Optimization and Applications. 2019 ; 73( 3): 707-753.[citado 2024 set. 30 ] Available from: https://doi.org/10.1007/s10589-019-00089-7
    • Vancouver

      Birgin EJG, Martinez JM. A Newton-like method with mixed factorizations and cubic regularization for unconstrained minimization [Internet]. Computational Optimization and Applications. 2019 ; 73( 3): 707-753.[citado 2024 set. 30 ] Available from: https://doi.org/10.1007/s10589-019-00089-7
  • Source: Radiation Protection Dosimetry. Unidade: FFCLRP

    Subjects: DOSIMETRIA, OTIMIZAÇÃO MATEMÁTICA, BIOFÍSICA

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      MAUÉS, Nadine Helena Pelegrino Bastos et al. Abdomen–pelvis computed tomography protocol optimization: an image quality and dose assessment. Radiation Protection Dosimetry, v. 184, n. 1, p. 66-72, 2019Tradução . . Disponível em: https://doi.org/10.1093/rpd/ncy181. Acesso em: 30 set. 2024.
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      Maués, N. H. P. B., Alves, A. F. F., Pavan, A. L. M., Ribeiro, S. M., Yamashita, S., Trindade, A. P., et al. (2019). Abdomen–pelvis computed tomography protocol optimization: an image quality and dose assessment. Radiation Protection Dosimetry, 184( 1), 66-72. doi:10.1093/rpd/ncy181
    • NLM

      Maués NHPB, Alves AFF, Pavan ALM, Ribeiro SM, Yamashita S, Trindade AP, Mascarenhas YM, Nicolucci P, Pina DR de. Abdomen–pelvis computed tomography protocol optimization: an image quality and dose assessment [Internet]. Radiation Protection Dosimetry. 2019 ; 184( 1): 66-72.[citado 2024 set. 30 ] Available from: https://doi.org/10.1093/rpd/ncy181
    • Vancouver

      Maués NHPB, Alves AFF, Pavan ALM, Ribeiro SM, Yamashita S, Trindade AP, Mascarenhas YM, Nicolucci P, Pina DR de. Abdomen–pelvis computed tomography protocol optimization: an image quality and dose assessment [Internet]. Radiation Protection Dosimetry. 2019 ; 184( 1): 66-72.[citado 2024 set. 30 ] Available from: https://doi.org/10.1093/rpd/ncy181

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