References in zbMATH (referenced in 10 articles )

Showing results 1 to 10 of 10.
Sorted by year (citations)

  1. Martins, Joaquim R. R. A.: Aerodynamic design optimization: challenges and perspectives (2022)
  2. Toscano-Palmerin, Saul; Frazier, Peter I.: Bayesian optimization with expensive integrands (2022)
  3. Brigitte Boden, Jan Flink, Niklas Först, Robert Mischke, Kathrin Schaffert, Alexander Weinert, Annika Wohlan, Andreas Schreiber: RCE: An Integration Environment for Engineering and Science (2021) not zbMATH
  4. Ghantasala, Aditya; Najian Asl, Reza; Geiser, Armin; Brodie, Andrew; Papoutsis, Efthymios; Bletzinger, Kai-Uwe: Realization of a framework for simulation-based large-scale shape optimization using vertex morphing (2021)
  5. Hebbal, Ali; Brevault, Loïc; Balesdent, Mathieu; Talbi, El-Ghazali; Melab, Nouredine: Bayesian optimization using deep Gaussian processes with applications to aerospace system design (2021)
  6. Robert Falck; Justin S. Gray; Kaushik Ponnapalli; Ted Wright: dymos: A Python package for optimal control of multidisciplinary systems (2021) not zbMATH
  7. Feppon, F.; Allaire, G.; Dapogny, C.; Jolivet, P.: Topology optimization of thermal fluid-structure systems using body-fitted meshes and parallel computing (2020)
  8. Hwang, John T.; Martins, Joaquim R. R. A.: A computational architecture for coupling heterogeneous numerical models and computing coupled derivatives (2018)
  9. Lambe, Andrew B.; Martins, Joaquim R. R. A.: Extensions to the design structure matrix for the description of multidisciplinary design, analysis, and optimization processes (2012)
  10. Perez, Ruben E.; Jansen, Peter W.; Martins, Joaquim R. R. A.: PyOpt: a python-based object-oriented framework for nonlinear constrained optimization (2012)


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