References in zbMATH (referenced in 285 articles )

Showing results 261 to 280 of 285.
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  1. Schumann-Bischoff, Jan; Luther, Stefan; Parlitz, Ulrich: Nonlinear system identification employing automatic differentiation (2013)
  2. Bell, Nathan; Hirani, Anil N.: PyDEC, software and algorithms for discretization of exterior calculus (2012)
  3. Daniel Foreman-Mackey, David W. Hogg, Dustin Lang, Jonathan Goodman: emcee: The MCMC Hammer (2012) arXiv
  4. Donald, Margaret R.; Strickland, Chris; Alston, Clair L.; Young, Rick; Mengersen, Kerrie L.: Comparison of three-dimensional profiles over time (2012)
  5. Hale, J. S.; Baiz, P. M.: A locking-free meshfree method for the simulation of shear-deformable plates based on a mixed variational formulation (2012)
  6. Klöckner, Andreas; Pinto, Nicolas; Lee, Yunsup; Catanzaro, Bryan; Ivanov, Paul; Fasih, Ahmed: PyCUDA and PyOpenCL: a scripting-based approach to GPU run-time code generation (2012) ioport
  7. Michler, Andreas K.; Heinrich, Ralf: Surrogate-enhanced simulation of aircraft in trimmed state (2012)
  8. Ruotsalainen, Lauri; Vuorinen, Matti: Numerical methods with Sage (2012)
  9. Walter, Sebastian F.; Lehmann, Lutz; Lamour, René: On evaluating higher-order derivatives of the QR decomposition of tall matrices with full column rank in forward and reverse mode algorithmic differentiation (2012)
  10. Yuffa, Alex J.; Scales, John A.: Object-oriented electrodynamic S-matrix code with modern applications (2012)
  11. J. R. Johansson, P. D. Nation, Franco Nori: QuTiP: An open-source Python framework for the dynamics of open quantum systems (2011) arXiv
  12. Pedregosa, Fabian; Varoquaux, Gaël; Gramfort, Alexandre; Michel, Vincent; Thirion, Bertrand; Grisel, Olivier; Blondel, Mathieu; Prettenhofer, Peter; Weiss, Ron; Dubourg, Vincent; Vanderplas, Jake; Passos, Alexandre; Cournapeau, David; Brucher, Matthieu; Perrot, Matthieu; Duchesnay, Édouard: Scikit-learn: machine learning in Python (2011)
  13. Van Der Walt, Stéfan; Colbert, S. Chris; Varoquaux, Gaël: The numpy array: a structure for efficient numerical computation (2011) ioport
  14. Anand Patil; David Huard; Christopher Fonnesbeck: PyMC: Bayesian Stochastic Modelling in Python (2010) not zbMATH
  15. Kiusalaas, Jaan: Numerical methods in engineering with Python. (2010)
  16. Koutsawa, Yao; Belouettar, Salim; Makradi, Ahmed; Nasser, Houssein: Sensitivities of effective properties computed using micromechanics differential schemes and high-order Taylor series: application to piezo-polymer composites (2010)
  17. Rasch, Arno; Bücker, H. Martin: EFCOSS: an interactive environment facilitating optimal experimental design (2010)
  18. Bakker, Mark: Sinusoidal pumping of groundwater near cylindrical inhomogeneities (2009)
  19. Drummond, L. Anthony; Galiano, Vicente; Migallón, Violeta; Penadés, Jose: Interfaces for parallel numerical linear algebra libraries in high level languages (2009)
  20. Drummond, L. Anthony; Galiano, Vicente; Migallón, Violeta; Penadés, Jose: PyACTS: A Python based interface to ACTS tools and parallel scientific applications (2009)

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