References in zbMATH (referenced in 50 articles )

Showing results 1 to 20 of 50.
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  1. Al-Hinai, Omar; Wheeler, Mary F.; Yotov, Ivan: A generalized mimetic finite difference method and two-point flux schemes over Voronoi diagrams (2017)
  2. Andrew C. Heusser, Kirsten Ziman, Lucy L. W. Owen, Jeremy R. Manning: HyperTools: A Python toolbox for visualizing and manipulating high-dimensional data (2017) arXiv
  3. Bezanson, Jeff; Edelman, Alan; Karpinski, Stefan; Shah, Viral B.: Julia: a fresh approach to numerical computing (2017)
  4. Carmen Moret-Tatay, Daniel Gamermann, Esperanza Navarro-Pardo, Pedro Fernandez de Cordoba: ExGUtils: A python package for statistical analysis with the ex-gaussian probability density (2017) arXiv
  5. Douglas De Rizzo Meneghetti, Plinio Thomaz Aquino Junior: Computerized Adaptive Testing Simulation Through the Package catsim (2017) arXiv
  6. Myers, A.; Colella, P.; Straalen, B.van: A 4th-order particle-in-cell method with phase-space remapping for the Vlasov-Poisson equation (2017)
  7. Qiming Sun, Timothy C. Berkelbach, Nick S. Blunt, George H. Booth, Sheng Guo, Zhendong Li, Junzi Liu, James McClain, Sandeep Sharma, Sebastian Wouters, Garnet Kin-Lic Chan: The Python-based Simulations of Chemistry Framework (PySCF) (2017) arXiv
  8. Zulkoski, Edward; Bright, Curtis; Heinle, Albert; Kotsireas, Ilias; Czarnecki, Krzysztof; Ganesh, Vijay: Combining SAT solvers with computer algebra systems to verify combinatorial conjectures (2017)
  9. Bailes, Jeffrey Steven: Orbispaces, configurations and quasi-fibrations. (Abstract of thesis) (2016)
  10. Brake, Daniel A.; Hauenstein, Jonathan D.; Liddell, Alan C. jun.: Decomposing solution sets of polynomial systems using derivatives (2016)
  11. Breuer, Alex; Lumsdaine, Andrew: Matrix-free Krylov iteration for implicit convolution of numerically low-rank data (2016)
  12. David G.P. van IJzendoorn, Kimberly Glass, John Quackenbush, Marieke L. Kuijjer: PyPanda: a Python Package for Gene Regulatory Network Reconstruction (2016) arXiv
  13. Davis, Jon H.: Methods of applied mathematics with a software overview (2016)
  14. Doran, Gary; Ray, Soumya: Multiple-instance learning from distributions (2016)
  15. Garrido, José M.: Introduction to computational models with Python (2016)
  16. Janardan, Smitha; Tomita, Yu; Gutiérrez, Mauricio; Brown, Kenneth R.: Analytical error analysis of Clifford gates by the fault-path tracer method (2016)
  17. Kimbrough, Steven Orla; Lau, Hoong Chuin: Business analytics for decision making (2016)
  18. Kraus, Michael; Tassi, Emanuele; Grasso, Daniela: Variational integrators for reduced magnetohydrodynamics (2016)
  19. Meng, Xiangrui; Bradley, Joseph; Yavuz, Burak; Sparks, Evan; Venkataraman, Shivaram; Liu, Davies; Freeman, Jeremy; Tsai, Db; Amde, Manish; Owen, Sean; Xin, Doris; Xin, Reynold; Franklin, Michael J.; Zadeh, Reza; Zaharia, Matei; Talwalkar, Ameet: MLlib: machine learning in Apache Spark (2016)
  20. Pastorino, Roland; Cosco, Francesco; Naets, Frank; Desmet, Wim; Cuadrado, Javier: Hard real-time multibody simulations using ARM-based embedded systems (2016)

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