References in zbMATH (referenced in 17 articles )

Showing results 1 to 17 of 17.
Sorted by year (citations)

  1. Arnald Puy, Samuele Lo Piano, Andrea Saltelli, Simon A. Levin: sensobol: an R package to compute variance-based sensitivity indices (2021) arXiv
  2. Biala, T. A.; Khaliq, A. Q. M.: A fractional-order compartmental model for the spread of the COVID-19 pandemic (2021)
  3. Brandstaeter, Sebastian; Fuchs, Sebastian L.; Biehler, Jonas; Aydin, Roland C.; Wall, Wolfgang A.; Cyron, Christian J.: Global sensitivity analysis of a homogenized constrained mixture model of arterial growth and remodeling (2021)
  4. Chathika Gunaratne, Ivan Garibay: NL4Py: Agent-based modeling in Python with parallelizable NetLogo workspaces (2021) not zbMATH
  5. Difrancesco, Rita Maria; van Schilt, Isabelle M.; Winkenbach, Matthias: Optimal in-store fulfillment policies for online orders in an omni-channel retail environment (2021)
  6. Frank, Anna S.; Larripa, Kamila; Ryu, Hwayeon; Snodgrass, Ryan G.; Röblitz, Susanna: Bifurcation and sensitivity analysis reveal key drivers of multistability in a model of macrophage polarization (2021)
  7. Grigoriev, Vasiliy V.; Iliev, Oleg; Vabishchevich, Petr N.: Computational identification of adsorption and desorption parameters for pore scale transport in random porous media (2020)
  8. Grigoriev, Vasiliy V.; Iliev, Oleg; Vabishchevich, Petr N.: Computational identification of adsorption and desorption parameters for pore scale transport in periodic porous media (2020)
  9. Hadjimichael, A., Gold, D., Hadka, D., Reed, P.: Rhodium: Python Library for Many-Objective Robust Decision Making and Exploratory Modeling (2020) not zbMATH
  10. Lee, Taeksang; Bilionis, Ilias; Buganza Tepole, Adrian: Propagation of uncertainty in the mechanical and biological response of growing tissues using multi-fidelity Gaussian process regression (2020)
  11. Lejeune, Emma; Linder, Christian: Interpreting stochastic agent-based models of cell death (2020)
  12. Qian, George; Mahdi, Adam: Sensitivity analysis methods in the biomedical sciences (2020)
  13. Rezaei, A.; Nakshatrala, K. B.; Siddiqui, F.; Dindoruk, B.; Soliman, M.: A global sensitivity analysis and reduced-order models for hydraulically fractured horizontal wells (2020)
  14. Robin A. Richardson, David W. Wright, Wouter Edeling, Vytautas Jancauskas, Jalal Lakhlili, Peter V. Coveney: EasyVVUQ: A Library for Verification, Validation and Uncertainty Quantification in High Performance Computing (2020) not zbMATH
  15. Lund, Alana; Dyke, Shirley J.; Song, Wei; Bilionis, Ilias: Global sensitivity analysis for the design of nonlinear identification experiments (2019)
  16. Ballester-Ripoll, Rafael; Paredes, Enrique G.; Pajarola, Renato: Tensor algorithms for advanced sensitivity metrics (2018)
  17. Mai, Vinh Q.; Vo, Tuoi T.; Meere, Martin: Modelling hyaluronan degradation by Streptococcus pneumoniae hyaluronate lyase (2018)