PyDSTool is a sophisticated & integrated simulation and analysis environment for dynamical systems models of physical systems (ODEs, DAEs, maps, and hybrid systems). PyDSTool is platform independent, written primarily in Python with some underlying C and Fortran legacy code for fast solving. It makes extensive use of the numpy and scipy libraries. PyDSTool supports symbolic math, optimization, phase plane analysis, continuation and bifurcation analysis, data analysis, and other tools for modeling -- particularly for biological applications. The project is fully open source with a BSD license, and welcomes contributions from the community. Please visit the support pages at to post questions and feedback.

References in zbMATH (referenced in 17 articles )

Showing results 1 to 17 of 17.
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  1. Camacho, Ariel; Jerez, Silvia: Nonlinear modeling and control strategies for bone diseases based on TGF(\beta) and Wnt factors (2021)
  2. Lindner, Michael; Lincoln, Lucas; Drauschke, Fenja; Koulen, Julia M.; Würfel, Hans; Plietzsch, Anton; Hellmann, Frank: NetworkDynamics.jl -- composing and simulating complex networks in Julia (2021)
  3. van den Berg, Jan Bouwe; Queirolo, Elena: A general framework for validated continuation of periodic orbits in systems of polynomial ODEs (2021)
  4. Ansmann, Gerrit: Efficiently and easily integrating differential equations with JiTCODE, JiTCDDE, and JiTCSDE (2018)
  5. Heitmann S, Aburn M, Breakspear M: The Brain Dynamics Toolbox for Matlab (2018) not zbMATH
  6. Beaume, Cédric: Adaptive Stokes preconditioning for steady incompressible flows (2017)
  7. Breda, D.; Diekmann, O.; Gyllenberg, M.; Scarabel, F.; Vermiglio, R.: Pseudospectral discretization of nonlinear delay equations: new prospects for numerical bifurcation analysis (2016)
  8. Mellor, Nathan; Bennett, Malcolm J.; King, John R.: GH3-mediated auxin conjugation can result in either transient or oscillatory transcriptional auxin responses (2016)
  9. Hong, Tian; Oguz, Cihan; Tyson, John J.: A mathematical framework for understanding four-dimensional heterogeneous differentiation of (\mathrmCD4^+) T cells (2015)
  10. Kuehn, Christian: Efficient gluing of numerical continuation and a multiple solution method for elliptic PDEs (2015)
  11. Mellor, Nathan; Péret, Benjamin; Porco, Silvana; Sairanen, Ilkka; Ljung, Karin; Bennett, Malcolm; King, John: Modelling of \textitArabidopsisLAX3 expression suggests auxin homeostasis (2015)
  12. Maybank, Philip J.; Whiteley, Jonathan P.: Automatic simplification of systems of reaction-diffusion equations by \textitaposteriori analysis (2014)
  13. Şengül, Sevgi; Clewley, Robert; Bertram, Richard; Tabak, Joël: Determining the contributions of divisive and subtractive feedback in the Hodgkin-Huxley model (2014)
  14. Chan, Cliburn; Billard, Matthew; Ramirez, Samuel A.; Schmidl, Harald; Monson, Eric; Kepler, Thomas B.: A model for migratory B cell oscillations from receptor down-regulation induced by external chemokine fields (2013)
  15. Draelants, Delphine; Broeckhove, Jan; Beemster, Gerrit T. S.; Vanroose, Wim: Numerical bifurcation analysis of the pattern formation in a cell based auxin transport model (2013)
  16. Budišić, Marko; Mezić, Igor: Geometry of the ergodic quotient reveals coherent structures in flows (2012)
  17. Kuehn, Christian: Deterministic continuation of stochastic metastable equilibria via Lyapunov equations and ellipsoids (2012)