DASSL

Subroutine DDASSL uses the backward differentiation formulas of orders one through five to solve a system of the above form for Y and YPRIME. Values for Y and YPRIME at the initial time must be given as input. These values must be consistent, (that is, if T,Y,YPRIME are the given initial values, they must satisfy G(T,Y,YPRIME) = 0.). The subroutine solves the system from T to TOUT. It is easy to continue the solution to get results at additional TOUT. This is the interval mode of operation. Intermediate results can also be obtained easily by using the intermediate-output capability.


References in zbMATH (referenced in 263 articles )

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  1. Prud’homme, Christophe; Sala, Lorenzo; Szopos, Marcela: Uncertainty propagation and sensitivity analysis: results from the ocular mathematical virtual simulator (2021)
  2. Arévalo, Carmen; Jonsson-Glans, Erik; Olander, Josefine; Selva Soto, Monica; Söderlind, Gustaf: A software platform for adaptive high order multistep methods (2020)
  3. Bruni, Stefano; Meijaard, J. P.; Rill, Georg; Schwab, A. L.: State-of-the-art and challenges of railway and road vehicle dynamics with multibody dynamics approaches (2020)
  4. Rozhdestvensky, Kirill; Ryzhov, Vladimir; Fedorova, Tatiana; Safronov, Kirill; Tryaskin, Nikita; Sulaiman, Shaharin Anwar; Ovinis, Mark; Hassan, Suhaimi: Computer modeling and simulation of dynamic systems using Wolfram SystemModeler (2020)
  5. Tang, Xiao; Xiao, Aiguo: Improved Runge-Kutta-Chebyshev methods (2020)
  6. Zimmer, Dirk: Robust object-oriented formulation of directed thermofluid stream networks (2020)
  7. Chen, Minghan; Wang, Shuo; Cao, Yang: Accuracy analysis of hybrid stochastic simulation algorithm on linear chain reaction systems (2019)
  8. Green, Kevin R.; Spiteri, Raymond J.: Extended \textttBACOLI: solving one-dimensional multiscale parabolic PDE systems with error control (2019)
  9. Stechlinski, Peter; Patrascu, Michael; Barton, Paul I.: Nonsmooth DAEs with applications in modeling phase changes (2019)
  10. Kelley, C. T.: Numerical methods for nonlinear equations (2018)
  11. Shrirang Abhyankar, Jed Brown, Emil M. Constantinescu, Debojyoti Ghosh, Barry F. Smith, Hong Zhang: PETSc/TS: A Modern Scalable ODE/DAE Solver Library (2018) arXiv
  12. Zhang, Cheng; Huang, Jingfang; Wang, Cheng; Yue, Xingye: On the operator splitting and integral equation preconditioned deferred correction methods for the “good” Boussinesq equation (2018)
  13. Alharbi, Abdulghani; Naire, Shailesh: An adaptive moving mesh method for thin film flow equations with surface tension (2017)
  14. Burger, Michael; Gerdts, Matthias: A survey on numerical methods for the simulation of initial value problems with sDAEs (2017)
  15. Dubrovina, Elizaveta; Craster, Richard V.; Papageorgiou, Demetrios T.: Two-layer electrified pressure-driven flow in topographically structured channels (2017)
  16. Klöckner, Andreas; Knoblach, Andreas; Heckmann, Andreas: How to shape noise spectra for continuous system simulation (2017)
  17. McKenzie, Ross; Pryce, John: Structural analysis based dummy derivative selection for differential algebraic equations (2017)
  18. Simeon, Bernd: On the history of differential-algebraic equations. A retrospective with personal side trips (2017)
  19. Hupkes, H. J.; Van Vleck, E. S.: Travelling waves for complete discretizations of reaction diffusion systems (2016)
  20. Kleefeld, B.; Martín-Vaquero, J.: SERK2v3: Solving mildly stiff nonlinear partial differential equations (2016)

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