VPLAN

VPLAN is a software for modeling, simulation, parameter estimation and optimum experimental design for processes described by differential equation systems.

Keywords for this software

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References in zbMATH (referenced in 44 articles )

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  1. Gally, Tristan; Groche, Peter; Hoppe, Florian; Kuttich, Anja; Matei, Alexander; Pfetsch, Marc E.; Rakowitsch, Martin; Ulbrich, Stefan: Identification of model uncertainty via optimal design of experiments applied to a mechanical press (2022)
  2. Alexanderian, Alen: Optimal experimental design for infinite-dimensional Bayesian inverse problems governed by PDEs: a review (2021)
  3. Butler, T.; Jakeman, J. D.; Wildey, T.: Optimal experimental design for prediction based on push-forward probability measures (2020)
  4. Javeed, Aurya; Hooker, Giles: Timing observations of diffusions (2020)
  5. Sunseri, Isaac; Hart, Joseph; van Bloemen Waanders, Bart; Alexanderian, Alen: Hyper-differential sensitivity analysis for inverse problems constrained by partial differential equations (2020)
  6. Ernst, Oliver (ed.); Nobile, Fabio (ed.); Schillings, Claudia (ed.); Sullivan, Tim (ed.): Uncertainty quantification. Abstracts from the workshop held March 10--15, 2019 (2019)
  7. Neitzel, Ira; Pieper, Konstantin; Vexler, Boris; Walter, Daniel: A sparse control approach to optimal sensor placement in PDE-constrained parameter estimation problems (2019)
  8. Alexanderian, Alen; Saibaba, Arvind K.: Efficient D-optimal design of experiments for infinite-dimensional Bayesian linear inverse problems (2018)
  9. Attia, Ahmed; Alexanderian, Alen; Saibaba, Arvind K.: Goal-oriented optimal design of experiments for large-scale Bayesian linear inverse problems (2018)
  10. Alexanderian, Alen; Petra, Noemi; Stadler, Georg; Ghattas, Omar: A fast and scalable method for A-optimal design of experiments for infinite-dimensional Bayesian nonlinear inverse problems (2016)
  11. Giles Hooker and James Ramsay and Luo Xiao: CollocInfer: Collocation Inference in Differential Equation Models (2016) not zbMATH
  12. Janka, Dennis; Kirches, Christian; Sager, Sebastian; Wächter, Andreas: An SR1/BFGS SQP algorithm for nonconvex nonlinear programs with block-diagonal Hessian matrix (2016)
  13. Daoutidis, Prodromos: DAEs in model reduction of chemical processes: an overview (2015)
  14. Elsheikh, Atiyah: An equation-based algorithmic differentiation technique for differential algebraic equations (2015)
  15. Gerdts, Matthias: A survey on optimal control problems with differential-algebraic equations (2015)
  16. Hannemann-Tamás, Ralf; Muñoz, Diego A.; Marquardt, Wolfgang: Adjoint sensitivity analysis for nonsmooth differential-algebraic equation systems (2015)
  17. Hooker, Giles; Lin, Kevin K.; Rogers, Bruce: Control theory and experimental design in diffusion processes (2015)
  18. Janka, Dennis; Körkel, Stefan; Bock, Hans Georg: Direct multiple shooting for nonlinear optimum experimental design (2015)
  19. Kircheis, Robert: Structure exploiting parameter estimation and optimum experimental design methods and applications in microbial enhanced oil recovery (2015)
  20. Mommer, Mario S.; Sommer, Andreas; Schlöder, Johannes P.; Bock, H. Georg: A nonlinear preconditioner for optimum experimental design problems (2015)

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