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
References in zbMATH (referenced in 44 articles )
Showing results 1 to 20 of 44.
Sorted by year (- 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)
- Alexanderian, Alen: Optimal experimental design for infinite-dimensional Bayesian inverse problems governed by PDEs: a review (2021)
- Butler, T.; Jakeman, J. D.; Wildey, T.: Optimal experimental design for prediction based on push-forward probability measures (2020)
- Javeed, Aurya; Hooker, Giles: Timing observations of diffusions (2020)
- Sunseri, Isaac; Hart, Joseph; van Bloemen Waanders, Bart; Alexanderian, Alen: Hyper-differential sensitivity analysis for inverse problems constrained by partial differential equations (2020)
- Ernst, Oliver (ed.); Nobile, Fabio (ed.); Schillings, Claudia (ed.); Sullivan, Tim (ed.): Uncertainty quantification. Abstracts from the workshop held March 10--15, 2019 (2019)
- Neitzel, Ira; Pieper, Konstantin; Vexler, Boris; Walter, Daniel: A sparse control approach to optimal sensor placement in PDE-constrained parameter estimation problems (2019)
- Alexanderian, Alen; Saibaba, Arvind K.: Efficient D-optimal design of experiments for infinite-dimensional Bayesian linear inverse problems (2018)
- Attia, Ahmed; Alexanderian, Alen; Saibaba, Arvind K.: Goal-oriented optimal design of experiments for large-scale Bayesian linear inverse problems (2018)
- 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)
- Giles Hooker and James Ramsay and Luo Xiao: CollocInfer: Collocation Inference in Differential Equation Models (2016) not zbMATH
- Janka, Dennis; Kirches, Christian; Sager, Sebastian; Wächter, Andreas: An SR1/BFGS SQP algorithm for nonconvex nonlinear programs with block-diagonal Hessian matrix (2016)
- Daoutidis, Prodromos: DAEs in model reduction of chemical processes: an overview (2015)
- Elsheikh, Atiyah: An equation-based algorithmic differentiation technique for differential algebraic equations (2015)
- Gerdts, Matthias: A survey on optimal control problems with differential-algebraic equations (2015)
- Hannemann-Tamás, Ralf; Muñoz, Diego A.; Marquardt, Wolfgang: Adjoint sensitivity analysis for nonsmooth differential-algebraic equation systems (2015)
- Hooker, Giles; Lin, Kevin K.; Rogers, Bruce: Control theory and experimental design in diffusion processes (2015)
- Janka, Dennis; Körkel, Stefan; Bock, Hans Georg: Direct multiple shooting for nonlinear optimum experimental design (2015)
- Kircheis, Robert: Structure exploiting parameter estimation and optimum experimental design methods and applications in microbial enhanced oil recovery (2015)
- Mommer, Mario S.; Sommer, Andreas; Schlöder, Johannes P.; Bock, H. Georg: A nonlinear preconditioner for optimum experimental design problems (2015)