dr.ir. W.R.W. Scheinhardt (Werner)

Universitair docent
EEMCS-AM-MOR
Zilverling 4011
w.r.w.scheinhardt@utwente.nl
+31534893832
Visitekaartje

Expertises

  • Computer Science

    • Models
    • Event Simulation
    • Markov Chain
    • Model Checking
    • Simulation

  • Mathematics

    • Probability Theory
    • Importance Sampling
    • Measures

Organisaties

Publicaties

2023
Diffusion parameters of flows in stable multi-class queueing networks, 313-346. Moka, S. B., Nazarathy, Y. & Scheinhardt, W.https://doi.org/10.1007/s11134-022-09869-1
2022
Birth–death fluid queues and orthogonal polynomials, 245-247. Scheinhardt, W. R. W.https://doi.org/10.1007/s11134-022-09804-4A Stochastic Fluid Model Approach to the Stationary Distribution of the Maximal Priority ProcessIn Proceedings of MAM 11: The 11th International Conference on Matrix-Analytic Methods in Stochastic Models. ACM Publishing. Boelema, H. M., Dams, D. J. J., O'Reilly, M. M., Scheinhardt, W. R. W. & Taylor, P. G.https://doi.org/10.1145/1235
2021
Importance sampling for Markovian tandem queues using subsolutions: exploring the possibilities, 849-866. Buijsrogge, A., de Boer, P. T. & Scheinhardt, W. R. W.https://doi.org/10.1177/00375497211041351Path-ZVA Simulation Method for Time-Bounded Rare Events in a Semi-Markov Chain. Reijsbergen, D., de Boer, P.-T. & Scheinhardt, W. R. W.Splitting for a non-Markovian tandem queue. Buijsrogge, A., de Boer, P.-T. & Scheinhardt, W. R. W.https://resim2021.sciencesconf.org/file/725522
2020
On state-independent importance sampling for the GI|GI|1 tandem queue, 131-156. Buijsrogge, A., de Boer, P.-T. & Scheinhardt, W. R. W.https://doi.org/10.1017/S0269964818000426
2019
Importance sampling for non-Markovian tandem queues using subsolutions, 31-65. Buijsrogge, A., de Boer, P.-T. & Scheinhardt, W. R. W.https://doi.org/10.1007/s11134-019-09623-0

Onderzoeksprofielen

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