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Martin Smíd
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2020 – today
- 2023
- [j8]Milos Kopa, Martin Smíd:
Contractivity of Bellman operator in risk averse dynamic programming with infinite horizon. Oper. Res. Lett. 51(2): 133-136 (2023) - 2022
- [j7]Frantisek Zapletal, Martin Smíd, Václav Kozmík:
Multi-stage stochastic optimization of carbon risk management. Expert Syst. Appl. 201: 117021 (2022) - [c2]Gabriela Suchopárová, Petra Vidnerová, Roman Neruda, Martin Smíd:
Using a Deep Neural Network in a Relative Risk Model to Estimate Vaccination Protection for COVID-19. EANN 2022: 310-320 - 2021
- [c1]Petra Vidnerová, Roman Neruda, Gabriela Suchopárová, Ludek Berec, Tomás Diviák, Ales Kubena, René Levínský, Josef Slerka, Martin Smíd, Jan Trnka, Vít Tucek, Karel Vrbenský, Milan Zajícek:
Simulation of Non-pharmaceutical Interventions in an Agent based Epidemic Model. ITAT 2021: 263-268 - 2020
- [j6]Frantisek Zapletal, Martin Smíd, Milos Kopa:
Multi-stage emissions management of a steel company. Ann. Oper. Res. 292(2): 735-751 (2020)
2010 – 2019
- 2017
- [j5]Martin Smíd, Milos Kopa:
Dynamic model of market with uninformed market maker. Kybernetika 53(5): 922-958 (2017) - 2016
- [j4]Frantisek Zapletal, Martin Smíd:
Mean-risk optimal decision of a steel company under emission control. Central Eur. J. Oper. Res. 24(2): 435-454 (2016) - 2012
- [j3]Martin Smíd:
Probabilistic properties of the continuous double auction. Kybernetika 48(1): 50-82 (2012)
2000 – 2009
- 2009
- [j2]Martin Smíd:
The Expected loss in the discretization of multistage stochastic programming problems - estimation and convergence rate. Ann. Oper. Res. 165(1): 29-45 (2009) - 2004
- [j1]Vlasta Kanková, Martin Smíd:
On approximation in multistage stochastic programs: Markov dependence. Kybernetika 40(5): 625-638 (2004)
Coauthor Index
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