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Mathematical models in educational planning
Stone, Richard (contributor) - 1967
Persistent link: https://www.econbiz.de/10000595920
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Application of projection method in a model of endogenous growth
Kejak, Michael - 1995
The main goal of the paper is to show the application of the projection method as a tool for the analysis of transitional dynamics of endogenous growth models, the analysis which is very often omitted in common literature on the topic. The application of the method is demonstrated on an...
Persistent link: https://www.econbiz.de/10009693156
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Mathematical models of education planning
Versluis, Jan (contributor); Zandee, Dirk W. (contributor) - 1966
Persistent link: https://www.econbiz.de/10003198485
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Application of projection method in a model of endogenous growth
Kejak, Michal - 1995
Persistent link: https://www.econbiz.de/10000915319
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College admissions with ties and common quotas : integer programming approach
Ágoston, Kolos Csaba; Biró, Péter; Kováts, Endre; … - In: European journal of operational research : EJOR 299 (2022) 2, pp. 722-734
Persistent link: https://www.econbiz.de/10013207164
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Academic course scheduling under workload and changeover constraints
Drexl, Andreas; Juretzka, Jan; Salewski, Frank - 1993
several restrictions (availability of professors and students; workloads per day; changeover times; etc.) are observed. The …
Persistent link: https://www.econbiz.de/10011739457
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Academic course scheduling under workload and changeover constraints
Drexl, Andreas; Juretzka, Jan; Salewski, Frank - 1993
Persistent link: https://www.econbiz.de/10011735536
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Allocation of funds in bilevel subsidy welfare programs
Wei, Wei; Arora, Priyank; Solak, Senay - In: Manufacturing & service operations management : M & SOM 26 (2024) 4, pp. 1435-1453
Persistent link: https://www.econbiz.de/10014634402
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Optimal trauma care network redesign with government subsidy : a bilevel integer programming approach
Liu, Shaonan; Kong, Nan; Parikh, Pratik; Wang, Mingzheng - In: Omega : the international journal of management science 119 (2023), pp. 1-16
Persistent link: https://www.econbiz.de/10014444537