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Daniel Granot
Researcher at University of British Columbia
Publications - 76
Citations - 2374
Daniel Granot is an academic researcher from University of British Columbia. The author has contributed to research in topics: Game theory & Bondareva–Shapley theorem. The author has an hindex of 24, co-authored 75 publications receiving 2214 citations. Previous affiliations of Daniel Granot include Simon Fraser University.
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Minimum cost spanning tree games
Daniel Granot,Gur Huberman +1 more
TL;DR: It is shown that the core and the nucleolus of the original game are the cartesian products of the cores and theucleoli, respectively, of the induced games on the components of the efficient coalition structure.
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A Three-Stage Model for a Decentralized Distribution System of Retailers
Daniel Granot,Greys Sosic +1 more
TL;DR: It is shown that allocation rules in the third stage based on dual solutions, which were used in the ABZ model, may induce the retailers to hold back some of their residual supply/demand.
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On the core and nucleolus of minimum cost spanning tree games
Daniel Granot,Gur Huberman +1 more
TL;DR: An efficient procedure for generating fair cost allocations which, in some instances, coincide with the nucleolus is developed and it is shown that by employing Sterns' transfer scheme the authors can generate a sequence of cost vectors which converges to theucleolus.
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Competition and Cooperation in Decentralized Push and Pull Assembly Systems
Daniel Granot,Shuya Yin +1 more
TL;DR: It is shown that in a push system, the assembler's profit, the total profit of all suppliers and the consumers' surplus are all decreasing in the number of coalitions, and are thus maximized when the grand coalition is formed, and in a pull system the suppliers can easily coordinate their production quantities to eliminate the inefficiency due to their decentralization.
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A generalized linear production model: A unifying model
TL;DR: It appears that the generalized linear production model is a unifying model which can be used to explain the non-emptiness of the core of cooperative games generated by various, seemingly different, optimization models.