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  1. Mathematical Methods of Operations Research
  2. Mathematical Methods of Operations Research : Volume 71
  3. Mathematical Methods of Operations Research : Volume 71, Issue 1, February 2010
  4. The cutting power of preparation
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Mathematical Methods of Operations Research : Volume 85
Mathematical Methods of Operations Research : Volume 84
Mathematical Methods of Operations Research : Volume 83
Mathematical Methods of Operations Research : Volume 82
Mathematical Methods of Operations Research : Volume 81
Mathematical Methods of Operations Research : Volume 80
Mathematical Methods of Operations Research : Volume 79
Mathematical Methods of Operations Research : Volume 78
Mathematical Methods of Operations Research : Volume 77
Mathematical Methods of Operations Research : Volume 76
Mathematical Methods of Operations Research : Volume 75
Mathematical Methods of Operations Research : Volume 74
Mathematical Methods of Operations Research : Volume 73
Mathematical Methods of Operations Research : Volume 72
Mathematical Methods of Operations Research : Volume 71
Mathematical Methods of Operations Research : Volume 71, Issue 3, June 2010
Mathematical Methods of Operations Research : Volume 71, Issue 2, April 2010
Mathematical Methods of Operations Research : Volume 71, Issue 1, February 2010
A two stage stochastic equilibrium model for electricity markets with two way contracts
Optimality equations and inequalities in a class of risk-sensitive average cost Markov decision chains
The cutting power of preparation
An infeasible nonmonotone SSLE algorithm for nonlinear programming
An extended covering model for flexible discrete and equity location problems
Global optimization of a rank-two nonconvex program
Optimal investment with deferred capital gains taxes : A simple martingale method approach
Mathematical Methods of Operations Research : Volume 70
Mathematical Methods of Operations Research : Volume 69
Mathematical Methods of Operations Research : Volume 68
Mathematical Methods of Operations Research : Volume 67
Mathematical Methods of Operations Research : Volume 66
Mathematical Methods of Operations Research : Volume 65
Mathematical Methods of Operations Research : Volume 64
Mathematical Methods of Operations Research : Volume 63
Mathematical Methods of Operations Research : Volume 62
Mathematical Methods of Operations Research : Volume 61
Mathematical Methods of Operations Research : Volume 60
Mathematical Methods of Operations Research : Volume 59
Mathematical Methods of Operations Research : Volume 58
Mathematical Methods of Operations Research : Volume 57
Mathematical Methods of Operations Research : Volume 56
Mathematical Methods of Operations Research : Volume 55
Mathematical Methods of Operations Research : Volume 54
Mathematical Methods of Operations Research : Volume 53
Mathematical Methods of Operations Research : Volume 52
Mathematical Methods of Operations Research : Volume 51
Mathematical Methods of Operations Research : Volume 50
Mathematical Methods of Operations Research : Volume 49
Mathematical Methods of Operations Research : Volume 48
Mathematical Methods of Operations Research : Volume 47
Mathematical Methods of Operations Research : Volume 46
Mathematical Methods of Operations Research : Volume 45

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The cutting power of preparation

Content Provider Springer Nature Link
Author Tercieux, Olivier Voorneveld, Mark
Copyright Year 2009
Abstract In a strategic game, a curb set (Basu and Weibull, Econ Lett 36:141–146, 1991) is a product set of pure strategies containing all best responses to every possible belief restricted to this set. Prep sets (Voorneveld, Games Econ Behav 48:403–414, 2004) relax this condition by only requiring the presence of at least one best response to such a belief. The purpose of this paper is to provide sufficient conditions under which minimal prep sets give sharp predictions. These conditions are satisfied in many economically relevant classes of games, including supermodular games, potential games, and congestion games with player-specific payoffs. In these classes, minimal curb sets generically have a large cutting power as well, although it is shown that there are relevant subclasses of coordination games and congestion games where minimal curb sets have no cutting power at all and simply consist of the entire strategy space.
Starting Page 85
Ending Page 101
Page Count 17
File Format PDF
ISSN 14322994
Journal Mathematical Methods of Operations Research
Volume Number 71
Issue Number 1
e-ISSN 14325217
Language English
Publisher Springer-Verlag
Publisher Date 2009-02-18
Publisher Place Berlin, Heidelberg
Access Restriction One Nation One Subscription (ONOS)
Subject Keyword Curb sets Prep sets Supermodular games Potential games Congestion games Calculus of Variations and Optimal Control; Optimization Business/Management Science Operations Research/Decision Theory
Content Type Text
Resource Type Article
Subject Management Science and Operations Research Mathematics Software
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