Parallel and distributed computation: numerical methods
Parallel and distributed computation: numerical methods
Numerical techniques for stochastic optimization
Numerical techniques for stochastic optimization
Entropic proximal mappings with applications to nonlinear programming
Mathematics of Operations Research
Equilibrium programming using proximal-like algorithms
Mathematical Programming: Series A and B
Cybernetics and Systems Analysis
Decomposition algorithms for generalized potential games
Computational Optimization and Applications
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So-called potential functions are important, prominent, and common to many diverse fields, including optimization, dynamic processes, and physics. Monderer and Shapley have added a class of noncooperative games to that list. In the present paper, their notion is extended and repeated play of such games is considered. A unified convergence analysis is provided and procedures that account for efficiency or viability are shown.