The focus of the talk will be on analysis of protein structures using geometric, machine learning and graph theoretic techniques and its implications in functional site predictions.
For a single transmit and receive antenna system, a new constellation design is proposed to combat errors in the phase estimate of the channel coefficient.
The course will cover Zero sum and Nonzero sum games, Extensive Form and Normal Form games, Nash equilibrium, Correlated equailibrium, Refinements, Bayesian games, Repeated Games, Differential Games.
The course will cover Zero sum and Nonzero sum games, Extensive Form and Normal Form games, Nash equilibrium, Correlated equailibrium, Refinements, Bayesian games, Repeated Games, Differential Games.
The course will cover Zero sum and Nonzero sum games, Extensive Form and Normal Form games, Nash equilibrium, Correlated equailibrium, Refinements, Bayesian games, Repeated Games, Differential Games.
My talk will introduce the problem of computing all Nash equilibria of finite normal form games. I will define a subclass of finite normal form games and present:
Most algorithmic problems could be viewed as questions being asked about a natural binary relation and we can classify them into decision, search, uniform generation and counting.
