computing platform, which can be deployed on many networks. We implement value function iteration for large dynamic programming …

Value function iteration is one of the standard tools for the solution of the Ramsey model. We compare six different … ways of value function iteration with regard to speed and precision. We find that value function iteration with cubic …

Value function iteration is one of the standard tools for the solution of the Ramsey model. We compare six different … ways of value function iteration with regard to speed and precision. We find that value function iteration with cubic …

condition methods that reduce the cost and increase accuracy of value function iteration. Third, we show precomputation …

function and use value function iteration to compute the value function for the optimal policy. Polynomial approximations are … value function iteration with polynomial approximations is unstable because standard methods such as interpolation and least … squares fitting do not preserve shape. We introduce shape-preserving approximation methods that stabilize value function …

This paper studies a value function iteration algorithm based on nonexpansive function approximation and Monte Carlo …

function and use value function iteration to compute the value function for the optimal policy. Polynomial approximations are … value function iteration with polynomial approximations is unstable because standard methods such as interpolation and least … squares fitting do not preserve shape. We introduce shape-preserving approximation methods that stabilize value function …