A NONLINEAR PROGRAMMING METHOD FOR DYNAMIC PROGRAMMING

MACROECONOMIC DYNAMICS(2017)

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摘要
A nonlinear programming formulation is introduced to solve infinite-horizon dynamic programming problems. This extends the linear approach to dynamic programming by using ideas from approximation theory to approximate value functions. Our numerical results show that this nonlinear programming is efficient and accurate, and avoids inefficient discretization.
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关键词
Dynamic Programming,Optimal Control,Nonlinear Programming,Infinite-Horizon Decision Making Problem
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