Quick and Easy Optimal Approach Paths for Nonlinear Natural Resource Models
提出一种基于逆向归纳的非线性自然资源模型最优时间路径解析方法，并用加州北鳀鱼渔业模型验证其精度优于线性二次动态规划等方法。
Abstract An analytical optimal time‐path solution method for nonlinear natural resource models based on backward induction is discussed. A method for estimating a time‐independent current period decision rule from the discrete‐point time‐path solution set generated with backward induction is then reviewed. A model of the northern anchovy fishery of California is used to compare the performance of this approach against previously reported results based on linear quadratic analytical dynamic programming and approximately optimal analytical current period decision rule solution methods. The approach provides an analytical shortcut alternative to numerical dynamic programming, without sacrificing precision.