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Sensitivity analysis for optimal and feedback controls applied to growth models

 

作者: Elmo A. Keller,   Jati K. Sengupta,  

 

期刊: Stochastics  （Taylor Available online 1974）
卷期: Volume 1, issue 1-4  

页码: 239-266

 

ISSN:0090-9491

 

年代: 1974

 

DOI:10.1080/17442507408833108

 

出版商: Gordon and Breach Science Publishers, Ltd

 

数据来源: Taylor

 

摘要:

Implications of alternative numerical methods for computing optimal trajectories in aggregative economic growth models are analyzed with respect to (a) their sensitivity, (b) the convergence to the turnpike, and (c) the closeness to feedback controls econo-metrically estimated.

 

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