Using white-box nonlinear optimization methods in system dynamics policy improvement-Reference-Cited by-同舟云学术

Using white-box nonlinear optimization methods in system dynamics policy improvement

Published:2017-04 Issue:2 Volume:33 Page:138-168
ISSN:0883-7066
Container-title:System Dynamics Review
language:en
Short-container-title:Syst. Dyn. Rev.

Author:

Vierhaus Ingmar¹,Fügenschuh Armin¹,Gottwald Robert²,Grösser Stefan³

Affiliation:

1. Helmut Schmidt University/University of the Federal Armed Forces Hamburg; Holstenhofweg 85, 22043 Hamburg Germany

2. Zuse Institute Berlin; Takustra_e 7, 14195 Berlin Germany

3. Bern University of Applied Science, School of Engineering, https://maps.google.com/?q=Quellgasse+10&entry=gmail&source=g; Quellgasse 10, 2105 Biel Switzerland

Funder

Deutsche Forschungsgesellschaft, CRC 1026

Publisher

Wiley

Subject

Management of Technology and Innovation,Strategy and Management,Social Sciences (miscellaneous)

Reference53 articles.

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2. Interior-point methods for nonconvex nonlinear programming: jamming and numerical testing;Benson;Mathematical Programming,2004

3. Practical Methods for Optimal Control and Estimation Using Nonlinear Programming

4. Board of Governors of the Federal Reserve System 2015 https://www.federalreserve.gov/monetarypolicy/openmarket_archive.htm

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