Computing the Bargaining Approach for Equalizing the Ratios of Maximal Gains in Continuous-Time Markov Chains Games-Reference-Cited by-同舟云学术

Computing the Bargaining Approach for Equalizing the Ratios of Maximal Gains in Continuous-Time Markov Chains Games

Published:2018-09-27 Issue:3 Volume:54 Page:933-955
ISSN:0927-7099
Container-title:Computational Economics
language:en
Short-container-title:Comput Econ

Author:

Trejo Kristal K.,Clempner Julio B.,Poznyak Alexander S.

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Economics, Econometrics and Finance (miscellaneous)

Link

http://link.springer.com/content/pdf/10.1007/s10614-018-9859-9.pdf

Reference26 articles.

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2. Anant, T. C. A., Mukherji, B., & Basu, K. (1990). Bargaining without convexity: Generalizing the Kalai–Smorodinsky solution. Economics Letters, 33(2), 115–119.

3. Antipin, A. S. (1997a). Equilibrium programming: Gradient-type methods. Avtomatika i Telemekhanika, 8, 166–178.

4. Antipin, A. S. (1997b). Equilibrium programming: Proximal methods. Computational Mathematics and Mathematical Physics, 37(11), 1285–1296.

5. Antipin, A. S. (2005). An extraproximal method for solving equilibrium programming problems and games. Computational Mathematics and Mathematical Physics, 45(11), 1893–1914.

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