Continuous Time Learning Algorithms in Optimization and Game Theory-Reference-Cited by-同舟云学术

Continuous Time Learning Algorithms in Optimization and Game Theory

Published:2022-01-31 Issue: Volume: Page:
ISSN:2153-0785
Container-title:Dynamic Games and Applications
language:en
Short-container-title:Dyn Games Appl

Author:

Sorin Sylvain^ORCID

Funder

European Cooperation in Science and Technology

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computational Mathematics,Computational Theory and Mathematics,Computer Graphics and Computer-Aided Design,Computer Science Applications,Statistics and Probability,Economics and Econometrics

Link

https://link.springer.com/content/pdf/10.1007/s13235-021-00423-x.pdf

Reference68 articles.

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3. Antipin AS (1994) Minimization of convex functions on convex sets by means of differential equations. Differ Equ 30:1365–1375

4. Attouch H, Teboulle M (2004) Regularized Lotka-Volterra dynamical system as continuous proximal-like method in optimization. J Optim Theory Appl 121:541–570

5. Avrachenkov K, Borkar VS (2019) Metastability in stochastic replicator dynamics. Dyn Games Appl 9:366–390

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