Expected Residual Minimization Formulation for Stochastic Absolute Value Equations
Author:
Funder
Innovative Research Group Project of the National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10957-024-02527-x.pdf
Reference34 articles.
1. Anderson, D.F., Higham, D.J., Sun, Y.: Computational complexity analysis for Monte Carlo approximations of classically scaled population processes. Multiscale Model. Sim. 16(3), 1206–1226 (2018)
2. Ali, R., Pan, K.: The new iteration methods for solving absolute value equations. Appl. Math. 68(1), 109–122 (2023)
3. Cottle, R.W., Pang, J.-S., Stone, R.E.: The Linear Complementarity Problem. Academic Press, New York (1992)
4. Chen, X., Fukushima, M.: Expected residual minimization method for stochastic linear complementarity problems. Math. Oper. Res. 30, 1022–1038 (2005)
5. Chen, X., Wets, R.J.-B., Zhang, Y.: Stochastic variational inequalities: residual minimization smoothing sample average approximations. SIAM J. Optim. 22, 649–673 (2012)
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