A method of finding a stochastic saddle point
DOI10.1016/0041-5553(89)90037-2zbMATH Open0702.90063OpenAlexW2082990920MaRDI QIDQ3481492
Publication date: 1989
Published in: USSR Computational Mathematics and Mathematical Physics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/0041-5553(89)90037-2
regularizationprobability constraintsConvergence theoremsnumerical searchstochastic saddle pointconvex-concave objective functionintegral penalty functions methodstochastic quasi-gradients
Numerical mathematical programming methods (65K05) Stochastic programming (90C15) Existence of solutions for minimax problems (49J35) Computational methods for problems pertaining to operations research and mathematical programming (90-08)
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