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3.V.S. Borkar (1997). Stochastic approximation with two time scales. Systems and Control Letters 29: 291–294.
4.E.K.P. Chong & R.J. Ramadge (1994). Stochastic optimization of regenerative systems using infinitesimal perturbation analysis. IEEE Transactions on Automatic Control 39(7): 1400–1410.
5.E.K.P. Chong & P.J. Ramadge (1993). Optimization of queues using an infinitesimal perturbation analysis-based stochastic algorithm with general update times. SIAM Journal on Control and Optimization 31(3): 698–732.
6.M.W. Hirsch (1987). Convergent activation dynamics in continuous time networks. Neural Networks 2: 331–349.
7.H.J. Kushner & D.S. Clark (1978). Stochastic approximation methods for constrained and unconstrained systems. New York: Springer Verlag.
8.P. L'Ecuyer & P.W. Glynn (1994). Stochastic optimization by simulation: Convergence proofs for the GI/G/I queue in steady state. Management Science 40(11): 1562–1578.
10.R. Rubinstein (1981). Simulation and the Monte Carlo Method. New York: John Wiley.
11.A. Ruszczynski & W. Syski (1983). Stochastic approximation method with gradient averaging for unconstrained problems. IEEE Transactions on Automatic Control AC-28(12): 1097–1105.
12.J.C. Spall (1992). Multivariate stochastic approximation using a simultaneous perturbation gradient approximation. IEEE Transactions on Automatic Control 37(3): 332–341.
13.R. Suri & M.A. Zazanis (1988). Perturbation analysis gives strongly consistent estimates for the M/G/1 queue. Management Science 34(1): 39–64.