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Weak convergence for stochastic approximation algorithms with bounded but discontinuous driving forces | IEEE Conference Publication | IEEE Xplore

Weak convergence for stochastic approximation algorithms with bounded but discontinuous driving forces


Abstract:

Stochastic approximation algorithms of the form xn+1 = xn + an G(xn, En) are treated where G(x, E) is bounded but might be discontinuous. The method of averaging and Liap...Show More

Abstract:

Stochastic approximation algorithms of the form xn+1 = xn + an G(xn, En) are treated where G(x, E) is bounded but might be discontinuous. The method of averaging and Liapunov's direct method are combined to get tightness of {xn, n ≥ 0} and weak convergence result of xn, as n goes to +∞.
Date of Conference: 08-10 December 1982
Date Added to IEEE Xplore: 02 April 2007
Conference Location: Orlando, FL, USA
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