Colonoscopy 发表于 2025-3-28 15:27:46
http://reply.papertrans.cn/67/6656/665539/665539_41.pnggrounded 发表于 2025-3-28 21:20:05
http://reply.papertrans.cn/67/6656/665539/665539_42.pngArbitrary 发表于 2025-3-29 01:30:39
http://reply.papertrans.cn/67/6656/665539/665539_43.pngRestenosis 发表于 2025-3-29 06:31:03
Richard A. Wernering both the argument and the conditions that are needed. For example, the weak convergence proof might tell us that the iterates spend the great bulk of the time very near some point. Then a “local” method such as that for the “linearized” algorithm in Theorem 6.1.2 can be used. The basic ideas hav人类 发表于 2025-3-29 09:01:10
Richard A. Wernernded considerably. Constrained and unconstrained problems are treated, as is the rate of convergence problem. While the basic method is rather simple, it can be elaborated to allow a broad and deep coverage of stochastic approximation like problems. The approach, relating algorithm behavior to quali腼腆 发表于 2025-3-29 13:37:21
http://reply.papertrans.cn/67/6656/665539/665539_46.png手术刀 发表于 2025-3-29 18:32:10
http://reply.papertrans.cn/67/6656/665539/665539_47.pngPRISE 发表于 2025-3-29 21:04:02
Richard A. Wernerseeking problem for an unknown function. To see this, let - note the observation at time i. e. , the information available about the unknown parameters at time It can be assumed that the parameter under estimation denoted by is a root of some unknown function This is not a restriction, because, fornonplus 发表于 2025-3-30 01:25:51
http://reply.papertrans.cn/67/6656/665539/665539_49.pngsigmoid-colon 发表于 2025-3-30 06:38:20
http://reply.papertrans.cn/67/6656/665539/665539_50.png