{ "item_title" : "Stochastic Approximation", "item_author" : [" Vivek S. Borkar "], "item_description" : "This simple, compact toolkit for designing and analyzing stochastic approximation algorithms requires only a basic understanding of probability and differential equations. Although powerful, these algorithms have applications in control and communications engineering, artificial intelligence and economic modeling. Unique topics include finite-time behavior, multiple timescales and asynchronous implementation. There is a useful plethora of applications, each with concrete examples from engineering and economics. Notably it covers variants of stochastic gradient-based optimization schemes, fixed-point solvers, which are commonplace in learning algorithms for approximate dynamic programming, and some models of collective behavior.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/0/52/151/592/0521515920_b.jpg", "price_data" : { "retail_price" : "81.00", "online_price" : "81.00", "our_price" : "81.00", "club_price" : "81.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

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