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{ "item_title" : "Ergodic Control of Diffusion Processes", "item_author" : [" Ari Arapostathis "], "item_description" : "This comprehensive volume on ergodic control for diffusions highlights intuition alongside technical arguments. A concise account of Markov process theory is followed by a complete development of the fundamental issues and formalisms in control of diffusions. This then leads to a comprehensive treatment of ergodic control, a problem that straddles stochastic control and the ergodic theory of Markov processes. The interplay between the probabilistic and ergodic-theoretic aspects of the problem, notably the asymptotics of empirical measures on one hand, and the analytic aspects leading to a characterization of optimality via the associated Hamilton-Jacobi-Bellman equation on the other, is clearly revealed. The more abstract controlled martingale problem is also presented, in addition to many other related issues and models. Assuming only graduate-level probability and analysis, the authors develop the theory in a manner that makes it accessible to users in applied mathematics, engineering, finance and operations research.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/0/52/176/840/0521768403_b.jpg", "price_data" : { "retail_price" : "139.00", "online_price" : "139.00", "our_price" : "139.00", "club_price" : "139.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Ergodic Control of Diffusion Processes|Ari Arapostathis

Ergodic Control of Diffusion Processes

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Overview

This comprehensive volume on ergodic control for diffusions highlights intuition alongside technical arguments. A concise account of Markov process theory is followed by a complete development of the fundamental issues and formalisms in control of diffusions. This then leads to a comprehensive treatment of ergodic control, a problem that straddles stochastic control and the ergodic theory of Markov processes. The interplay between the probabilistic and ergodic-theoretic aspects of the problem, notably the asymptotics of empirical measures on one hand, and the analytic aspects leading to a characterization of optimality via the associated Hamilton-Jacobi-Bellman equation on the other, is clearly revealed. The more abstract controlled martingale problem is also presented, in addition to many other related issues and models. Assuming only graduate-level probability and analysis, the authors develop the theory in a manner that makes it accessible to users in applied mathematics, engineering, finance and operations research.

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Details

  • ISBN-13: 9780521768405
  • ISBN-10: 0521768403
  • Publisher: Cambridge University Press
  • Publish Date: November 2011
  • Dimensions: 9.3 x 6.2 x 0.9 inches
  • Shipping Weight: 1.45 pounds
  • Page Count: 340

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