ISBN: 9781332270880 - a multivariate adaptive control model (classic reprint) (3 risultati)

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  • Lingua: Inglese

    Editore: Forgotten Books, 2018

    1332270883 / 9781332270880

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    Da: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US

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    Condizione: Nuovo

    EUR 25,73

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    Spedito in U.S.A.

    Quantità: 15 disponibili

    PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

  • Lingua: Inglese

    Editore: Forgotten Books, 2018

    1332270883 / 9781332270880

    • Brossura

    Da: PBShop.store UK, Fairford, GLOS, Regno UnitoPBShop.store UK

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    Condizione: Nuovo

    EUR 25,21

    EUR 3,92 spedizione 
    Spedito da Regno Unito a U.S.A.

    Quantità: 15 disponibili

    PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

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    Lingua: Inglese

    Editore: Forgotten Books, 2018

    1332270883 / 9781332270880

    • Brossura
    • Print on Demand

    Da: Forgotten Books, London, Regno UnitoForgotten Books

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    Condizione: Nuovo

    EUR 16,16

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    Quantità: Più di 20 disponibili

    Paperback. Condizione: New. Print on Demand. This book presents a highly specialized multivariate adaptive control model aimed at optimizing decision-making processes involving multiple variables. Drawing inspiration from previous research on single-variable control, the author extends the model to handle multiple control variables, each of which affects a response function in a linear and quadratic manner. The model incorporates an experimental design component utilizing a 2r factorial experiment to gather information and update distributions of unknown coefficients. The author employs Bayesian methods to calculate optimal control settings based on discounted future profits, considering both operational costs and experimental design parameters. The book's strength lies in its detailed justification of optimization results through dynamic programming arguments and its focus on simplicity of operation. Optimal control is achieved through straightforward exponential smoothing rules, making the model accessible and practical for real-world applications. By providing a comprehensive framework for adaptive control in complex, multivariate systems, this book offers valuable insights into the optimization of decision-making processes across a broad range of disciplines. This book is a reproduction of an important historical work, digitally reconstructed using state-of-the-art technology to preserve the original format. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in the book. print-on-demand item.…