A Multivariate Adaptive Control Model (Classic Reprint)

Language: English

Published by Forgotten Books, 2018

1332270883 / 9781332270880

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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.

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Title
A Multivariate Adaptive Control Model (Classic Reprint)
Author
John D. C. Little
Publisher
Forgotten Books
Publication year
2018
Condition
New
Book Type
print-on-demand item
Binding
Paperback
Language
English
ISBN 10
1332270883
ISBN 13
9781332270880
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Forgotten Books

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Forgotten Books’ Classic Reprint Series utilizes the latest technology to regenerate facsimiles of historically important writings. Careful attention has been made to accurately preserve the original format of each page whilst digitally enhancing the quality of the aged text.

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