Optimization of Linear Discrete Systems: An Approach to the Staircase Problem

Hubert Tavernier

ISBN 10: 1332273300 / ISBN 13: 9781332273300

Published by Forgotten Books, 2018

About this Item

Print on Demand. This book delves into the complexities of optimizing linear discrete systems with a focus on the staircase problem. The author draws upon concepts from both mathematical programming and optimal control theory to offer a comprehensive and theoretically grounded approach to the subject. The book begins by establishing the foundations of feasibility and controllability within the framework of the staircase problem. It then explores the intricacies of optimization using a dynamic programming perspective, presenting a novel method for reformulating the problem as a decoupled optimization problem. The author also discusses the advantages of this approach in designing practical algorithms. The book's insights contribute to a deeper understanding of the staircase problem and provide valuable guidance for long-range planning and decision-making in dynamic environments. By considering both short and medium-range decisions, the author demonstrates how to effectively balance immediate returns with long-term goals, an approach particularly relevant in fields such as production, economics, and public policy. 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. Seller Inventory # 9781332273300_0

Bibliographic Details

Title: Optimization of Linear Discrete Systems: An ...

Publisher: Forgotten Books

Publication Date: 2018

Binding: Paperback

Condition: New

Book Type: print-on-demand item

About this title

Synopsis:

Excerpt from Optimization of Linear Discrete Systems<br/><br/>On the other hand Operations research is more and more concerned with systems analysis. One can argue that the essential problems lie in the search for the relevant factors and in the modelling of the actual system. But is is also clear that the appropriate mathematical techniques have not been yet fully developed.