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Excerpt from A Comparison of Tree Search Schemes for Decision Networks
Crowston and Thompson show how Decision cpm networks can be given a mathematical representation using integer variables. Crowston also shows in [1] that all nondecision jobs (i.e. Jobs for which there are no alternatives) may be eliminated from the original network in a fashion so that resulting reduced network is equivalent in the following sense: Given a set of decisions, the resulting early start times for all decision jobs in the reduced network will be the same as those in the original.
The optimal solution to the reduced network is thus optimal to the original.
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A Comparison of Tree Search Schemes for Decision Networks (Classic Reprint)
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Paperback. Zustand: New. Print on Demand. This book presents a comprehensive guide to Decision Critical Path Method (DCPM) for project planning. DCPM is a technique that combines the traditional Critical Path Method with decision theory. It allows project managers to consider multiple alternatives for each task, each with its own cost, duration, and technological dependencies. The book thoroughly explores the theory and algorithms behind DCPM and provides a step-by-step guide to its implementation. The author explains various concepts, such as feasibility tests, bound determination, branching and backtracking, and algorithm termination. Detailed examples and a sample problem demonstrate the application of DCPM algorithms in practice. The book also addresses advanced topics such as partitioning and decomposition, which can significantly improve solution time for large-scale projects. By mastering the techniques presented in this book, project managers can make informed decisions that optimize project outcomes and achieve better resource allocation. 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. Bestandsnummer des Verkäufers 9781334017049_0
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