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Excerpt from Method for the Solution of the Multi-Dimensional 0/1 Knapsack Problem
The project was conducted with the Compatible Time Sharing System of Project mac. The problem arises in the context of capital budgeting, but has obvious applications in a variety of other areas. The methods have been employed for solving numerical problems with as many as 105 items, the parameters having been obtained from industrial applications.
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Method for the Solution of the Multi-Dimensional 0/1 Knapsack Problem
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Paperback. Zustand: New. Print on Demand. This book introduces a novel computational method for solving multi-dimensional multi-variate knapsack problems. The knapsack problem is a classic problem in operations research, and it has applications in a wide range of problems in business, economics, and engineering. The author develops a new dynamic programming algorithm with a number of features that make it more efficient than existing methods, such as the use of a look-ahead strategy, a lower bound elimination method, and an upper bound method. These features help the algorithm to reduce the number of branches that must be considered, resulting in a significant reduction in computation time. The author also developed a user-friendly computer program based on this new algorithm, and he discusses using the program to efficiently solve. The book offers a comprehensive description of the algorithm with detailed examples and case studies, illustrating how it can be used to solve complex real-world problems. Aimed at researchers and advanced students in operations research, industrial engineering, and business administration, this book is a valuable resource on the latest techniques for solving multi-dimensional multi-variate knapsack problems. 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 9781333745783_0
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