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Extra resources for A Branch-and-Bound Algorithm to Solve a Multi-level Network Optimization Problem

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1, Topic 1 and Topic 0 (the top node of the hierarchy). These are just four of the 37 records required to capture all paths for the sample hierarchy in Figure 1. To demonstrate how the Path Table can simplify data retrieval, consider the same challenge of showing how many documents belong to each main topic, including all subtopics below it. By joining the tables as shown in Figure 3, we can easily select all documents that belong under each Level-1 topic. Since the Path Table includes a zerolength path between each topic and itself, documents that belong directly to Level-1 topics would be included in the result set.

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Copying or distributing in print or electronic forms without written permission of Idea Group Inc. is prohibited. , Le Thanh, N. & Reguig, M. (1994). Décomposition rectangulaire optimale d’une relation binaire: Aplication aux bases de données documentaires. INFOR, 32(1), 33-54. -F. (1989). Outline of a knowledge-base model for an intelligent information retrieval system. Information Processing & Management, 25(1), 89-115. , Neumann, G. & Uszkoreit, H. (1997). MULINEX multilingual indexing, navigation and editing extensions for the World Wide Web.

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A Branch-and-Bound Algorithm to Solve a Multi-level Network Optimization Problem by Cruz F. R., Mateus G. R., Smith J. M.


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