Functional Decomposition | Functional decomposition, Function (mathematics), Function composition, Bayesian network, Database normalization, Inductive inference, Knowledge representation and reasoning, Disjoint sets

Frederic P. Miller (u. a.)

ISBN 10: 6130707746 / ISBN 13: 9786130707743

Published by OmniScriptum, 2026

About this Item

Functional Decomposition | Functional decomposition, Function (mathematics), Function composition, Bayesian network, Database normalization, Inductive inference, Knowledge representation and reasoning, Disjoint sets | Frederic P. Miller (u. a.) | Taschenbuch | Englisch | 2026 | OmniScriptum | EAN 9786130707743 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand.

Seller Inventory # 113239340

Bibliographic Details

• Title: Functional Decomposition | Functional decomposition, Function (mathematics), Function composition, Bayesian network, Database normalization, Inductive inference, Knowledge representation and reasoning, Disjoint sets
• Publisher: OmniScriptum
• Publication Date: 2026
• Language: English
• ISBN 10: 6130707746
• ISBN 13: 9786130707743
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 5D millimeters 220 millimeters width by 150 millimeters height by 5 millimeters depth
• Weight: 125 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. Functional decomposition refers broadly to the process of resolving a functional relationship into its constituent parts in such a way that the original function can be reconstructed from those parts by function composition. In general, this process of decomposition is undertaken either for the purpose of gaining insight into the identity of the constituent components, or for the purpose of obtaining a compressed representation of the global function, a task which is feasible only when the constituent processes possess a certain level of modularity.