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Dynamic Efficiency Algorithms Maintaining by Sabah Mustafa (12 results)
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Dynamic Efficiency: Algorithms for Maintaining Binary Search Trees
Language: English
Published by LAP LAMBERT Academic Publishing, 2024
ISBN 10: 6208170680 ISBN 13: 9786208170684
Condition: New.
-
Dynamic Efficiency: Algorithms for Maintaining Binary Search Trees
Language: English
Published by LAP LAMBERT Academic Publishing, 2024
ISBN 10: 6208170680 ISBN 13: 9786208170684
Condition: As New. Unread book in perfect condition.
-
Dynamic Efficiency: Algorithms for Maintaining Binary Search Trees: Review for Efficient Algorithm to Maintain the Binary Search Tree Dynamically
Language: English
Published by LAP LAMBERT Academic Publishing, 2024
ISBN 10: 6208170680 ISBN 13: 9786208170684
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 36.16
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Dynamic Efficiency: Algorithms for Maintaining Binary Search Trees
Language: English
Published by LAP LAMBERT Academic Publishing, 2024
ISBN 10: 6208170680 ISBN 13: 9786208170684
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
-
Dynamic Efficiency: Algorithms for Maintaining Binary Search Trees
Language: English
Published by LAP LAMBERT Academic Publishing, 2024
ISBN 10: 6208170680 ISBN 13: 9786208170684
Condition: New.
-
Dynamic Efficiency: Algorithms for Maintaining Binary Search Trees
Language: English
Published by LAP LAMBERT Academic Publishing, 2024
ISBN 10: 6208170680 ISBN 13: 9786208170684
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
-
Dynamic Efficiency: Algorithms for Maintaining Binary Search Trees | Review for Efficient Algorithm to Maintain the Binary Search Tree Dynamically
Language: English
Published by LAP LAMBERT Academic Publishing, 2024
ISBN 10: 6208170680 ISBN 13: 9786208170684
Taschenbuch. Condition: Neu. Dynamic Efficiency: Algorithms for Maintaining Binary Search Trees | Review for Efficient Algorithm to Maintain the Binary Search Tree Dynamically | Iman Sabah Mustafa (u. a.) | Taschenbuch | Englisch | 2024 | LAP LAMBERT Academic Publishing | EAN 9786208170684 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
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Dynamic Efficiency: Algorithms for Maintaining Binary Search Trees
Language: English
Published by LAP LAMBERT Academic Publishing, 2024
ISBN 10: 6208170680 ISBN 13: 9786208170684
Condition: New. Print on Demand.
-
Dynamic Efficiency: Algorithms for Maintaining Binary Search Trees
Language: English
Published by LAP LAMBERT Academic Publishing Sep 2024, 2024
ISBN 10: 6208170680 ISBN 13: 9786208170684
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 52 pp. Englisch.
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Dynamic Efficiency: Algorithms for Maintaining Binary Search Trees
Language: English
Published by LAP LAMBERT Academic Publishing, 2024
ISBN 10: 6208170680 ISBN 13: 9786208170684
Condition: New. PRINT ON DEMAND.
-
Dynamic Efficiency: Algorithms for Maintaining Binary Search Trees
Language: English
Published by LAP LAMBERT Academic Publishing Sep 2024, 2024
ISBN 10: 6208170680 ISBN 13: 9786208170684
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -A Binary Search Tree (BST) optimizes search operations by organizing data for fast lookups, insertions, and deletions. Various balancing algorithms, including single and double rotations, have been developed to maintain this efficiency. While double rotations are effective, they consume more computational resources, potentially impacting system performance in environments with frequent searches.Evaluations of different algorithms for dynamically maintaining BSTs focus on unpredictable search patterns, managing tasks like inserting new nodes and restructuring the tree to reduce path length and search time. Height-Balanced Trees, such as AVL Trees, keep minimal height differences between subtrees for efficient searches, while Bounded-Balance Trees, like Red-Black Trees, allow more relaxed balancing for specific operations.Hybrid algorithms blend features of both tree types for enhanced performance. The paper presents a novel method that improves upon double rotations, achieving similar balancing results with nearly half the computational steps. This advancement promises to significantly enhance BST maintenance efficiency and overall system performance in dynamic search environments.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 52 pp. Englisch.
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Dynamic Efficiency: Algorithms for Maintaining Binary Search Trees : Review for Efficient Algorithm to Maintain the Binary Search Tree Dynamically
Language: English
Published by LAP LAMBERT Academic Publishing, 2024
ISBN 10: 6208170680 ISBN 13: 9786208170684
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - A Binary Search Tree (BST) optimizes search operations by organizing data for fast lookups, insertions, and deletions. Various balancing algorithms, including single and double rotations, have been developed to maintain this efficiency. While double rotations are effective, they consume more computational resources, potentially impacting system performance in environments with frequent searches.Evaluations of different algorithms for dynamically maintaining BSTs focus on unpredictable search patterns, managing tasks like inserting new nodes and restructuring the tree to reduce path length and search time. Height-Balanced Trees, such as AVL Trees, keep minimal height differences between subtrees for efficient searches, while Bounded-Balance Trees, like Red-Black Trees, allow more relaxed balancing for specific operations.Hybrid algorithms blend features of both tree types for enhanced performance. The paper presents a novel method that improves upon double rotations, achieving similar balancing results with nearly half the computational steps. This advancement promises to significantly enhance BST maintenance efficiency and overall system performance in dynamic search environments.
