Dynamic Efficiency: Algorithms for Maintaining Binary Search Trees | Review for Efficient Algorithm to Maintain the Binary Search Tree Dynamically

Iman Sabah Mustafa (u. a.)

ISBN 10: 6208170680 / ISBN 13: 9786208170684

Published by LAP LAMBERT Academic Publishing, 2024

About this Item

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.

Seller Inventory # 130298041

Bibliographic Details

• Title: Dynamic Efficiency: Algorithms for Maintaining Binary Search Trees | Review for Efficient Algorithm to Maintain the Binary Search Tree Dynamically
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2024
• Language: English
• ISBN 10: 6208170680
• ISBN 13: 9786208170684
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 4D millimeters 220 millimeters width by 150 millimeters height by 4 millimeters depth
• Weight: 96 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

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.