Advanced Data Structure by Rathi Preeti (7 results)

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Taschenbuch. Condition: Neu. Advanced Data Structure | Preeti Rathi | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2024 | LAP LAMBERT Academic Publishing | EAN 9786207811076 | 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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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Advanced data structures provide powerful tools for efficient manipulation and retrieval of data, crucial in diverse computational tasks. Structures like segment trees excel in handling range queries and updates with logarithmic time complexity, making them invaluable for applications needing frequent computations over contiguous subarrays. Tries, or prefix trees, are optimal for managing and querying sets of strings based on prefixes, essential for autocomplete and dictionary implementations. Heaps, including binary heaps and priority queues, efficiently manage elements with priorities, ensuring quick access to the highest (or lowest) priority item. Hash tables provide average constant-time operations for insertion, deletion, and search, ideal for scenarios requiring fast key-based data retrieval. Each of these structures offers unique advantages, from space efficiency and rapid operations to specialized handling of specific data types and operations, making them essential tools for algorithm design and optimization in various domains. 80 pp. Englisch.

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Advanced data structures provide powerful tools for efficient manipulation and retrieval of data, crucial in diverse computational tasks. Structures like segment trees excel in handling range queries and updates with logarithmic time complexity, making them invaluable for applications needing frequent computations over contiguous subarrays. Tries, or prefix trees, are optimal for managing and querying sets of strings based on prefixes, essential for autocomplete and dictionary implementations. Heaps, including binary heaps and priority queues, efficiently manage elements with priorities, ensuring quick access to the highest (or lowest) priority item. Hash tables provide average constant-time operations for insertion, deletion, and search, ideal for scenarios requiring fast key-based data retrieval. Each of these structures offers unique advantages, from space efficiency and rapid operations to specialized handling of specific data types and operations, making them essential tools for algorithm design and optimization in various domains.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 80 pp. Englisch.

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Advanced data structures provide powerful tools for efficient manipulation and retrieval of data, crucial in diverse computational tasks. Structures like segment trees excel in handling range queries and updates with logarithmic time complexity, making them invaluable for applications needing frequent computations over contiguous subarrays. Tries, or prefix trees, are optimal for managing and querying sets of strings based on prefixes, essential for autocomplete and dictionary implementations. Heaps, including binary heaps and priority queues, efficiently manage elements with priorities, ensuring quick access to the highest (or lowest) priority item. Hash tables provide average constant-time operations for insertion, deletion, and search, ideal for scenarios requiring fast key-based data retrieval. Each of these structures offers unique advantages, from space efficiency and rapid operations to specialized handling of specific data types and operations, making them essential tools for algorithm design and optimization in various domains.