Design & Analysis of Algorithms - Vol 2 | 14. Search Trees by Abraham | Learn Smarter
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14. Search Trees

14. Search Trees

Search Trees are a crucial data structure for managing requests based on priority, particularly in time-sensitive scenarios like air traffic control. By leveraging the properties of binary search trees, operations such as insertion, deletion, and searching can be optimized to logarithmic time complexities, allowing for efficient management of event requests. The chapter details the structure of binary search trees, their operational efficiency, and practical implementations in scenarios requiring ordered data retrieval.

13 sections

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Sections

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  1. 1
    Search Trees

    This section introduces Search Trees as a data structure essential for...

  2. 1.1
    Introduction To Search Trees

    This section introduces search trees, focusing on their application in...

  3. 1.2
    Use Case: Air Traffic Control

    The section discusses the use of search trees as data structures in air...

  4. 1.3
    Priority Queue And Min Heap

    This section introduces the concept of priority queues and min heaps,...

  5. 1.4
    Minimum Separation Requirement

    The section discusses the concept of ensuring minimum separation between...

  6. 1.5
    Predecessor And Successor

    This section introduces the concept of predecessors and successors in the...

  7. 1.6
    Data Structures Comparison

    This section discusses the importance of search trees in algorithm design,...

  8. 1.7
    Binary Search Trees

    This section introduces Binary Search Trees (BSTs), a type of data structure...

  9. 1.8
    Binary Tree Basics

    This section introduces binary trees and binary search trees, emphasizing...

  10. 1.9
    Node Terminology

    This section introduces search trees, focusing on node terminology and their...

  11. 1.10
    Binary Search Tree Properties

    This section explores the properties of Binary Search Trees (BSTs) and their...

  12. 1.11
    In-Order Traversal

    In-order traversal is a method of visiting each node in a binary search tree...

  13. 1.12
    Searching In Binary Search Trees

    This section discusses binary search trees and their operations, focusing on...

What we have learnt

  • Binary search trees allow for logarithmic time complexity in insertion, deletion, and search operations.
  • The constraints of binary search trees ensure that nodes are arranged such that all left descendants are smaller and all right descendants are larger than the parent node.
  • In-order traversal of a binary search tree results in a sorted sequence of values.

Key Concepts

-- Binary Search Tree (BST)
A type of data structure where each node has a maximum of two children, with left children being less than the parent node and right children being greater.
-- InOrder Traversal
A method of traversing a binary search tree where the left subtree is visited first, followed by the parent node, and then the right subtree, resulting in values being printed in sorted order.
-- Heap
A specialized tree-based structure that satisfies the heap property where the parent node's value is either greater than or equal to or less than or equal to that of its children, depending on whether it is a max heap or min heap.
-- Predecessor and Successor
In the context of a binary search tree, the predecessor is the largest value that is less than a given node value, and the successor is the smallest value that is greater.

Additional Learning Materials

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