Segment tree meaning in DSA

Segment Tree

Last Updated : 14 Dec, 2024

Segment Tree is a data structures that allows efficient querying and updating of intervals or segments of an array.

It is particularly useful for problems involving range queries, such as finding the sum, minimum, maximum, or any other operation over a specific range of elements in an array.
The tree is built recursively by dividing the array into segments until each segment represents a single element.
This structure enables fast query and update operations with a time complexity of O(log n), making it a powerful tool in algorithm design and optimization .

Segment-Tree-(1) — Segment Tree

Types of Operations:

The operations that the segment tree can perform must be binary and associative. Some of the examples of operations are:

Finding Range Sum Queries
Searching index with given prefix sum
Finding Range Maximum/Minimum
Counting frequency of Range Maximum/Minimum
Finding Range GCD/LCM
Finding Range AND/OR/XOR
Finding number of zeros in the given range or finding index of Kth zero

Basics of Segment Tree:

Lazy Propagation:

Range Queries:

Some interesting problem on Segment Tree:

Applications of Segment Tree:

Interval scheduling: Segment trees can be used to efficiently schedule non-overlapping intervals, such as scheduling appointments or allocating resources.
Range-based statistics: Segment trees can be used to compute range-based statistics such as variance, standard deviation, and percentiles.
Image processing: Segment trees are used in image processing algorithms to divide an image into segments based on color, texture, or other attributes.

Segment tree meaning in DSA

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