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Data Structures and Algorithms, Schemes and Mind Maps of Data Structures and Algorithms

An overview of four advanced data structures: trees, graphs, heaps, and hash tables. It explains the basic concepts of each data structure, their applications, and examples. Trees are hierarchical data structures with a root node and child nodes, binary trees are the most commonly used. Graphs are collections of vertices and edges that connect them, used to represent complex systems or relationships. Heaps are specialized tree-based data structures that satisfy the heap property, used to implement priority queues. Hash tables are data structures that map keys to values using a hash function, allowing for fast access to values based on their keys.

Typology: Schemes and Mind Maps

2022/2023

Available from 03/01/2023

anjali-mali
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Advanced data structures
Trees:
A tree is a hierarchical data structure in which each node has a parent node (except for the root
node) and zero or more child nodes. There are many different types of trees, but binary trees
are among the most commonly used. In a binary tree, each node has at most two child nodes.
Here's an example of a binary tree:
In this binary tree, the root node is 4, and it has two child nodes, 2 and 5. Node 2 has two child
nodes, 1 and 3, and node 5 has two child nodes, 6 and 7. Trees are used in many applications,
such as hierarchical file systems, decision trees in machine learning, and XML parsing.
Graphs:
A graph is a collection of vertices (or nodes) and edges that connect them. Graphs are used to
represent complex systems or relationships, such as social networks, transportation networks,
and electrical circuits. Here's an example of a graph:
4
2
1 3
5
6 7
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Advanced data structures

Trees: A tree is a hierarchical data structure in which each node has a parent node (except for the root node) and zero or more child nodes. There are many different types of trees, but binary trees are among the most commonly used. In a binary tree, each node has at most two child nodes. Here's an example of a binary tree: In this binary tree, the root node is 4, and it has two child nodes, 2 and 5. Node 2 has two child nodes, 1 and 3, and node 5 has two child nodes, 6 and 7. Trees are used in many applications, such as hierarchical file systems, decision trees in machine learning, and XML parsing. Graphs: A graph is a collection of vertices (or nodes) and edges that connect them. Graphs are used to represent complex systems or relationships, such as social networks, transportation networks, and electrical circuits. Here's an example of a graph:

In this graph, there are six nodes (A through F) and seven edges. Node A is connected to nodes B and D, node B is connected to nodes A, C, and E, and so on. Graphs can be directed (where edges have a direction) or undirected (where edges have no direction), and can be weighted (where edges have a weight or cost) or unweighted (where edges have no weight). Graphs are used in many applications, such as network analysis, route planning, and social network analysis. Heaps: A heap is a specialized tree-based data structure that satisfies the heap property, which states that the parent node is always greater (or smaller) than its children. Heaps are often used to implement priority queues, which are used to manage tasks in order of importance. Here's an example of a max heap: In this max heap, the root node (10) is the largest value, and each parent node is larger than its children. Heaps are used in many applications, such as sorting algorithms (such as heapsort), job scheduling, and task management. Hash tables: A hash table is a data structure that maps keys to values using a hash function. It allows for fast access to values based on their keys. Here's an example of a hash table: