MindMap Gallery Introduction to Data Structures
This mind map about the introduction to data structures organizes the contents of linear tables, stacks, queues, arrays, trees and binary trees, graphs, search, and sorting. Let's take a look at it together.
Edited at 2023-05-16 11:08:31This article discusses the Easter eggs and homages in Zootopia 2 that you may have discovered. The main content includes: character and archetype Easter eggs, cinematic universe crossover Easter eggs, animal ecology and behavior references, symbol and metaphor Easter eggs, social satire and brand allusions, and emotional storylines and sequel foreshadowing.
[Zootopia Character Relationship Chart] The idealistic rabbit police officer Judy and the cynical fox conman Nick form a charmingly contrasting duo, rising from street hustlers to become Zootopia police officers!
This is a mind map about Deep Analysis of Character Relationships in Zootopia 2, Main content: 1、 Multi-layer network of relationships: interweaving of main lines, branch lines, and hidden interactions, 2、 Motivation for Character Behavior: Active Promoter and Hidden Intendant, 3、 Key points of interaction: logic of conflict, collaboration, and covert support, 4、 Fun Easter eggs: metaphorical details hidden in interactions.
This article discusses the Easter eggs and homages in Zootopia 2 that you may have discovered. The main content includes: character and archetype Easter eggs, cinematic universe crossover Easter eggs, animal ecology and behavior references, symbol and metaphor Easter eggs, social satire and brand allusions, and emotional storylines and sequel foreshadowing.
[Zootopia Character Relationship Chart] The idealistic rabbit police officer Judy and the cynical fox conman Nick form a charmingly contrasting duo, rising from street hustlers to become Zootopia police officers!
This is a mind map about Deep Analysis of Character Relationships in Zootopia 2, Main content: 1、 Multi-layer network of relationships: interweaving of main lines, branch lines, and hidden interactions, 2、 Motivation for Character Behavior: Active Promoter and Hidden Intendant, 3、 Key points of interaction: logic of conflict, collaboration, and covert support, 4、 Fun Easter eggs: metaphorical details hidden in interactions.
Introduction to Data Structures
1.Overview
Basic concepts and terminology
data, data element, data item
logical structure of data
Data storage structure
Operation
algorithm
Algorithm and description
Analysis of Algorithms
time complexity
space complexity
2. Linear table
Basic concepts of linear tables
Sequential storage of linear tables
Type definition for linear table sequential storage
Implementation of basic operations of linear tables on sequential tables
Analysis of sequence table implementation algorithm
Linked storage for linear tables
Type definition of singly linked list
Implementation of basic operations of linear tables on singly linked lists
Other operations on singly linked lists
Create table
Remove duplicate nodes
Other linked lists
circular linked list
Two-way circular linked list
Sequential versus chained implementation
3. Stack, queue, array
stack
Basic concepts of stack
Sequential implementation of stack
Stack link implementation
Simple application of stack and recursion
queue
Basic concepts of queues
Queue sequence implementation
Queue link implementation
queue application
array
Logical structure and basic operations of arrays
Array storage structure
Compressed storage of matrices
4. Trees and binary trees
Basic concepts of trees
tree concept
tree related terms
Binary tree
Basic concepts of binary trees
Properties of binary trees
Binary tree storage structure
Sequential storage structure of binary tree
Binary tree chain storage structure
Binary tree traversal
Recursive implementation of binary tree traversal
Binary tree level traversal
Non-recursive implementation of binary tree traversal
trees and forest
tree storage structure
The relationship between trees, forests and binary trees
Tree and forest traversal
Decision trees and Huffman trees
Classification and decision trees
Huffman tree and Huffman algorithm
Huffman coding
5. Figure
Basic concepts of graphs
Diagram application background
Graph definitions and terminology
Graph storage structure
adjacency matrix
adjacency list
Graph traversal
Depth-first search of connected graphs
Breadth-first search of connected graphs
Application of diagrams
minimum spanning tree
topological sort
6.Find
basic concept
static lookup table
Search on sequence list
Search on ordered list
Search on index-ordered table
Binary sorting tree
hash table
Common hashing methods
Hash table implementation
Basic operation algorithm of hash table
7. Sort
Overview
insertion sort
swap sort
Bubble Sort
Quick sort
selection sort
Direct selection sort
Heap sort
merge sort
Merge of ordered sequences
Two-way merge sort