Explanation
Graph Theory Algorithms Observed is a training course on Graph Theory algorithms published by Udemy Academy. This training course will teach you all the algorithms discussed in a visual and graphical format. Algorithms Graph visualization is a widely used and very important framework for algorithms used in various projects. The main topics discussed in this course include the representation of graphs, graphs, local sorting or local ordering, the problem of finding the shortest path, minimum height tree or minimum height tree, graph coloring, etc. made In general, about 20 different algorithms will be taught in this course, and different models and images will be presented for each of them.
These algorithms will not be discussed theoretically, but will be implemented and described by the course instructor using a programming language, so that the student learns the practical aspects and challenges. It is worth noting that all questions, problems, notes, pages and source code of course projects will be available in separate files.
You will learn graph theory algorithms and see:
- Advanced search algorithm
- A breadth-first search algorithm
- Topological classification
- Dijkstra’s Algorithm
- Bellman-Ford algorithm
- Floyd-Warshall algorithm
- Johnson’s Algorithm
- And…
Course guidelines
Publisher: Udemy
Teachers: Inside Code
Language: English
Level: Medium
Number of Lessons: 80
Duration: 15 hours and 23 minutes
course topics
Algorithms Viewed in graph view Prerequisites
Basic programming knowledge
Knowledge of algorithmic techniques is preferred (recursion, regression, dynamic programming…)
Knowledge of data structures is preferred (hashtable, row, nested, nested, heap…)
Pictures
Algorithms Introductory visualization of graphs
installation guide
After the launch, watch your favorite player.
Subtitle: English
Quality: 720p
Changes:
Version 2023/7 compared to 2023/2 increased the number of 33 lessons and the duration of 6 hours and 20 minutes.
download link
Password file: free download software
size
4.34 GB