Udemy - Graph Theory Algorithms for Competitive Programming (2022)
Graph Theory Algorithms for Competitive Programming

Udemy – Graph Theory Algorithms for Competitive Programming (2022)

Description

Graph Theory Algorithms for Competitive Programming (2022) is a training course in graph theory and algorithms for competitive programming published by Udemy Academy. Graph algorithms have many applications in computer science and mathematics and are very important and necessary topics. In this course, in addition to theoretical and theoretical topics, you will deal with graph theory in a completely practical way and use its algorithms to solve various software challenges.

Among the most important applications of graph algorithms are computer vision, image segmentation, vehicle routing, and so on. Graph algorithms have been used in various applications such as Google Maps, Facebook, Instagram, Quora, LinkedIn, and و, and almost all major technology companies have used this powerful technology in some way.

In this training course, you will implement all graph algorithms with the C ++ programming language. At the end of the course, you will be presented with 80 programming problems and challenges that you will be able to solve only with algorithm writing and complete mastery of graph theory.

What you will learn in Graph Theory Algorithms for Competitive Programming (2022):

  • Graph theory and its various applications
  • First Level Search Algorithm ( BFS )
  • First Depth Search Algorithm ( DFS )
  • Connected Components _
  • The problem of finding the shortest path
  • Diextra algorithm
  • Belman’s equation
  • Floyd – Warshall algorithm
  • Traveling salesman problem
  • Topological sorting
  • Strongly connected component
  • Separate collections (data structure)
  • Minimal cover tree
  • Eulerian round
  • Life cycle assessment
  • Component Two

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Udemy – Mastering critical SKILLS in Data Structures using Python 2021

Udemy – SOLIDWORKS Academy: A Comprehensive Course on SolidWorks. 2022

Course specifications

Publisher: Udemy
Instructor: Prateek Narang, Apaar Kamal, and Coding Minutes
Language: English
Education Level: Basic to Advanced
Number of Courses: 118
Training Duration: 23 hours and 7 minutes

Graph Theory Algorithms for Competitive Programming Course topics

 

Graph Theory Algorithms for Competitive Programming

Graph Theory Algorithms for Competitive Programming Course Prerequisites

Familiarity with basic data structures

Ability to write/understand code

Prior experience in problem-solving

Course pictures

 

Graph Theory Algorithms for Competitive Programming

Installation guide

After Extract, watch with your favorite Player.

English subtitle

Quality: 720p

download link

Download Part 1 – 2 GB
Download Part 2 – 2 GB
Download Section 3 – 2 GB
Download section 4 – 2 GB
Download Section 5 – 432 MB
file password link
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