2-07-2021, 16:08 | view 👀:73 | 🙍 oneddl | redaktor: Delcan | Rating👍:

Graph Theory Algorithms for Competitive Programming (2021)

Name: Graph Theory Algorithms for Competitive Programming (2021)
Author: Delcan

Learn Graphs Algorithms in Computer Science & Mathematics, theory + hands-on coding and ace Competitive Coding problems! What you'll learn:
Graph Basics, Applications
BFS, DFS, Connected Components
Shortest Paths - Dijkstra, Bellman, Floyd Warshall
Travelling Salesman Problem - DP with Bitmasks
Topological Ordering, Strongly Connected Components
Disjoint Set Union, Minimum Spanning Trees, Prim's & Kruskal
Advanced Graphs, Euler Tour, Trees
Network Flow, LCA, Articulation Points
Graphs for Competitive Programming
80 + Competitive Coding Questions

Requirements
Familiarity with basic data structures
Ability to write / understand code
Prior experience in problem solving

Description
Welcome to Graph Algorithms for Competitive Coding - the most detailed Specialisation in Graph Theory for Competitive Programmers, Software Engineers & Computer Science students!

Graphs is quite an important topic for software engineers, both for academics & online competitions and for solving real life challenges. Graph algorithms form the very fundamentals of many popular applications like - Google Maps, social media apps like Facebook, Instagram, Quora, LinkedIn, Computer Vision applications such as image segmentation, resolving dependencies while compile time, vehicle routing problems in supply chain and many more. This course provides a detailed overview of Graph Theory algorithms in computer science, along with hands on implementation of all the algorithms in C++. Not just that you will get 80+ competitive coding questions, to practice & test your skills!

This comprehensive course is taught by Prateek Narang & Apaar Kamal, who are Software Engineers at Google and have taught over thousands of students in competitive programming over last 5+ years. This course is worth thousands of dollars, but Coding Minutes is providing you this course to you at a fraction of its original cost! This is action oriented course, we not just delve into theory but focus on the practical aspects by building implementing algorithms & solving problems. With over 95+ high quality video lectures, easy to understand explanations this is one of the most detailed and robust course for Graph Algorithms ever created.

Course starts very basics with how to store and represent graphs on a computer, and then dives into popular algorithms & techniques for problem solving. The course is divided into two parts.

Part-I Graph Theory Essentials

Graph Representations

Popular Traversals - BFS & DFS

Cycle Detection - Weighted & Unweighted Graphs

Topological Ordering & Directed Acyclic Graphs

Disjoint Set Union, Path Compression & Union by Rank

Minimum Spanning Trees - Prim's & Kruskal's

Shortest Paths - BFS, Dijkstra's, Bellman Ford, Floyd Warshall

Travelling Salesman Problem, Min Cost Hamiltonian Cycle

Part-II Graph Theory Advanced

Flood Fill

Multisource BFS

DFS & Backedges

SCC's & Kosaraju's Algorithm

Euler Tour

LCA

Trees

Articulation Points & Bridges

Network Flow

The part-II is recommended for programmers who want to deep dive into Competitive Programming & take part in contests. For most students part-I is good enough to understand the most fundamental concepts and techniques in graphs!

Our special thanks to our problem setters, Siddharth Singhal & Rajdeep from Delhi Technological University, who helped us crafting the complete problem-set for this course.

So what you are waiting for ? Sign up today & start your deep-dive into graph theory!

Who this course is for
Intermediate-Advanced Programmers with basic coding experience
College/ University students pursuing Computer Science or related fields
Passionate programmers who want deep dive into Graph Theory
Competitive Programmers who want to excel in online coding competitions

PLEASE SUPPORT ME BY CLICK ONE OF MY LINKS IF YOU WANT BUYING OR EXTENDING YOUR ACCOUNT


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Graph Theory Algorithms for Competitive Programming (2021)

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