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Graph Theory Algorithms - Basics

Highlights
Curriculum
Testimonial

Gain the skills and credentials to kickstart a successful career and learn from the experts with this step-by-step training course. This Graph Theory Algorithms – Basics has been specially designed to help learners gain a good command of Graph Theory Algorithms – Basics, providing them with a solid foundation of knowledge to become a qualified professional.

Through this Graph Theory Algorithms – Basics, you will gain both practical and theoretical understanding of Graph Theory Algorithms – Basics that will increase your employability in this field, help you stand out from the competition and boost your earning potential in no time.

Not only that, but this training includes up-to-date knowledge and techniques that will ensure you have the most in-demand skills to rise to the top of the industry. This qualification is fully accredited, broken down into several manageable modules, ideal for aspiring professionals.

Get a deep understanding of the Graph Theory Algorithms - Basics just in hours not years
Familiar yourself with the recent development and updates of the relevant industry
Know how to use your theoretical and practical knowledge to adapt in any working environment
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Access to course contents that are designed and prepared by industry professionals
Study at your convenient time and from wherever you want

8+ hours of on-demand video lectures and downloadable resources.
Affordable premium-quality E-learning content, you can learn at your own pace.
You will receive a completion certificate upon completing the course.
Internationally recognized Accredited Qualification will boost up your resume.
You will learn the researched and proven approach adopted by successful salespeople to transform their careers.
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Course Curriculum

Module 01: Promo
	Promo	00:03:00
Module 02 : Introduction
	Introduction	00:14:00
Module 03 : Common Problem
	Common Problem	00:10:00
Module 04 : Depth First Search
	Depth First Search	00:11:00
Module 05 : Breadth First Search
	Breadth First Search	00:08:00
Module 06 : Breadth First Search Shortest Path on a Grid
	Breadth First Search Shortest Path on a Grid	00:17:00
Module 07 : Trees
	Storage and Representation of Trees	00:10:00
	Beginner Tree Algorithms	00:10:00
	Rooting Tree	00:05:00
	Center(s) of a Tree	00:06:00
	Isomorphisms in Trees	00:11:00
	Isomorphisms in Trees Source Code	00:10:00
	Lowest Common Ancestor	00:17:00
Module 08 : Topological Sort
	Topological Sort	00:14:00
	Shortest and Longest Paths on DAGs	00:10:00
	Khan’s Algorithm	00:14:00
Module 09 : Dijkstra
	Dijkstra’s Shortest Path Algorithm	00:25:00
	Dijkstra’s Shortest Path Algorithm Source Code	00:09:00
Module 10 : Bellman-Ford Algorithm
	Bellman-Ford Algorithm	00:15:00
Module 11 : Floyd-Warshall Algorithm
	Floyd-Warshall Algorithm	00:16:00
	Floyd-Warshall Algorithm Source Code	00:10:00
Module 12 : Bridge and Algorithm Points
	Algorithm to Find Bridges and Articulation Points	00:20:00
	Algorithm to Find Bridges and Articulation Points Source Code	00:10:00
Module 13 : Tarjan Algorithm
	Tarjan’s Algorithm for Finding Strongly Connected Components	00:17:00
	Tarjan’s Algorithm for Finding Strongly Connected Components Source Code	00:07:00
Module 14 : Travelling Salesman Problem (TSP)
	Travelling Salesman Problem (TSP) with Dynamic Programming	00:21:00
	Travelling Salesman Problem (TSP) with Dynamic Programming Source Code	00:14:00
Module 15 : Eulerian Paths and Circuits
	Existence of Eulerian Paths and Circuit	00:10:00
	Finding Eulerian Paths and Circuits	00:16:00
	Eulerian Paths Source Code	00:08:00
Module 16 : Prim’s Minimum Spanning Tree Algorithm
	Prim’s Minimum Spanning Tree Algorithm (Lazy Version)	00:15:00
	Prim’s Minimum Spanning Tree Algorithm ( Eager Version)	00:15:00
	Prim’s Minimum Spanning Tree Algorithm Source Code ( Eager Version)	00:09:00
Module 17 : Network Flow
	Max Flow Ford-Fulkerson Method	00:13:00
	Max Flow Ford-Fulkerson Method Source Code	00:18:00
	Network Flow: Unweighted Bipartite Graph Matching	00:11:00
	Network Flow: Mice and Owls	00:08:00
	Network Flow: Elementary Math	00:11:00
	Network Flow: Edmond-Karp Algorithm	00:06:00
	Network Flow: Edmond-Karp Algorithm Source Code	00:10:00
	Network Flow: Capacity Scaling	00:10:00
	Network Flow: Capacity Scaling Source Code	00:07:00
	Network Flow: Dinic’s Algorithm	00:13:00
	Network Flow: Dinic’s Algorithm Source Code	00:09:00

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