- Course Highlights
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.

- Learning outcome
- 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
- Get help from our expert tutors anytime you need
- Access to course contents that are designed and prepared by industry professionals
- Study at your convenient time and from wherever you want

- Requirements
- No formal qualifications required, anyone from any academic background can take this course.
- Access to any internet-enabled smart device.
- Why should I take this course?
- 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.
- You will be able to incorporate various practical sales techniques successfully and understand your customers better.
Course Curriculum
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Promo
00:03:00
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Introduction
00:14:00
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Common Problem
00:10:00
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Depth First Search
00:11:00
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Breadth First Search
00:08:00
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Breadth First Search Shortest Path on a Grid
00:17:00
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Storage and Representation of Trees
00:10:00
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Beginner Tree Algorithms
00:10:00
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Rooting Tree
00:05:00
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Center(s) of a Tree
00:06:00
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Isomorphisms in Trees
00:11:00
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Isomorphisms in Trees Source Code
00:10:00
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Lowest Common Ancestor
00:17:00
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Topological Sort
00:14:00
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Shortest and Longest Paths on DAGs
00:10:00
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Khan’s Algorithm
00:14:00
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Dijkstra’s Shortest Path Algorithm
00:25:00
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Dijkstra’s Shortest Path Algorithm Source Code
00:09:00
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Bellman-Ford Algorithm
00:15:00
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Floyd-Warshall Algorithm
00:16:00
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Floyd-Warshall Algorithm Source Code
00:10:00
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Algorithm to Find Bridges and Articulation Points
00:20:00
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Algorithm to Find Bridges and Articulation Points Source Code
00:10:00
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Tarjan’s Algorithm for Finding Strongly Connected Components
00:17:00
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Tarjan’s Algorithm for Finding Strongly Connected Components Source Code
00:07:00
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Travelling Salesman Problem (TSP) with Dynamic Programming
00:21:00
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Travelling Salesman Problem (TSP) with Dynamic Programming Source Code
00:14:00
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Existence of Eulerian Paths and Circuit
00:10:00
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Finding Eulerian Paths and Circuits
00:16:00
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Eulerian Paths Source Code
00:08:00
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Prim’s Minimum Spanning Tree Algorithm (Lazy Version)
00:15:00
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Prim’s Minimum Spanning Tree Algorithm ( Eager Version)
00:15:00
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Prim’s Minimum Spanning Tree Algorithm Source Code ( Eager Version)
00:09:00
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Max Flow Ford-Fulkerson Method
00:13:00
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Max Flow Ford-Fulkerson Method Source Code
00:18:00
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Network Flow: Unweighted Bipartite Graph Matching
00:11:00
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Network Flow: Mice and Owls
00:08:00
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Network Flow: Elementary Math
00:11:00
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Network Flow: Edmond-Karp Algorithm
00:06:00
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Network Flow: Edmond-Karp Algorithm Source Code
00:10:00
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Network Flow: Capacity Scaling
00:10:00
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Network Flow: Capacity Scaling Source Code
00:07:00
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Network Flow: Dinic’s Algorithm
00:13:00
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Network Flow: Dinic’s Algorithm Source Code
00:09:00
14-Day Money-Back Guarantee
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Duration:8 hours, 43 minutes
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Access:1 Year
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Units:44


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