Advanced Algorithms (Graph Algorithms) in Java Course includes 11 hrs video content and enrolled by 13K+ students and received a 4.6 average review out of 5. Now, you will get 94%OFF on the original price of the course and discount price differs from country to country, and the course provider offers 30-days money-back guarantee! If you are not satisfied in any way, you’ll get your money back.
What you’ll learn
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Learn about the applications of data structures
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Learn about the fundamental basics of graphs and graph theory
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Implement advanced algorithms (graph algorithms) efficiently
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Learn graph traversing such as breadth-first search and depth-first search
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Learn about topological ordering and cycle detection
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Learn about shortest path algorithms (Dijkstra’s and Bellman-Ford algorithms)
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Learn about spanning trees
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Learn about strongly connected components
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Learn about Hamiltonian cycles and Eulerian cycles
Section 1 – Graphs Theory Basics:
- what is a G(V,E) graph
- adjacency matrix representation
- adjacency list representation
Section 2 – Graph Traversal (Breadth-First Search)
- what is breadth-first search?
- how to use BFS for WebCrawling in search engines?
Section 3 – Graph Traversal (Depth-First Search)
- what is depth-first search?
- how to use recursion to implement DFS
- applications of DFS such as topological ordering and cycle detection
Section 4 – Dijkstra’s Shortest Path Algorithm
- what is a shortest path in a G(V,E) graph
- Dijkstra’s shortest path algorithm
Section 5 – Bellman-Ford Shortest Path Algorithm
- Bellman-Ford algorithm
Section 6: – Spanning Trees (Kruskal and Prim’s Algorithms)
- what are spanning trees
- union find data structures
- Kruskal’s algorithm
- Prim’s algorithm
Section 7 – Strongly Connected Components (SCCs)
- what are strongly connected components
- Kosaraju’s algorithm
- Tarjan’s algorithm
Section 8 – Maximum Flow Problem
- the famous maximum flow problem
- how to reduce most of the hard problems to maximum flow problem
- Ford-Fulkerson algorithm
- bipartite matching problem
Section 9 – Travelling Salesman Problem and Hamiltonian Cycles:
- travelling salesman problem (TSP)
- how to deal with NP-hard problems
- what are meta-heuristics
Section 10 – Eulerian Paths
- eulerian paths and eulerian cycles
- Hierholzer algorithm and the Chinese Postman Problem
Who this course is for:
- This course is meant for everyone from scientists to software developers who want to get closer to algorithmic thinking in the main
Can I download Advanced Algorithms (Graph Algorithms) in Java course?
You can download videos for offline viewing in the Android/iOS app. When course instructors enable the downloading feature for lectures of the course, then it can be downloaded for offline viewing on a desktop.Can I get a certificate after completing the course?
Yes, upon successful completion of the course, learners will get the course e-Certification from the course provider. The Advanced Algorithms (Graph Algorithms) in Java course certification is a proof that you completed and passed the course. You can download it, attach it to your resume, share it through social media.Are there any other coupons available for this course?
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