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Advanced Algorithms (Graph Algorithms) in Java

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

• Learn about the applications of data structures
• Learn about the fundamental basics of graphs and graph theory
• Implement advanced algorithms (graph algorithms) efficiently
• Learn graph traversing such as breadth-first search and depth-first search
• Learn about topological ordering and cycle detection
• Learn about shortest path algorithms (Dijkstra’s and Bellman-Ford algorithms)
• Learn about strongly connected components
• Learn about Hamiltonian cycles and Eulerian cycles

Section 1 – Graphs Theory Basics:

• what is a G(V,E) graph

Section 2 – Graph Traversal (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 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.
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