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 spanning trees
  • Learn about strongly connected components
  • 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.
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