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Udemy – Advanced Algorithms in Java

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Udemy – Advanced Algorithms in Java

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Description

Udemy – Advanced Algorithms in Java

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What you’ll learn

  • Learn about the applications of data structures
  • Implement advanced algorithms efficiently
  • Able to move towards advanced topics such as machine learning or big data analysis
  • Get a good grasp of algorithmic thinking
  • Get to know graph algorithms: BFS, DFS, shortest paths and spanning trees

Requirements

  • Core Java
  • Eclipse IDE
  • Internet connection
  • Basic knowledge of data structures

Description

This course is about advanced algorithms focusing on graph traversal, shortest path problems, spanning trees and maximum flow problems and a lots of its applications from Google Web Crawler to taking advantage of stock market arbitrage situations.

Section 1:

  • the basic graph traversal algorithm
  • breadth-first search algorithm
  • depth-first search algorithm

Section 2:

  • shortest path algorithms
  • Dijkstra’s algorithm
  • Bellman-Ford algorithm

Section 3:

  • what are spanning trees
  • union find data structures
  • Kruskal’s algorithm
  • Prim’s algorithm

Section 4:

  • what are strongly connected components
  • Kosaraju algorithm
  • Tarjan algorithm

Section 5:

  • the famous maximum flow problem
  • how to reduce most of the hard problems to maximum flow problem
  • Ford-Fulkerson algorithm
  • bipartite matching problem

Section 4:

  • travelling salesman problem (TSP)
  • how to deal with NP-hard problems
  • using meta-heuristics: tabu search and simulated annealing

You should definitely take this course if you are interested in advanced topics concerning algorithms. There are a bunch of fields where these methods can be used: from software engineering to scientific research.

Thanks for joining the course, let’s get started!

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

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