IT & Software [udemy.com] Advanced Algorithms (Graph Algorithms) in Java

tttx · 2 Янв 2021

What you'll learn

Learn about the fundamental basics of graphs and graph theory
Implement advanced algorithms (graph 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
Learn about the applications of data structures

Requirements

Eclipse IDE
Internet connection
Basic knowledge of data structures
Core Java

Desсription

This course is about advanced algorithms (graph 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 6:

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

Section 7:

eulerian paths and eulerian cycles
Hierholzer algorithm and the Chinese Postman Problem

The course is going to take approximately 10 hours to completely but I highly suggest you typing these algorithms out several times in order to get a good grasp of it. You can download the source code of the whole course at the last lecture.

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