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Udemy - Game Theory Algorithms in Competitive Programming (2021)

Torrent: Udemy - Game Theory Algorithms in Competitive Programming (2021)
Description:

Game Theory Algorithms in Competitive Programming (2021)



MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 34 lectures (7h 6m) | Size: 4 GB
Dive deep into game theory algorithms, learn & apply these techniques for Codeforces & Competitive Programming problems!
What you'll learn:
Learn in-depth Game Theory Concepts
Learn to solve Competitive Programming Questions
Problems involving Nim Game, Sprague-Grundy Theorem
Combinatorial Games, Subtraction Games, Games as Graphs
Learn by solving Easy, Medium & Hard problems
Hands-on Coding for every Game Theory Challenge

Requirements
Programming fundamentals
Basic understanding of data structures
Familiar with any one programming language

Description
This hands-on course is designed for everyone to learn & implement Game Theory concepts to solve Competitive Programming Challenges. You will learn how approach Game Theory based questions involving - Nim Game, Sprague Grundy Theorem, Subtraction Games, Combinatorial Games, Graph Games, Take-away games! The course involves both breadth and depth of these topics with enough examples and hands-on coding for each problem.

Competitive programming or Sport Programming is a mind sport usually, involving participants trying to program according to provided specifications. Competitive programming is recognised and supported by several multinational software and Internet companies, such as Google and Facebook. Popular Competitive Programming platforms include Codeforces, Codechef, HackerEarth, HackerRank, Spoj and more! This course is designed for both beginners and advanced programmers looking forward to take the next leap in Competitive Programming!

Downloads: 129
Category: Other/Tutorials
Size: 4.2 GB
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Added: 2021-08-18 11:02:50
Language: English
Peers: Seeders : 13 , Leechers : 8
Release name: Udemy - Game Theory Algorithms in Competitive Programming (2021)
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