Algorithmic Problems in Python - UUDDEEMMYY

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Added on November 24, 2015 by viru338in Other > Tutorials
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Algorithmic Problems in Python - UUDDEEMMYY (Size: 623.71 MB)

		001 Introduction.mp4	3.87 MB
		002 Complexity theory introduction.jpeg	205.96 KB
		002 Complexity theory introduction.mp4	56.22 MB
		001 Backtracking introduction.mp4	13.74 MB
		002 N-queens problem introduction.mp4	23.87 MB
		003 N-queens problem implementation.mp4	15.46 MB
		004 Hamiltonian cycle introduction.mp4	46.63 MB
		005 Hamiltonian problem - NP-hard problems.mp4	19.56 MB
		006 Hamiltonian cycle implementation.mp4	29.42 MB
		007 Coloring problem introduction.mp4	42.08 MB
		008 Coloring problem implementation.mp4	27.46 MB
		009 Knight tour introduction.mp4	12.27 MB
		010 Knight tour implementation.mp4	10.36 MB
		001 Dynamic programming introduction.mp4	10.59 MB
		002 Fibonacci numbers introduction.mp4	17.16 MB
		003 Fibonacci numbers implementation.mp4	15.37 MB
		004 Coin change problem introduction.mp4	53.13 MB
		005 Coin change problem implementation.mp4	20.24 MB
		006 Rod cutting problem introduction.mp4	48.59 MB
		007 Rod cutting problem implementation.mp4	12.77 MB
		008 Knapsack problem introduction.mp4	28.89 MB
		009 Knapsack problem example.mp4	54.29 MB
		010 Knapsack problem implementation.mp4	29.36 MB
		001 Source code.html	1.21 KB

Description

Thanks to Rocky_4560.25K

Algorithmic Problems in Python

MP4 | Video: 1280x720 | 55 kbps | 44 KHz | Duration: 3 Hours | 623 MB
Genre: eLearning | Language: English

Learn the basic algorithmic methodologies from backtracking to dynamic programming

This course is about the fundamental concepts of algorithmic problems, focusing on backtracking and dynamic programming. As far as I am concerned these techniques are very important nowadays, algorithms can be used (and have several applications) in several fields from software engineering to investment banking or research&development.

In each section we will talk about the theoretical background for all of these algorithms then we are going to implement these problems together.

The first chapter is about backtracking: we will talk about problems such as N-queens problem or hamiltonian cycles and coloring problem. In the second chapter we will talk about dynamic programming, theory first then the concrete examples one by one: fibonacci sequence problem and knapsack problem.

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623.71 MB

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Algorithmic Problems in Python - UUDDEEMMYY