We’ll implement (in Python) together efficient programs for a problem needed by delivery companies all over the world millions times per day — the travelling salesman problem. The goal in this problem is to visit all the given places as quickly as possible. How to find an optimal solution to this problem quickly? We still don’t have provably efficient algorithms for this difficult computational problem and this is the essence of the P versus NP problem, the most important open question in Computer Science. Still, we’ll implement several solutions for real world instances of the travelling salesman problem. While designing these solutions, we will rely heavily on the material learned in the courses of the specialization: proof techniques, combinatorics, probability, graph theory. We’ll see several examples of using discrete mathematics ideas to get more and more efficient solutions....

par AS

•Jul 25, 2018

This final course in 5 course specialization is relatively easy one, although the last problem takes little bit time to solve. Provides good introduction to difficult to learn Delivery problem.

par ES

•Jun 19, 2018

perfect course! very easy and interesting to follow. Pseudo-Algorithms were very useful and helped a lot to understand the concepts.

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8 avis

par lcy9086

•Feb 03, 2019

Very Nice Course, Have fun!

par Aviral K

•Oct 27, 2018

Really liked the course; the python code in challenges is so well commented that it helped me learn a lot of math and code. Really appreciate the challenges and visual explanation he does by drawing graphs; specially in branch and bound. Could have made video instruction a little more friendly to people with low intuitive mathematical knowledge. Left a lot of gaps to be filled by self learning efforts through Google etc; as each video had a line or two that weren't explained up to the mark. I do take a lot of online courses on Udemy and I do love learning by myself and facing challenges; however I also really like when course instructors provide me clear and rock solid fundamental knowledge.

par Ashish Dattatray Sarode

•Jul 25, 2018

This final course in 5 course specialization is relatively easy one, although the last problem takes little bit time to solve. Provides good introduction to difficult to learn Delivery problem.

par Pedro Manuel Herrero Vidal

•Jul 07, 2018

Great way to end a really detailed and engaging specialization that introduces anyone with a minimum background in Python to Algorithms.

par Ehsan Sadeghi

•Jun 19, 2018

perfect course! very easy and interesting to follow. Pseudo-Algorithms were very useful and helped a lot to understand the concepts.

par Konstantin Kasachev

•Dec 25, 2017

Good exercises!

par Michael Lachmayr

•Dec 23, 2017

I really enjoyed this course.

par Steven Watson

•Dec 22, 2017

This is a nice way to end the course and, seaways nicely into studying algorithms in general.

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