travelling salesman problem | travelling salesman problem using dynamic programming | greedy algo

travelling salesman problem | travelling salesman problem using dynamic programming | greedy algo
Notes:-
drive.google.c...
Part-1:-
• greedy algorithm | des...
About :-
The Traveling Salesman Problem is a classic optimization problem that has fascinated mathematicians, computer scientists, and engineers for decades. In its simplest form, the problem involves finding the shortest possible route that a salesman can take to visit a set of cities and return to the starting point. While this may sound like a straightforward task, as the number of cities increases, the problem quickly becomes incredibly complex, and finding the optimal solution becomes increasingly difficult.
Our RUclips channel offers a comprehensive exploration of the Traveling Salesman Problem, delving into its history, significance, and the various approaches and techniques used to solve it. Our videos cover a wide range of topics, from the basics of the problem and the various algorithms used to solve it, to more advanced concepts like heuristics, metaheuristics, and approximation algorithms.
One of the most popular algorithms used to solve the Traveling Salesman Problem is the Greedy Method. Our videos explain how this approach works and explore its strengths and weaknesses. We also examine other popular algorithms like the 2-opt and 3-opt algorithms, as well as more advanced techniques like genetic algorithms and ant colony optimization.
Our videos are designed to be engaging and accessible, with clear explanations and helpful visual aids that make it easy to understand even the most complex concepts. Whether you're a student, a professional, or simply someone who loves math and computer science, our channel is the perfect place to learn about the Traveling Salesman Problem and the fascinating world of optimization.
So why wait? Subscribe to our channel today and join us on a journey of discovery as we explore the Traveling Salesman Problem and the many approaches and techniques used to solve it.
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[@mysticmuskan3529]

Very easy explanation. Understood everything

[@Aafiyahkhann]

thank you so much mam you saved my 8 marks...😇

[@prachityagi4779]

It is helping me very much in last moment preparation
Great video👍

[@ProgrammersBond]

That's what we want thanks for your feedback ❤️

[@akshatkumarsharma1084]

Badiya consistency bnaye rakh chhote bhai .❤ . Sysssstummm

[@ProgrammersBond]

Thnku bade bhai❤️

[@katrikeyamaurya1076]

According to graph H4 ---> H5 is 2....not 7

[@ManishKishore-y5b]

is this (tsp for dynamic ) also for greedy
or ki greedy ke liye alag se hota hai

[@ManishKishore-y5b]

behen jaldi answer dene ki kosis krna

[@priyanshushrivastav8600]

Waitng for part-3😢

[@PreetiDailyVlogs...]

Hey. Don't confuse students. This is the greedy approach. Dynamic programming will be solved by the formula.

[@asvisuals7318]

But isme to dynamic approach apply hi nhi kra ... Greedy method h ye bss ..😊

[@thinktank4070]

Where is the notes??

[@AmazeHUBB]

23 is the answer

[@creative_0900]

Ye toh greedy method hai

[@rupakboral7515]

kindly remove the bg music