Combinatorial optimization | Graph algorithms | Hamiltonian paths and cycles
The Bottleneck traveling salesman problem (bottleneck TSP) is a problem in discrete or combinatorial optimization. The problem is to find the Hamiltonian cycle (visiting each node exactly once) in a weighted graph which minimizes the weight of the highest-weight edge of the cycle. It was first formulated by with some additional constraints, and in its full generality by . (Wikipedia).
The Travelling Salesman (1 of 3: Understanding the Problem)
More resources available at www.misterwootube.com
From playlist Exploring Mathematics: Fractals
AQA Decision 1 8.01 The Travelling Salesperson Problem: An Introduction
I introduce the concept of the Travelling Salesperson problem and how we are going to go about attempting to solve it.
From playlist [OLD SPEC] TEACHING AQA DECISION 1 (D1)
From playlist M. Graph Theory
MA 15: Traveling salesman problem brute force & sorted edges
This video is for my Spring 2020 section of MA 15, for the class meeting on Tuesday April 21. Fast forward music is from "Now Get Busy" by the Beastie Boys, licensed Creative Commons Noncommercial Sampling Plus.
From playlist Math 15 Spring 2020
Stefan Hougardy: The Approximation Ratio of the k-Opt Heuristic for Euclidean TSP
The k-Opt heuristic is a simple improvement heuristic for the Traveling Salesman Problem. It starts with an arbitrary tour and then repeatedly replaces k edges of the tour by k other edges, as long as this yields a shorter tour. We will prove that for 2-dimensional Euclidean Traveling Sale
From playlist Workshop: Approximation and Relaxation
Travelling salesperson problem (Decision Maths 1)
Powered by https://www.numerise.com/ Travelling salesperson problem (Decision Maths 1). A video showing how to calculate an upper bound and lower bound as well as the nearest neighbour solution. Finally I finish off by showing how to use the tour improvement algorithm to attempt to find
From playlist Decision Maths 1 OCR Exam Board (A-Level tutorials)
Coding Challenge #35.1: Traveling Salesperson
In Part 1 of this multi-part Coding Challenge, I introduce the classic computer science Traveling Salesperson problem ("traveling salesman" (sic) for search) and discuss the pitfalls with a brute force solution. 💻Challenge Webpage: https://thecodingtrain.com/CodingChallenges/035.1-tsp.ht
From playlist Session 1 - Algorithms and Graphs - Intelligence and Learning
Lecture 23 - Introduction to NP-Completeness
This is Lecture 23 of the CSE373 (Analysis of Algorithms) course taught by Professor Steven Skiena [http://www3.cs.stonybrook.edu/~skiena/] at Stony Brook University in 2016. The lecture slides are available at: https://www.cs.stonybrook.edu/~skiena/373/newlectures/lecture19.pdf More inf
From playlist CSE373 - Analysis of Algorithms 2016 SBU
Algorithms Course - Graph Theory Tutorial from a Google Engineer
This full course provides a complete introduction to Graph Theory algorithms in computer science. Knowledge of how to create and design excellent algorithms is an essential skill required in becoming a great programmer. You will learn how many important algorithms work. The algorithms are
From playlist Computer Science Concepts
Overview of algorithms in Graph Theory
An overview of the computer science algorithms in Graph Theory Support me by purchasing the full graph theory course on Udemy which includes additional problems, exercises and quizzes not available on YouTube: https://www.udemy.com/course/graph-theory-algorithms Previous video (intro): h
From playlist Graph Theory Playlist
The Traveling Salesman Problem: When Good Enough Beats Perfect
Use the code "reducible" to get CuriosityStream for less than $15 a year! https://curiositystream.com/reducible The Traveling Salesman Problem (TSP) is one of the most notorious problems in all of computer science. In this video, we dive into why the problem presents such a challenge for
From playlist Graph Theory
AQA Decision 1 8.03 The Travelling Salesperson Problem: An example of a Hamiltonian Cycle / Tour
By inspection, I find a Hamiltonian cycle that may or may not be improved upon as a solution for the Travelling Salesperson Problem
From playlist [OLD SPEC] TEACHING AQA DECISION 1 (D1)
What do colors and galaxies have in common? [Research]
Broadcasted live on Twitch -- Watch live at https://www.twitch.tv/leioslabs
From playlist research
Lecture 19 - Graph Theoretic-Clustering
This is Lecture 19 of the CSE549 (Computational Biology) course taught by Professor Steven Skiena [http://www.cs.sunysb.edu/~skiena/] at Stony Brook University in 2010. The lecture slides are available at: http://www.algorithm.cs.sunysb.edu/computationalbiology/pdf/lecture19.pdf More inf
From playlist CSE549 - Computational Biology - 2010 SBU
AI-Augmented Autonomy for Space Robots - Ravi Lanka - 10/25/2019
AI-4-Science Workshop, October 25, 2019 at Bechtel Residence Dining Hall, Caltech. Learn more about: - AI-4-science: https://www.ist.caltech.edu/ai4science/ - Events: https://www.ist.caltech.edu/events/ Produced in association with Caltech Academic Media Technologies. ©2019 California I
From playlist AI-4-Science Workshop
Traveling Salesman Problem | Dynamic Programming | Graph Theory
Solving the traveling salesman problem using dynamic programming Related Videos: TSP intro: https://www.youtube.com/watch?v=cY4HiiFHO1o TSP code video: https://www.youtube.com/watch?v=udEe7Cv3DqU Source code: https://github.com/williamfiset/algorithms#graph-theory Powerset backtracking
From playlist Graph Theory Playlist
Coding Challenge #35.3: Traveling Salesperson with Lexicographic Order
In Part 3 of the Traveling Salesperson Coding Challenge, I take the lexicographic ordering algorithm and apply it to a brute-force solution of the Traveling Salesperson problem. Every single route permutation is checked one by one. 💻Challenge Webpage: https://thecodingtrain.com/CodingChal
From playlist Session 1 - Algorithms and Graphs - Intelligence and Learning