Spanning tree | Distributed algorithms
The distributed minimum spanning tree (MST) problem involves the construction of a minimum spanning tree by a distributed algorithm, in a network where nodes communicate by message passing. It is radically different from the classical sequential problem, although the most basic approach resembles Borůvka's algorithm. One important application of this problem is to find a tree that can be used for broadcasting. In particular, if the cost for a message to pass through an edge in a graph is significant, an MST can minimize the total cost for a source process to communicate with all the other processes in the network. The problem was first suggested and solved in time in 1983 by Gallager et al., where is the number of vertices in the graph. Later, the solution was improved to and finally where D is the network, or graph diameter. A lower bound on the time complexity of the solution has been eventually shown to be (Wikipedia).
Minimum Spanning Tree In Data Structure | What Is Spanning Tree? | Data Structures|Simplilearn
This video is based on minimum Spanning Trees in Data structures. This Spanning Tree Tutorial will acquaint you with the fundamentals of spanning trees and their importance. It also covers the methodology to generate spanning trees from a given graph. The topics covered in this video are:
From playlist Data Structures & Algorithms [2022 Updated]
From playlist M. Graph Theory
Prim's Algorithm for Minimum Spanning Trees (MST) | Graph Theory
We go over Prim's Algorithm, and how it works to find minimum spanning trees (also called minimum weight spanning trees or minimum cost spanning trees). We'll also see two examples of using Prim's algorithm to find minimum spanning trees in connected weighted graphs. This algorithm is on
From playlist Graph Theory
Kruskal's Algorithm for Minimum Spanning Trees (MST) | Graph Theory
We go over Kruskal's Algorithm, and how it works to find minimum spanning trees (also called minimum weight spanning trees or minimum cost spanning trees). We'll also see two examples of using Kruskal's algorithm to find minimum spanning trees in connected weighted graphs. This algorithm
From playlist Graph Theory
AQA Decision 1 4.01a Introducing Minimum Spanning Trees and Kruskal's Algorithm
I introduce the concept of finding a minimum spanning tree for a network by working through an example of Kruskal's Algorithm.
From playlist [OLD SPEC] TEACHING AQA DECISION 1 (D1)
Prim's Minimum Spanning Tree Algorithm | Graph Theory
Prim's Minimum Spanning Tree Algorithm 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 Algorithms repository: https://github.com/william
From playlist Graph Theory Playlist
OCR MEI MwA E: Minimum Spanning Trees: 01 Introduction & Greedy Algorithms
https://www.buymeacoffee.com/TLMaths Navigate all of my videos at https://sites.google.com/site/tlmaths314/ Like my Facebook Page: https://www.facebook.com/TLMaths-1943955188961592/ to keep updated Follow me on Instagram here: https://www.instagram.com/tlmaths/ Many, MANY thanks to Dea
From playlist TEACHING OCR MEI Modelling with Algorithms
Kruskal's Algorithm (Decision Maths 1)
Powered by https://www.numerise.com/ Kruskal's Algorithm for finding the minimum spanning tree of a network www.hegartymaths.com http://www.hegartymaths.com/
From playlist Decision Maths 1 OCR Exam Board (A-Level tutorials)
Nathan Klein: A (Slightly) Improved Approximation Algorithm for Metric TSP
I will describe work in which we obtain a randomized 3/2 − e approximation algorithm for metric TSP, for some e greater than 10^−36. This slightly improves over the classical 3/2 approximation algorithm due to Christodes [1976] and Serdyukov [1978]. Following the approach of Oveis Gharan,
From playlist Workshop: Approximation and Relaxation
Le Song: "A Framework For Differentiable Discovery Of Graph Algorithms"
Deep Learning and Combinatorial Optimization 2021 "A Framework For Differentiable Discovery Of Graph Algorithms" Le Song - Georgia Institute of Technology Abstract: Recently there is a surge of interests in using graph neural networks (GNNs) to learn algorithms. However, these works focu
From playlist Deep Learning and Combinatorial Optimization 2021
Christina Goldschmidt: Scaling limits of random trees and graphs - Lecture 2
HYBRID EVENT In the last 30 years, random combinatorial structures and their scaling limits have formed a flourishing area of research at the interface between probability and combinatorics. In this mini-course, I aim to show some of the beautiful theory that arises when considering scalin
From playlist Probability and Statistics
Data Structure Full Course 2023 - Part 2 | Data Structures and Algorithms for Beginners |Simplilearn
🔥Post Graduate Program In Full Stack Web Development: https://www.simplilearn.com/pgp-full-stack-web-development-certification-training-course?utm_campaign=5April2023DataStructureFullCourse2023&utm_medium=Descriptionff&utm_source=youtube 🔥Caltech Coding Bootcamp (US Only): http
From playlist Data Structures & Algorithms [2022 Updated]
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
Nexus Trimester - Boaz Patt-Shamir (Tel Aviv University)
Randomized proof-labeling schemes Boaz Patt-Shamir (Tel Aviv University) February 12, 2016
From playlist Nexus Trimester - 2016 - Distributed Computation and Communication Theme
🔥Software Development Course Day 2 | Data Structures & Algorithms | Software Developer |Simplilearn
🔥Post Graduate Program In Full Stack Web Development: https://www.simplilearn.com/pgp-full-stack-web-development-certification-training-course?utm_campaign=SoftDevCourse28March2023&utm_medium=DescriptionFirstFold&utm_source=youtube 🔥Caltech Coding Bootcamp (US Only): https://www.simplilear
From playlist Simplilearn Live
🔥Data Structures and Algorithms Full Course 2 | Data Structures Tutorial in C and C++ | Simplilearn
🔥Explore our FREE Courses with Completion Certificates: https://www.simplilearn.com/skillup-free-online-courses?utm_campaign=DataStructures2FCSEP23&utm_medium=DescriptionFirstFold&utm_source=youtube This video on Data Structures and Algorithms Full Course Part - 2 will help you learn ever
From playlist Simplilearn Live
Software Development Course Day - 2 | Data Structures & Algorithms | Software Developer |Simplilearn
🔥Explore our FREE Courses with Completion Certificates: https://www.simplilearn.com/skillup-free-online-courses?utm_campaign=SoftDevCourseOct12&utm_medium=DescriptionFirstFold&utm_source=youtube This software development course is a series of live sessions where we will understand in-depth
From playlist Simplilearn Live
Kruskals Algorithm | Kruskals Algorithm For Minimum Spanning Trees | Data Structures | Simplilearn
Don't forget to participate in challenging activity at --:-- This video on Kruskal Algorithm will acquaint you with the theoretical explanation and complete drive-through example for constructing a minimum spanning tree for given graph. This data structure tutorial will acquaint you with c
From playlist Data Structures & Algorithms
Networks - Minimal spanning tree
In this lesson on Networks you learn how to draw a minimal spanning tree for a network This topic is taught in Queensland Maths A, Year 11 or Year 12.
From playlist Maths A / General Course, Grade 11/12, High School, Queensland, Australia