In graph theory, a mixed graph G = (V, E, A) is a graph consisting of a set of vertices V, a set of (undirected) edges E, and a set of directed edges (or arcs) A. (Wikipedia).
What are Connected Graphs? | Graph Theory
What is a connected graph in graph theory? That is the subject of today's math lesson! A connected graph is a graph in which every pair of vertices is connected, which means there exists a path in the graph with those vertices as endpoints. We can think of it this way: if, by traveling acr
From playlist Graph Theory
This math video tutorial provides a basic introduction into mixed numbers. A mixed number is the sum of a whole number and a fraction. This video explains how to convert mixed numbers to improper fractions and improper fractions to mixed numbers. Subscribe: https://www.youtube.com/chann
From playlist Fractions and Mixed Numbers
This math video tutorial explains how to divide a mixed number by another mixed number. Subscribe: https://www.youtube.com/channel/UCEWpbFLzoYGPfuWUMFPSaoA?sub_confirmation=1 Adding Mixed Numbers: https://www.youtube.com/watch?v=EvYgX0wz0xY Subtracting Mixed Numbers: https://www.youtube
From playlist Fractions and Mixed Numbers
This math video tutorial provides a basic introduction into adding mixed numbers. It explains how to add mixed numbers with whole numbers, fractions, and other mixed numbers. Subscribe: https://www.youtube.com/channel/UCEWpbFLzoYGPfuWUMFPSaoA?sub_confirmation=1 Adding Mixed Numbers With
From playlist Fractions and Mixed Numbers
Parallel Edges in Multigraphs and Digraphs | Graph Theory, Multiple Edges, Multisets
What are parallel edges, also called multiple edges or multi-edges, in graph theory? We'll introduce parallel edges in the context of undirected multi-graphs and in directed graphs in today's video graph theory lesson! Lesson on directed graphs: https://www.youtube.com/watch?v=mXoiHgH4mE
From playlist Graph Theory
From playlist 3d graphs
Mixed Numbers To Improper Fractions
This math video tutorial explains how to convert mixed numbers to improper fractions. Subscribe: https://www.youtube.com/channel/UCEWpbFLzoYGPfuWUMFPSaoA?sub_confirmation=1 Adding Mixed Numbers: https://www.youtube.com/watch?v=EvYgX0wz0xY Subtracting Mixed Numbers: https://www.youtube.c
From playlist Fractions and Mixed Numbers
Adding Mixed Numbers With Fractions
This math video tutorial provides a basic introduction into adding mixed numbers with fractions. Subscribe: https://www.youtube.com/channel/UCEWpbFLzoYGPfuWUMFPSaoA?sub_confirmation=1 Adding Mixed Numbers: https://www.youtube.com/watch?v=EvYgX0wz0xY Adding Mixed Numbers With Whole Numbe
From playlist Fractions and Mixed Numbers
Subtracting Mixed Numbers and Fractions
This math video tutorial explains how to subtract mixed numbers and fractions. Subscribe: https://www.youtube.com/channel/UCEWpbFLzoYGPfuWUMFPSaoA?sub_confirmation=1 Adding Mixed Numbers: https://www.youtube.com/watch?v=EvYgX0wz0xY Subtracting Mixed Numbers: https://www.youtube.com/watc
From playlist Fractions and Mixed Numbers
Chris Godsil: Problems with continuous quantum walks
Continuous quantum walks are of great interest in quantum computing and, over the last decade, my group has been studying this topic intensively. As graph theorists, one of our main goals has been to get a better understanding of the relation between the properties of a walk and the proper
From playlist Combinatorics
Regularized Functional Inequalities and Applications to Markov Chains by Pierre Youssef
PROGRAM: TOPICS IN HIGH DIMENSIONAL PROBABILITY ORGANIZERS: Anirban Basak (ICTS-TIFR, India) and Riddhipratim Basu (ICTS-TIFR, India) DATE & TIME: 02 January 2023 to 13 January 2023 VENUE: Ramanujan Lecture Hall This program will focus on several interconnected themes in modern probab
From playlist TOPICS IN HIGH DIMENSIONAL PROBABILITY
Spectral Independence in High-dimensional Expanders and Applications... - Kuikui Liu
Computer Science/Discrete Mathematics Seminar II Topic: Spectral Independence in High-dimensional Expanders and Applications to the Hardcore Model Speaker: Kuikui Liu Affiliation: University of Washington Date: February 27, 2020 For more video please visit http://video.ias.edu
From playlist Mathematics
Introduction to SNA. Lecture 6. Network structure and visualization
K-core decomposition of networks. Diads and triads. Edge reciprocity. Frequent subgraphs. Network motifs. Assortative mixing. Network visualization. Forde directed layouts. Adjacency matrix ordering. Lecture slides: http://www.leonidzhukov.net/hse/2015/sna/lectures/lecture6.pdf
From playlist Introduction to SNA
Ravi Kumar - Random Walks and Graph Properties
https://indico.math.cnrs.fr/event/3475/attachments/2180/2572/Kumar_GomaxSlides.pdf
From playlist Google matrix: fundamentals, applications and beyond
AMMI 2022 Course "Geometric Deep Learning" - Seminar 1 (Physics-based GNNs) - Francesco Di Giovanni
Video recording of the course "Geometric Deep Learning" taught in the African Master in Machine Intelligence in July 2022 Seminar 1 - Graph neural networks through the lens of multi-particle dynamics and gradient flows - Francesco Di Giovanni (Twitter) Slides: https://www.dropbox.com/s/
From playlist AMMI Geometric Deep Learning Course - Second Edition (2022)
Zero mean curvature surfaces in Euclidean and Lorentz-Minkowski....(Lecture 3) by Shoichi Fujimori
Discussion Meeting Discussion meeting on zero mean curvature surfaces (ONLINE) Organizers: C. S. Aravinda and Rukmini Dey Date: 07 July 2020 to 15 July 2020 Venue: Online Due to the ongoing COVID-19 pandemic, the original program has been canceled. However, the meeting will be conduc
From playlist Discussion Meeting on Zero Mean Curvature Surfaces (Online)
Graph of x^2 + y^2 + pxy as p varies
From playlist 3d graphs
Roberto Oliveira: Estimating graph parameters with random walks
Recording during the meeting "Spectra, Algorithms and Random Walks on Random Networks " the January 14, 2019 at the Centre International de Rencontres Mathématiques (Marseille, France) Filmmaker: Guillaume Hennenfent Find this video and other talks given by worldwide mathematicians on CIRM
From playlist Probability and Statistics