Centered tree

Introduction to Rooted Trees

This video introduces rooted trees and how to define the relationships among vertices in a rooted tree. mathispower4u.com

From playlist Graph Theory (Discrete Math)

Morphing Symmetric Binary Trees (visual calming for anxiety; bilateral stimulation)

A symmetric binary tree is obtained by applying certain affine linear transformations recursively to the leaves starting with a trunk of unit length. This video shows six different scale factors and morphs between various angles of rotation. The animation is set to Bilateral music to help

From playlist Fractals

Introduction to Spanning Trees

This video introduces spanning trees. mathispower4u.com

From playlist Graph Theory (Discrete Math)

Bilateral Stimulation with Binary Symmetric Trees (visual calming for anxiety)

This video shows ten different symmetric binary trees obtained by applying certain affine linear transformations recursively to the leaves starting with a trunk of unit length. The animation is set to Bilateral music to help some people feel calm while enjoying the beauty and wonder of the

From playlist Fractals

Morphing symmetric binary branching tree

A symmetric binary tree is obtained by applying certain affine linear transformations recursively to the leaves starting with a trunk of unit length. This video shows a scale factor given by the golden ratio (well, roughly 0.618) and morphs between various angles of rotation. To build yo

From playlist Fractals

Symmetric Binary Trees (visual construction)

In this video, we see how to change use two parameters (scale factor and angle of rotation) to create various symmetric binary trees. We show five different examples of such trees (up to level 13). Choose your own parameters and create your own! Check out these videos for related construc

From playlist Fractals

Data structures: Binary Tree

See complete series on data structures here: http://www.youtube.com/playlist?list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P In this lesson, we have discussed binary tree in detail. We have talked about different types of binary tree like "complete binary tree", "perfect binary tree" and "balance

From playlist Data structures

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

Section 9a Trees

Section 9a Trees

From playlist Graph Theory

Identifying Isomorphic Trees | Source Code | Graph Theory

Source code for identifying isomorphic trees Related videos: Tree Isomorphism video: https://youtu.be/OCKvEMF0Xac Tree center(s) video: https://youtu.be/Fa3VYhQPTOI Rooting a tree video: https://youtu.be/2FFq2_je7Lg Source code repository: https://github.com/williamfiset/algorithms#tree

From playlist Tree Algorithms

Identifying Isomorphic Trees | Graph Theory

Identifying and encoding isomorphic trees Algorithms repository: https://github.com/williamfiset/algorithms#tree-algorithms Video slides: https://github.com/williamfiset/Algorithms/tree/master/slides Video source code: https://github.com/williamfiset/Algorithms/tree/master/com/williamfi

From playlist Tree Algorithms

Adam Polak: Nearly-Tight and Oblivious Algorithms for Explainable Clustering

We study the problem of explainable clustering in the setting first formalized by Dasgupta, Frost, Moshkovitz, and Rashtchian (ICML 2020). A k-clustering is said to b e explainable if it is given by a decision tree where each internal no de splits data points with a threshold cut in a sing

From playlist Workshop: Approximation and Relaxation

Fibonacci = Pythagoras: Help save a beautiful discovery from oblivion

In 2007 a simple beautiful connection Pythagorean triples and the Fibonacci sequence was discovered. This video is about popularising this connection which previously went largely unnoticed. 00:00 Intro 07:07 Pythagorean triple tree 13:44 Pythagoras's other tree 16:02 Feuerbach miracle 24

From playlist Recent videos

CSE 519 --- Lecture 20: Clustering (Fall 2021)

11/18/21

From playlist CSE519 --- Data Science Fundamentals (Fall 2021)

Julien Tierny (2/3/22): Wasserstein Distances, Geodesics and Barycenters of Merge Trees

In this talk, I will present a unified computational framework for the estimation of distances, geodesics and barycenters of merge trees. We extend recent work on the edit distance and introduce a new metric, called the Wasserstein distance between merge trees, which is purposely designed

From playlist AATRN 2022

PortLand: Scaling Data Center Networks to 100,000 Ports and Beyond

(November 18, 2009) Amin Vahdat, a professor of Computer Science and Engineering at the University of California-San Diego, discusses PortLand, a scalable, fault tolerant layer 2 routing and forwarding protocol for data centers, and places the work in the context of his larger efforts in d

From playlist Engineering

Timothy Budd: Random hyperbolic surfaces

HYBRID EVENT Recorded during the meeting "Random Geometry" the January 18, 2022 by the Centre International de Rencontres Mathématiques (Marseille, France) Filmmaker: Guillaume Hennenfent Find this video and other talks given by worldwide mathematicians on CIRM's Audiovisual Mathematics

From playlist Probability and Statistics

Basic Drawing: 3pt Cityscape #10

Professor Leone demos making buildings more specific.

From playlist THE BASICS

Determining two angles that are supplementary

👉 Learn how to define and classify different angles based on their characteristics and relationships are given a diagram. The different types of angles that we will discuss will be acute, obtuse, right, adjacent, vertical, supplementary, complementary, and linear pair. The relationships

From playlist Angle Relationships From a Figure

CS224W: Machine Learning with Graphs | 2021 | Lecture 19.2 - Hyperbolic Graph Embeddings

For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/3Brc7vN Jure Leskovec Computer Science, PhD In previous lectures, we focused on graph representation learning in Euclidean embedding spaces. In this lecture, we in

From playlist Stanford CS224W: Machine Learning with Graphs