Linear algebra | Matrix theory
In mathematics, and more specifically matrix theory, the spread of a matrix is the largest distance in the complex plane between any two eigenvalues of the matrix. (Wikipedia).
Concept Check: Describe the Range or Image of a Linear Transformation (R3, x to 0)
This video explains how to describe the image or range of a linear transformation.
From playlist Matrix (Linear) Transformations
What is a matrix? Free ebook http://tinyurl.com/EngMathYT
From playlist Intro to Matrices
The Diagonalization of Matrices
This video explains the process of diagonalization of a matrix.
From playlist The Diagonalization of Matrices
This is the second video of a series from the Worldwide Center of Mathematics explaining the basics of matrices. This video deals with multiplying two matrices. For more math videos, visit our channel or go to www.centerofmath.org
From playlist Basics: Matrices
Matrix Addition, Subtraction, and Scalar Multiplication
This video shows how to add, subtract and perform scalar multiplication with matrices. http://mathispower4u.yolasite.com/ http://mathispower4u.wordpress.com/
From playlist Introduction to Matrices and Matrix Operations
Transpose of a Matrix | Don't Memorise
What is the Transpose of a Matrix? ✅To learn more about, Matrices, enroll in our full course now: https://infinitylearn.com/microcourses?utm_source=youtube&utm_medium=Soical&utm_campaign=DM&utm_content=g_Rz94DXvNo&utm_term=%7Bkeyword%7D In this video, we will learn: 0:00 what is transp
From playlist Matrices
Linear Algebra for Computer Scientists. 12. Introducing the Matrix
This computer science video is one of a series of lessons about linear algebra for computer scientists. This video introduces the concept of a matrix. A matrix is a rectangular or square, two dimensional array of numbers, symbols, or expressions. A matrix is also classed a second order
From playlist Linear Algebra for Computer Scientists
Vectors: Addition and Scalar Multiplication
This is the first video of a series from the Worldwide Center of Mathematics explaining the basics of vectors. This video deals with vector notation, vector addition, and scalar multiplication. For more math videos, visit our channel or go to www.centerofmath.org
From playlist Basics: Vectors
Old and New Results on the Spread of the Spectrum of a Graph - John C Urschel
The spread of a matrix is defined as the diameter of its spectrum. This quantity has been well-studied for general matrices and has recently grown in popularity for the specific case of the adjacency matrix of a graph. Most notably, Gregory, Herkowitz, and Kirkland proved a number of key r
From playlist Mathematics
Анализ Социальных Сетей II, Лекция 3. Эпидемии в сетях
Слайды: http://www.leonidzhukov.net/hse/2014/socialnetworks/lectures2/lecture3.pdf Модели SI, SIR, SIS на сетях. Моделирование распростронения на сетях. Epidemics in networks. Epidemic models SI, SIS, SIR. Modeling of infection propagation on networks.
From playlist Анализ Социальных Сетей. Курс НИУ ВШЭ
Multivariate Gaussian distributions
Properties of the multivariate Gaussian probability distribution
From playlist cs273a
Graphs, Principal Minors, and Eigenvalue Problems - John C Urschel
Short Talks by Postdoctoral Members Topic: Graphs, Principal Minors, and Eigenvalue Problems Speaker: John C Urschel Affiliation: Member, School of Mathematics Date: September 29, 2021
From playlist Mathematics
Network Analysis. Lecture 13. Epidemics on networks
Spread of epidemics on networks.SI, SIS, SIR models. Epidemic threshold. Simulation of infection propagation. Lecture slides: http://www.leonidzhukov.net/hse/2015/networks/lectures/lecture13.pdf
From playlist Structural Analysis and Visualization of Networks.
PEV localization in complex Networks: Relation with the disease spreading by Sarika Jalan
DISCUSSION MEETING : MATHEMATICAL AND STATISTICAL EXPLORATIONS IN DISEASE MODELLING AND PUBLIC HEALTH ORGANIZERS : Nagasuma Chandra, Martin Lopez-Garcia, Carmen Molina-Paris and Saumyadipta Pyne DATE & TIME : 01 July 2019 to 11 July 2019 VENUE : Madhava Lecture Hall, ICTS, Bangalore
From playlist Mathematical and statistical explorations in disease modelling and public health
2: Matrix Product Expansions - Learning Linear Algebra
Full Learning Linear Algebra playlist: https://www.youtube.com/playlist?list=PLug5ZIRrShJHNCfEiX6l5CKbljWayGEcs Matrix-column, row-matrix, and outer product expansions of the matrix product. New math videos every Wednesday. Subscribe to make sure you see them!
From playlist Learning Linear Algebra
Principal Component Analysis (PCA)
Announcement: New Book by Luis Serrano! Grokking Machine Learning. bit.ly/grokkingML 40% discount code: serranoyt A conceptual description of principal component analysis, including: - variance and covariance - eigenvectors and eigenvalues - applications As usual, very little formulas, lo
From playlist Unsupervised Learning
Ideas for a Complex World - Anna Seigal
Science is full of smart tools for explaining the world around us. But those tools can sometimes feel far removed from the way the rest of us understand that world. How can we reconcile the two approaches? Oxford Mathematician Anna Seigal provides some pertinent answers in this Oxford Math
From playlist Oxford Mathematics Public Lectures
PCA explained with intuition, a little math and code
Say "PCA" and the dimensions go away! Dimensionality reduction with PCA (Principal Component Analysis) explained with intuition, a little math and code. If you ever wanted to know how to escape the curse of dimensionality, this video is for you! Also, learn about the curse of dimensionalit
From playlist Dimensionality reduction. The basics.
Network Science. Lecture12 .Diffusion and random walks on graphs.
Diffusion and random walks on graphs. Lecture slides: http://www.leonidzhukov.net/hse/2020/networks/lectures/lecture12.pdf
From playlist Network Science. Module 2, 2020
Ex 2: Determinant of 3x3 Matrix - Diagonal Method
This video provides an example of how to calculate the determinant using the diagonal method. Site: http://mathispower4u.com
From playlist The Determinant of a Matrix