What is a matrix? Free ebook http://tinyurl.com/EngMathYT
From playlist Intro to Matrices
This video introduces the identity matrix and illustrates the properties of the identity matrix. http://mathispower4u.yolasite.com/ http://mathispower4u.wordpress.com/
From playlist Introduction to Matrices and Matrix Operations
Understanding Matrices and Matrix Notation
In order to do linear algebra, we will have to know how to use matrices. So what's a matrix? It's just an array of numbers listed in a grid of particular dimensions that can represent the coefficients and constants from a system of linear equations. They're fun, I promise! Let's just start
From playlist Mathematics (All Of It)
14. Low Rank Changes in A and Its Inverse
MIT 18.065 Matrix Methods in Data Analysis, Signal Processing, and Machine Learning, Spring 2018 Instructor: Gilbert Strang View the complete course: https://ocw.mit.edu/18-065S18 YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP63oMNUHXqIUcrkS2PivhN3k In this lecture, P
From playlist MIT 18.065 Matrix Methods in Data Analysis, Signal Processing, and Machine Learning, Spring 2018
matrix choose a matrix. Calculating the number of matrix combinations of a matrix, using techniques from linear algebra like diagonalization, eigenvalues, eigenvectors. Special appearance by simultaneous diagonalizability and commuting matrices. In the end, I mention the general case using
From playlist Eigenvalues
How do we add matrices. A matrix is an abstract object that exists in its own right, and in this sense, it is similar to a natural number, or a complex number, or even a polynomial. Each element in a matrix has an address by way of the row in which it is and the column in which it is. Y
From playlist Introducing linear algebra
Lecture 14 | Convex Optimization I (Stanford)
Professor Stephen Boyd, of the Stanford University Electrical Engineering department, gives a background lecture of numerical linear algebra for the course, Convex Optimization I (EE 364A). Convex Optimization I concentrates on recognizing and solving convex optimization problems that a
From playlist Lecture Collection | Convex Optimization
Replication or Exploration? Sequential Design for Stochastic Simulation Experiments
The Data Science Institute (DSI) hosted a virtual seminar by Robert Gramacy from Virginia Tech on March 15, 2021. Read more about the DSI seminar series at https://data-science.llnl.gov/latest/seminar-series. We investigate the merits of replication and provide methods that search for opti
From playlist DSI Virtual Seminar Series
PreCalculus - Matrices & Matrix Applications (19 of 33) What is an Identity Matrix?
Visit http://ilectureonline.com for more math and science lectures! In this video I will define, explain, and find the identity matrices to 1x1, 2x2, and 3x3 matrices. Next video in the Matrices series can be seen at: http://youtu.be/KoKWMSABkuM
From playlist Michel van Biezen: PRECALCULUS 12 - MATRICES
Introduction to Matrix Transformations
This video defines a matrix transformation, linear transformation and provides example on how to find images of a transformation.
From playlist Matrix (Linear) Transformations
Florida's Abandoned Island Fort
Join this channel to get access to perks: https://www.youtube.com/channel/UCzIZ8HrzDgc-pNQDUG6avBA/join Fort Jefferson is a massive but unfinished coastal fortress. It is the largest brick masonry structure in the Americas and is composed of over 16 million bricks. The building covers 16
From playlist IT'S HISTORY Feature Videos
Backfitting for large scale crossed random effects regressions
Professor Art Own (Stanford University) presents, "Backfitting for large scale crossed random effects regressions", 2 February 2023. ***Due to an unforeseen internet outage during Art’s talk, we were only able to record about 2/3 of Art’s talk***
From playlist Statistics Across Campuses
Mario Figueiredo: ADMM in Imaging Inverse Problems: Some History and Recent Advances
Abstract: The alternating direction method of multipliers (ADMM) is an optimization tool of choice for several imaging inverse problems, namely due its flexibility, modularity, and efficiency. In this talk, I will begin by reviewing our earlier work on using ADMM to deal with classical pro
From playlist Analysis and its Applications
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
Lec 10 | MIT 18.085 Computational Science and Engineering I
Delta function and Green's function A more recent version of this course is available at: http://ocw.mit.edu/18-085f08 License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
From playlist MIT 18.085 Computational Science & Engineering I, Fall 2007
Did you know that you can define the factorial A! of a matrix A? If not, then definitely check out this video! Functional Analysis Overview: https://youtu.be/pTUo1g3kYMw Linear Algebra Playlist: https://www.youtube.com/playlist?list=PLJb1qAQIrmmCM0HdpHbhWcKdM-oVXPPRI Eigenvalues Playlist
From playlist Eigenvalues
Francis Hui - Spatial Confounding for GEEs
Dr Francis Hui (ANU) presents "Spatial Confounding for GEEs", 19 June 2020.
From playlist Statistics Across Campuses
Peter Benner: Matrix Equations and Model Reduction, Lecture 5
Peter Benner from the Max Planck Institute presents: Matrix Equations and Model Reduction; Lecture 5
From playlist Gene Golub SIAM Summer School Videos
Identity Matrix | Unit Matrix | Don't Memorise
This video explains the concept of an Identity Matrix. Is it also called a Unit 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=iks8wCfPerU&utm_term=%7Bkeyword%
From playlist Matrices
Seminar In the Analysis and Methods of PDE (SIAM PDE): Yann Brenier
Date: June 3, 2021, 11:30 am ET Speaker: Yann Brenier, École Normale Supérieure, Paris Title: On optimal transport of matrix-valued measures Abstract: We suggest a way of defining optimal transport of positive-semidefinite matrix-valued measures, inspired by a recent rendering of the in
From playlist Seminar In the Analysis and Methods of PDE (SIAM PDE)