LU reduction is an algorithm related to LU decomposition. This term is usually used in the context of super computing and highly parallel computing. In this context it is used as a benchmarking algorithm, i.e. to provide a comparative measurement of speed for different computers. LU reduction is a special parallelized version of an LU decomposition algorithm, an example can be found in (Guitart 2001). The parallelized version usually distributes the work for a matrix row to a single processor and synchronizes the result with the whole matrix (Escribano 2000). (Wikipedia).
LU Decomposition - Shortcut Method
This video explains how to find the LU Decomposition of a square matrix using a shortcut involving the opposite of multipliers used when performing row operations. Site: http://mathispower4u.com Blog: http://mathispower4u.wordpress.com
From playlist Matrix Equations
In LU decomposition we decompose a matrix into two matrices, that, when multiplied in a certain order, gives rise to the original matrix. L is a lower triangular matrix, and U is an upper triangular matrix. An upper triangular matrix has entries equaling zero below the main diagonal and a
From playlist Introducing linear algebra
Solve a System of Linear Equations Using LU Decomposition
This video explains how to use LU Decomposition to solve a system of linear equations. Site: http://mathispower4u.com Blog: http://mathispower4u.wordpress.com
From playlist Matrix Equations
Linear Algebra 13e: The LU Decomposition
https://bit.ly/PavelPatreon https://lem.ma/LA - Linear Algebra on Lemma http://bit.ly/ITCYTNew - Dr. Grinfeld's Tensor Calculus textbook https://lem.ma/prep - Complete SAT Math Prep
From playlist Part 1 Linear Algebra: An In-Depth Introduction with a Focus on Applications
LU Decomposition Using Elementary Matrices
This video explains how find the LU Decomposition of a square matrix using elementary matrices. Site: http://mathispower4u.com Blog: http://mathispower4u.wordpress.com
From playlist Matrix Equations
👉 Learn about dilations. Dilation is the transformation of a shape by a scale factor to produce an image that is similar to the original shape but is different in size from the original shape. A dilation that creates a larger image is called an enlargement or a stretch while a dilation tha
From playlist Transformations
6.3.4 Solving A x = b via LU factorization, L y = b, and U x = y
6.3.4 Solving A x = b via LU factorization, L y = b, and U x = y
From playlist LAFF - Week 6
Tut2 Q786 (zoom-recorded tutorial)
Tut2_Q786 Q7: 0 .. 21:00 Q8: 21:00 .. 30:38 Q6: 30:38 .. 59:05
From playlist Tutorial 2
Chemistry - Oxidation-Reduction Reaction (1 of 19) Basics
Visit http://ilectureonline.com for more math and science lectures! In this video I will explain the basics of oxidation-reduction reaction, example: LiF.
From playlist CHEMISTRY 20 OXIDATION REDUCTION REACTIONS
LU decomposition of a matrix, finding the LU decomposition of A and showing why it is useful for solving systems of equations. This sort of explains how computers solve systems of equations Check out my Matrix Algebra playlist: https://www.youtube.com/playlist?list=PLJb1qAQIrmmAIZGo2l8SWv
From playlist Matrix Algebra
Factorization-based Sparse Solvers and Preconditions, Lecture 3
Xiaoye Sherry Li's (from Lawrence Berkeley National Laboratory) lecture number three on Factorization-based sparse solves and preconditioners
From playlist Gene Golub SIAM Summer School Videos
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
Michael Lu - Impoving the Health of America's Children and Families
Keynote speaker Michael Lu discusses ways for every child and family to have a fair shot at reaching their fullest potential at the 2016 Childx Symposium. Childx is a dynamic, TED-style conference designed to inspire innovation that improves pediatric and maternal health. Visit our websit
From playlist Stanford Childx Conference 2016
Michael Lu, MD, discusses pediatric and maternal health at Childx 2016. Childx is a dynamic, TED-style conference designed to inspire innovation in pediatric and maternal health. The symposium took place April 21 - 22, 2016, at the School of Medicine. Learn more: http://childx.stanford.edu
From playlist Stanford Childx Conference 2016
Product of elementary matrices
Writing a matrix as a product of elementary matrices, using row-reduction Check out my Matrix Algebra playlist: https://www.youtube.com/playlist?list=PLJb1qAQIrmmAIZGo2l8SWvsHeeCLzamx0 Subscribe to my channel: https://www.youtube.com/channel/UCoOjTxz-u5zU0W38zMkQIFw
From playlist Matrix Algebra
Theory of Computation: The Post Correspondence Problem
This video is for my Spring 2020 section of MA 342, for the class meeting on Friday April 24. Fast forward music is from "Now Get Busy" by the Beastie Boys, licensed Creative Commons Noncommercial Sampling Plus.
From playlist Math 342 (Theory of Computation) Spring 2020
Linear Algebra 9.1 LU-Decompositions
My notes are available at http://asherbroberts.com/ (so you can write along with me). Elementary Linear Algebra: Applications Version 12th Edition by Howard Anton, Chris Rorres, and Anton Kaul A. Roberts is supported in part by the grants NSF CAREER 1653602 and NSF DMS 2153803.
From playlist Linear Algebra
P. Gérard - L'équation de Benjamin-Ono et sa transformation de Fourier non linéaire
L'équation de Benjamin-Ono a été introduite par Brooke Benjamin à la fin des années 1960 pour modéliser certains régimes en mécanique des fluides. C'est une équation d'évolution dispersive qui possède une paire de Lax, faisant intervenir des opérateurs de Toeplitz à une variable. J'expliqu
From playlist 70 ans des Annales de l'institut Fourier