In mathematics, the Hadamard product (also known as the element-wise product, entrywise product or Schur product) is a binary operation that takes two matrices of the same dimensions and produces another matrix of the same dimension as the operands, where each element i, j is the product of elements i, j of the original two matrices. It is to be distinguished from the more common matrix product. It is attributed to, and named after, either French mathematician Jacques Hadamard or German Russian mathematician Issai Schur. The Hadamard product is associative and distributive. Unlike the matrix product, it is also commutative. (Wikipedia).
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
Complex Matrices ( An intuitive visualization )
Complex Matrices are not given enough credit for what they do and even when they are used its often introduced as an foreign entity. This video was made to shed light on such a misinterpreted topic. Timestamps 00:00 - Introduction 00:11 - Matrix 00:45 - Complex Number 02:50 - Complex Ma
From playlist Summer of Math Exposition Youtube Videos
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
We have already looked at the column view of a matrix. In this video lecture I want to expand on this topic to show you that each matrix has a column space. If a matrix is part of a linear system then a linear combination of the columns creates a column space. The vector created by the
From playlist Introducing linear algebra
What is a matrix? Free ebook http://tinyurl.com/EngMathYT
From playlist Intro to Matrices
4.4.4 Matrix-matrix multiplication: Special Shapes
4.4.1 Matrix-matrix multiplication: Motivation
From playlist LAFF - Week 4
2 Construction of a Matrix-YouTube sharing.mov
This video shows you how a matrix is constructed from a set of linear equations. It helps you understand where the various elements in a matrix comes from.
From playlist Linear Algebra
Topics in Combinatorics lecture 5.0 --- Sets of vectors with no acute angles, and Hadamard matrices
How many vectors can you find in R^n if the angle between any two of them is at least a right angle? It's easy to see that one can find 2n such vectors, but can one do any better than this? And what if the vectors have to have all coordinates equal to 1 or -1? This video contains answers t
From playlist Topics in Combinatorics (Cambridge Part III course)
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
A Tutorial on Gaussian Elimination - John C Urschel
Computer Science/Discrete Mathematics Seminar II Topic: A Tutorial on Gaussian Elimination Speaker: John C Urschel Affiliation: Member, School of Mathematics Date: April 19, 2022 Gaussian elimination is one of the oldest and most well-known algorithms for solving a linear system. In this
From playlist Mathematics
Thomas Stoll: On generalised Rudin-Shapiro sequences
CIRM VIRTUAL CONFERENCE Recorded during the meeting " Diophantine Problems, Determinism and Randomness" the November 26, 2020 by the Centre International de Rencontres Mathématiques (Marseille, France) Filmmaker: Guillaume Hennenfent Find this video and other talks given by worldwide
From playlist Virtual Conference
DDPS | Entropy stable schemes for nonlinear conservation laws
High order methods are known to be unstable when applied to nonlinear conservation laws with shocks and turbulence, and traditionally require additional filtering, limiting, or artificial viscosity to avoid solution blow up. Entropy stable schemes address this instability by ensuring that
From playlist Data-driven Physical Simulations (DDPS) Seminar Series
Basic Tensor Arithmetic (The Hadamard Product) — Topic 12 of Machine Learning Foundations
In this video from my Machine Learning Foundations series, I demonstrate basic tensor arithmetic (including the Hadamard product) through hands-on code demos in NumPy, TensorFlow, and PyTorch. There are eight subjects covered comprehensively in the ML Foundations series and this video is
From playlist Linear Algebra for Machine Learning
Quantum computation (Lecture 02) by Peter Young
ORGANIZERS : Abhishek Dhar and Sanjib Sabhapandit DATE : 27 June 2018 to 13 July 2018 VENUE : Ramanujan Lecture Hall, ICTS Bangalore This advanced level school is the ninth in the series. This is a pedagogical school, aimed at bridging the gap between masters-level courses and topics
From playlist Bangalore School on Statistical Physics - IX (2018)
This is the other case. The first one was rotation about yb and xa, or if you like x into a and y into b, this one is rotation about xb and ya or x into b and y into a. Now I have a strange feeling that there are again an inifinite number of mixed cases, but I will not think about that now
From playlist Fractal
Wolfram Physics Project: Exploring Quantum Computing Tuesday, May 18, 2021
This is a Wolfram Physics Project working session exploring quantum computing in the Wolfram Model. Begins at 6:50 Originally livestreamed at: https://twitch.tv/stephen_wolfram Stay up-to-date on this project by visiting our website: http://wolfr.am/physics Check out the announcemen
From playlist Wolfram Physics Project Livestream Archive
10.9: Neural Networks: Matrix Math Part 3 - The Nature of Code
This video continues the "Matrix Math" series where I attempt to implement in JavaScript the math operations required for a simple neural network library. In this 3rd part, I implement matrix multiplication ("matrix product"). Next Video: https://youtu.be/nAz9AA_pQUQ This video is part o
From playlist Session 4 - Neural Networks - Intelligence and Learning
Nathan Wiebe - Quantum Simulation - IPAM at UCLA
Recorded 23 February 2023. Nathan Wiebe of the University of Toronto presents "Quantum Simulation" at IPAM's Winter School on Contemporary Quantum Algorithms and Applications. Learn more online at: http://www.ipam.ucla.edu/programs/special-events-and-conferences/winter-school-on-contempora
From playlist 2023 Winter School on Contemporary Quantum Algorithms and Applications
Live Stream #113: The Return of Neural Networks
There is a audio sync problem at the beginning of the video. To avoid it, skip to 13:10 Happy New Year! As promised, with the new year comes the continuation of my series on neural networks. https://www.youtube.com/playlist?list=PLRqwX-V7Uu6aCibgK1PTWWu9by6XFdCfh 29:30 - Using ES6 synt
From playlist Live Stream Archive
MATH2018 Lecture 6.2 Special Matrices
We look at the properties of invertible matrices, symmetric matrices, and orthogonal matrices, and discuss some important relationships between them.
From playlist MATH2018 Engineering Mathematics 2D