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
I this video I show you how to create mathematical variables and how to do matrix arithmetic. This includes multiplication with scalars and proper matrix multiplication. This requires you to know the dimensions of the matrices, which can be determined using the .shape method.
From playlist Modern linear algebra using Python instead of a textbook
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
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
There are two very easy ways of calculating the inverse of a square matrix in sympy in python. In this video I show you both methods. The first involves creating a rectangular matrix by adding a similarly sized identity matrix to the right and performing elementary row operations until r
From playlist Modern linear algebra using Python instead of a textbook
Definition of a matrix | Lecture 1 | Matrix Algebra for Engineers
What is a matrix? Join me on Coursera: https://www.coursera.org/learn/matrix-algebra-engineers Lecture notes at http://www.math.ust.hk/~machas/matrix-algebra-for-engineers.pdf Subscribe to my channel: http://www.youtube.com/user/jchasnov?sub_confirmation=1
From playlist Matrix Algebra for Engineers
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
In this very easy and short tutorial I explain the concept of the transpose of matrices, where we exchange rows for columns. The matrices have some properties that you should be aware of. These include how to the the transpose of the product of matrices and in the transpose of the invers
From playlist Introducing linear algebra
Lecture 19 (CEM) -- Formulation of Rigorous Coupled-Wave Analysis
This lecture steps the student through the formulation of rigorous coupled-wave analysis. It parallels the lecture on the transfer matrix method and adopts the same formalism for scattering matrices. A bonus section discusses the enhanced transmittance matrix approach. Prerequisite Lect
From playlist UT El Paso: CEM Lectures | CosmoLearning.org Electrical Engineering
How to Cluster Data in MATLAB | K Means Clustering | Hierarchical Clustering in MATLAB | Simplilearn
🔥 Become a Data Analytics expert (Coupon Code: YTBE15): https://www.simplilearn.com/data-analyst-masters-certification-training-course?utm_campaign=5April2023HowtoClusterDatainMATLAB&utm_medium=DescriptionFirstFold&utm_source=youtube 🔥 Professional Certificate Program In Data Analytics
From playlist Matlab
Lecture 7 | Convex Optimization II (Stanford)
Lecture by Professor Stephen Boyd for Convex Optimization II (EE 364B) in the Stanford Electrical Engineering department. Professor Boyd finishes his lecture on Analytic center cutting-plane method, and begins Ellipsoid methods. This course introduces topics such as subgradient, cutting
From playlist Lecture Collection | Convex Optimization
Complex Langevin Dynamics in Large-N Gauge Theories by Pallab Basu
Nonperturbative and Numerical Approaches to Quantum Gravity, String Theory and Holography DATE:27 January 2018 to 03 February 2018 VENUE:Ramanujan Lecture Hall, ICTS Bangalore The program "Nonperturbative and Numerical Approaches to Quantum Gravity, String Theory and Holography" aims to
From playlist Nonperturbative and Numerical Approaches to Quantum Gravity, String Theory and Holography
Lecture 1 (CEM) -- Introduction to CEM
This lecture introduces the course and steps the student through an overview of most of the major techniques in computational electromagnetics.
From playlist UT El Paso: CEM Lectures | CosmoLearning.org Electrical Engineering
Matti Lassas: "New deep neural networks solving non-linear inverse problems"
High Dimensional Hamilton-Jacobi PDEs 2020 Workshop II: PDE and Inverse Problem Methods in Machine Learning "New deep neural networks solving non-linear inverse problems" Matti Lassas - University of Helsinki Abstract: We consider a new type of deep neural network developed to solve nonl
From playlist High Dimensional Hamilton-Jacobi PDEs 2020
Complex Langevin Simulations of the Matrix Model for Superstrings by Jun Nishimura
PROGRAM Nonperturbative and Numerical Approaches to Quantum Gravity, String Theory and Holography (ONLINE) ORGANIZERS: David Berenstein (UCSB), Simon Catterall (Syracuse University), Masanori Hanada (University of Surrey), Anosh Joseph (IISER, Mohali), Jun Nishimura (KEK Japan), David Sc
From playlist Nonperturbative and Numerical Approaches to Quantum Gravity, String Theory and Holography (Online)
DDPS | Prony's method, analytic continuation, and quantum signal processing by Lexing Ying
Description: Prony's method is a powerful algorithm for identifying frequencies and amplitudes from equally spaced signals. It is probably not as well-known as it should have been. In the first part of the talk, we will review the Prony's method. In the second part of the talk, we use the
From playlist Data-driven Physical Simulations (DDPS) Seminar Series
Numerically Linearizing a Dynamic System
In this video we show how to linearize a dynamic system using numerical techniques. In other words, the linearization process does not require an analytical description of the system. This is useful in situations where the system in question is either too complicated to describe with ana
From playlist Flight Mechanics
Using a Matrix Equation to Solve a System of Equations
This video shows how to solve a system of equations by using a matrix equation. The graphing calculator is integrated into the lesson. http://mathispower4u.yolasite.com/ http://mathispower4u.wordpress.com/
From playlist Matrix Equations