1.6 Arrays and matrices in R | statistical analysis and data science course Rstudio | Dimensional
In this chapter of the video series in the crash course in statistics and data science with R / Rstudio we will see the definition, utilization, and importance of arrays with R. Also, we discuss their extension from vectors to matrices. Part 1: Definition - What is an array? - Array or
From playlist R Tutorial | Rstudio
This video is brought to you by the Quantitative Analysis Institute at Wellesley College. The material is best viewed as part of the online resources that organize the content and include questions for checking understanding: https://www.wellesley.edu/qai/onlineresources
From playlist Tutorials for R Statistical Software
R Programming Introduction: Matrices (R intro-05)
[script is here https://github.com/bionicturtle/youtube/tree/master/r-intro] In R a matrix is an atomic vector with the dimension attribute. In this example, the correlation matrix is entered as a vector with sixteen elements: rho_v ＜-c(1.000, ...). Then the vector is translated into a mat
From playlist R Programming: Intro
1.5 Matrices and operations in R | statistical analysis and data science course Rstudio | Algebra
In this chapter of the video series in the crash course in statistics and data science with R / Rstudio we will see the definition, utilization, and importance of matrices with R. Also, we discuss the different algebraic operations like sum, subtraction and multiplication, as well as inver
From playlist R Tutorial | Rstudio
In this lesson we learn about matrices: two-dimensional data structures in R with rows and columns. Matrices are a building block to learning about more complicated tabular data structures like data frames which are used extensively in data science. This is lesson 6 of a 30-part introduct
From playlist Introduction to R
R programming for Beginners | R programming for data Science
R is a programming language and free software environment for statistical computing and graphics supported by the R Foundation for Statistical Computing. The R language is widely used among statisticians and data miners for developing statistical software and data analysis. This video is a
From playlist Programming
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
Find an Image of a Vector Under a 3 by 2 Matrix Transformation
This video explains how to find an image of an input vector under a linear transformation with a 3 by 2 standard matrix.
From playlist Matrix (Linear) Transformations
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
Mod-01 Lec-39 Q R Decomposition
Elementary Numerical Analysis by Prof. Rekha P. Kulkarni,Department of Mathematics,IIT Bombay.For more details on NPTEL visit http://nptel.ac.in
From playlist NPTEL: Elementary Numerical Analysis | CosmoLearning Mathematics
WildLinAlg12: Generalized dilations and eigenvectors
This video introduces the important idea of changing coordinates in Linear Algebra. A linear transformation can be described using many different matrices, depending on the underlying coordinate system, or ordered basis, which is used to describe the space. The simplest case is when the
From playlist A first course in Linear Algebra - N J Wildberger
Elementary Numerical Analysis by Prof. Rekha P. Kulkarni,Department of Mathematics,IIT Bombay.For more details on NPTEL visit http://nptel.ac.in
From playlist NPTEL: Elementary Numerical Analysis | CosmoLearning Mathematics
Samit Dasgupta: An introduction to to auxiliary polynomials in transcendence theory, Lecture III
Broadly speaking, transcendence theory is the study of the rationality or algebraicity properties of quantities of arithmetic or analytic interest. For example, Hilbert’s 7th problem asked ”Is a b always transcendental if a 6= 0, 1 is algebraic and b is irrational algebraic?” An affirmativ
From playlist Harmonic Analysis and Analytic Number Theory
Mod-01 Lec-38 Inverse Power Method
Elementary Numerical Analysis by Prof. Rekha P. Kulkarni,Department of Mathematics,IIT Bombay.For more details on NPTEL visit http://nptel.ac.in
From playlist NPTEL: Elementary Numerical Analysis | CosmoLearning Mathematics
AGACSE2021 Soheil Sarabandi - The 4D nearest rotation matrix problem
The 4D nearest rotation matrix problem.
From playlist AGACSE2021
Tropical Geometry - Lecture 10 - Matrix Rank | Bernd Sturmfels
Twelve lectures on Tropical Geometry by Bernd Sturmfels (Max Planck Institute for Mathematics in the Sciences | Leipzig, Germany) We recommend supplementing these lectures by reading the book "Introduction to Tropical Geometry" (Maclagan, Sturmfels - 2015 - American Mathematical Society)
From playlist Twelve Lectures on Tropical Geometry by Bernd Sturmfels
Geometry - Isometries and orthogonal matrices: Oxford Mathematics 1st Year Student Lecture
This is the second lecture we are showing from Derek Moulton's first-year Geometry course. This lecture provides an introduction to the concept of isometry, by which we mean a map from vector space to vector space that preserves distances. It outlines some basic ideas and makes the importa
From playlist Oxford Mathematics 1st Year Student Lectures
10. The Four Fundamental Subspaces
MIT 18.06 Linear Algebra, Spring 2005 Instructor: Gilbert Strang View the complete course: http://ocw.mit.edu/18-06S05 YouTube Playlist: https://www.youtube.com/playlist?list=PLE7DDD91010BC51F8 10. The Four Fundamental Subspaces License: Creative Commons BY-NC-SA More information at http
From playlist MIT 18.06 Linear Algebra, Spring 2005
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