Calculating the matrix of a linear transformation with respect to a basis B. Here is the case where the input basis is the same as the output basis. Check out my Vector Space playlist: https://www.youtube.com/watch?v=mU7DHh6KNzI&list=PLJb1qAQIrmmClZt_Jr192Dc_5I2J3vtYB Subscribe to my ch
From playlist Linear Transformations
Version 1: Find the Dimensions of the Transformation Matrix Given T(x)=b
This video explains how to determine the dimensions of a linear transformation matrix when given T(x)=b.
From playlist Matrix (Linear) Transformations
Find the Transformation Matrix Given Two Transformations in R2 Using an Inverse Matrix
This video explains how to use an inverse matrix to find a transformation matrix in R2 given two vector transformations.
From playlist Matrix (Linear) Transformations
Sketch a Linear Transformation of a Rectangle Given the Transformation Matrix (Reflection)
This video explains 2 ways to graph a linear transformation of a rectangle on the coordinate plane.
From playlist Matrix (Linear) Transformations
Sketch a Linear Transformation of a Unit Square Given the Transformation Matrix (Shear)
This video explains 2 ways to graph a linear transformation of a unit square on the coordinate plane.
From playlist Matrix (Linear) Transformations
Identify the Domain and Codomain of a Linear Transformation Given a Matrix
This video reviews how to determine the domain and codomain of a linear transformation given the standard matrix.
From playlist Matrix (Linear) Transformations
Change of Basis Between Two Nonstandard Bases (Example)
This video explains how to find a transition matrix between two nonstandard bases and how to find the coordinates of a vector.
From playlist Vectors: Change of Basis
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
What is a matrix? Free ebook http://tinyurl.com/EngMathYT
From playlist Intro to Matrices
Lecture 30: Completing a Rank-One Matrix, Circulants!
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 Professor Strang s
From playlist MIT 18.065 Matrix Methods in Data Analysis, Signal Processing, and Machine Learning, Spring 2018
12. Computing Eigenvalues and Singular Values
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 Numerical linear a
From playlist MIT 18.065 Matrix Methods in Data Analysis, Signal Processing, and Machine Learning, Spring 2018
Physics-Informed Dynamic Mode Decomposition (PI-DMD)
In this video, Peter Baddoo from MIT (www.baddoo.co.uk) explains how physical laws can be integrated into the dynamic mode decomposition. Title: Physics-informed dynamic mode decomposition (piDMD) Authors: Peter J. Baddoo, Benjamin Herrmann, Beverley J. McKeon, J. Nathan Kutz, and Steven
From playlist Research Abstracts from Brunton Lab
Lecture 25 | The Fourier Transforms and its Applications
Lecture by Professor Brad Osgood for the Electrical Engineering course, The Fourier Transforms and its Applications (EE 261). Professor Osgood lectures on the relationship between LTI and the Fourier transforms. The Fourier transform is a tool for solving physical problems. In this cou
From playlist Lecture Collection | The Fourier Transforms and Its Applications
AMMI 2022 Course "Geometric Deep Learning" - Lecture 7 (Grids) - Joan Bruna
Video recording of the course "Geometric Deep Learning" taught in the African Master in Machine Intelligence in July 2022 by Michael Bronstein (Oxford), Joan Bruna (NYU), Taco Cohen (Qualcomm), and Petar Veličković (DeepMind) Lecture 1: Symmetry through the centuries • First neural networ
From playlist AMMI Geometric Deep Learning Course - Second Edition (2022)
The Morse Word and Entropy | CHALK Math live streams
The goal of this live stream was to talk about the Morse Word and Entropy of the Morse shift while assuming no experience with symbolic dynamics (while practicing communicating math live on my end 😅). We start from scratch by discussing the view point of symbols, finite words and infinite
From playlist CHALK Streams
AMMI 2022 Course "Geometric Deep Learning" - Seminar 4 (Neural Sheaf Diffusion) - Cristian Bodnar
Video recording of the course "Geometric Deep Learning" taught in the African Master in Machine Intelligence in July 2022 Seminar 5 - Neural Sheaf Diffusion - Cristian Bodnar (Cambridge) Slides: https://www.dropbox.com/s/7hyqlwh45bdkv0f/AIMS%202022%20-%20Seminar%204%20-%20Neural%20sheaf
From playlist AMMI Geometric Deep Learning Course - Second Edition (2022)
Lecture 28 | The Fourier Transforms and its Applications
Lecture by Professor Brad Osgood for the Electrical Engineering course, The Fourier Transforms and its Applications (EE 261). Professor Osgood continues to lecture on the higher dimensional Fourier Transforms. The Fourier transform is a tool for solving physical problems. In this cours
From playlist Lecture Collection | The Fourier Transforms and Its Applications
Roland Memisevic: "Multiview Feature Learning, Pt. 2"
Graduate Summer School 2012: Deep Learning, Feature Learning "Multiview Feature Learning, Pt. 2" Roland Memisevic, Johann Wolfgang Goethe-Universität Frankfurt Institute for Pure and Applied Mathematics, UCLA July 25, 2012 For more information: https://www.ipam.ucla.edu/programs/summer-
From playlist GSS2012: Deep Learning, Feature Learning
From classical to quantum integrability, and back - Vladimir Kazakov
Vladimir Kazakov École normale supérieure March 25, 2014 Hirota relations in their various incarnations play an important role in both classical and quantum integrable systems, from matrix integrals and PDE's to one-dimensional quantum spin chains and two dimensional quantum field theories
From playlist Mathematics
Math 060 Linear Algebra 12 100614: Change of Basis, ct'd.
Change of bases in abstract vector spaces; transition matrix from one basis to another; example of determining and using the transition matrix; transition matrices are invertible; invertible matrices can be realized as transition matrices
From playlist Course 4: Linear Algebra