The method of determining eigenvalues as part of calculating the sets of solutions to a linear system of ordinary first-order differential equations.
From playlist A Second Course in Differential Equations
Linear Algebra: Ch 3 - Eigenvalues and Eigenvectors (5 of 35) What is an Eigenvector?
Visit http://ilectureonline.com for more math and science lectures! In this video I will explain and show (in general) what is and how to find an eigenvector. Next video in this series can be seen at: https://youtu.be/SGJHiuRb4_s
From playlist LINEAR ALGEBRA 3: EIGENVALUES AND EIGENVECTORS
Calculating e^A for a matrix A, explaining what this has to do with diagonalization, and solving systems of differential equations Check out my Eigenvalues playlist: https://www.youtube.com/watch?v=H-NxPABQlxI&list=PLJb1qAQIrmmC72x-amTHgG-H_5S19jOSf Subscribe to my channel: https://www.y
From playlist Eigenvalues
Eigenvalues | Eigenvalues and Eigenvectors
In this video, we work through some example computations of eigenvalues of 2x2 matrices. Including a case where the eigenvalues are complex numbers. We do not discuss any intuition or definition of eigenvalues or eigenvectors, we simply carry out some elementary computations. If you liked
From playlist Linear Algebra
logarithm of a matrix. I calculate ln of a matrix by finding the eigenvalues and eigenvectors of that matrix and by using diagonalization. It's a very powerful tool that allows us to find exponentials, sin, cos, and powers of a matrix and relates to Fibonacci numbers as well. This is a mus
From playlist Eigenvalues
A11 Eigenvalues with complex numbers
Eigenvalues which contain complex numbers.
From playlist A Second Course in Differential Equations
Equivariant structures in mirror symmetry - James Pascaleff
James Pascaleff University of Illinois at Urbana-Champaign October 17, 2014 When a variety XX is equipped with the action of an algebraic group GG, it is natural to study the GG-equivariant vector bundles or coherent sheaves on XX. When XX furthermore has a mirror partner YY, one can ask
From playlist Mathematics
Equivariant Eisenstein Classes, Critical Values of Hecke L-Functions.... by Guido Kings
Program Recent developments around p-adic modular forms (ONLINE) ORGANIZERS: Debargha Banerjee (IISER Pune, India) and Denis Benois (University of Bordeaux, France) DATE: 30 November 2020 to 04 December 2020 VENUE: Online This is a follow up of the conference organized last year arou
From playlist Recent Developments Around P-adic Modular Forms (Online)
Eigenvalues + eigenvectors example
Free ebook http://tinyurl.com/EngMathYT I show how to calculate the eigenvalues and eigenvectors of a matrix for those wanting to review their understanding.
From playlist Engineering Mathematics
10A An Introduction to Eigenvalues and Eigenvectors
A short description of eigenvalues and eigenvectors.
From playlist Linear Algebra
Transcendental Functions 22 The integral of e to the power u.mp4
The integral of e to the power u.
From playlist Transcendental Functions
Risi Kondor: "Fourier space neural networks"
Machine Learning for Physics and the Physics of Learning 2019 Workshop IV: Using Physical Insights for Machine Learning "Fourier space neural networks" Risi Kondor - University of Chicago & Flatiron Institute, Computer Science Institute for Pure and Applied Mathematics, UCLA November 1
From playlist Machine Learning for Physics and the Physics of Learning 2019
Cyclic homology and S1S1-equivariant symplectic cohomology - Sheel Ganatra
Sheel Ganatra Stanford University November 21, 2014 In this talk, we study two natural circle actions in Floer theory, one on symplectic cohomology and one on the Hochschild homology of the Fukaya category. We show that the geometric open-closed string map between these two complexes is S
From playlist Mathematics
Week 7 - Symmetry and Equivariance in Neural Networks - Tess Smidt
More about this lecture: https://dl4sci-school.lbl.gov/tess-smidt Deep Learning for Science School: https://dl4sci-school.lbl.gov/agenda
From playlist ML & Deep Learning
Tess Smidt - Learning how to break symmetry with symmetry-preserving neural networks - IPAM at UCLA
Recorded 26 January 2023. Tess Smidt of the Massachusetts Institute of Technology presents "Symmetry’s made to be broken: Learning how to break symmetry with symmetry-preserving neural networks" at IPAM's Learning and Emergence in Molecular Systems Workshop. Abstract: Symmetry-preserving (
From playlist 2023 Learning and Emergence in Molecular Systems
On triple product L functions - Jayce Robert Getz
Joint IAS/Princeton University Number Theory Seminar Topic: On triple product L functions Speaker: Jayce Robert Getz Affiliation: Duke University Date: May 7, 2020 For more video please visit http://video.ias.edu
From playlist Mathematics
Symplectic Vortices and the Quantum Kirwan Map (Lecture 2) by Chris Woodward
PROGRAM: VORTEX MODULI ORGANIZERS: Nuno Romão (University of Augsburg, Germany) and Sushmita Venugopalan (IMSc, India) DATE & TIME: 06 February 2023 to 17 February 2023 VENUE: Ramanujan Lecture Hall, ICTS Bengaluru For a long time, the vortex equations and their associated self-dual fie
From playlist Vortex Moduli - 2023
AMMI Course "Geometric Deep Learning" - Lecture 3 (Geometric Priors I) - Taco Cohen
Video recording of the course "Geometric Deep Learning" taught in the African Master in Machine Intelligence in July-August 2021 by Michael Bronstein (Imperial College/Twitter), Joan Bruna (NYU), Taco Cohen (Qualcomm), and Petar Veličković (DeepMind) Lecture 3: Symmetries • Abstract group
From playlist AMMI Geometric Deep Learning Course - First Edition (2021)
Recent developments in non-commutative Iwasawa theory I - David Burns
David Burns March 25, 2011 For more videos, visit http://video.ias.edu
From playlist Mathematics
(New Version Available) Inverse Functions
New Version: https://youtu.be/q6y0ToEhT1E Define an inverse function. Determine if a function as an inverse function. Determine inverse functions. http://mathispower4u.wordpress.com/
From playlist Exponential and Logarithmic Expressions and Equations