What is a matrix? Free ebook http://tinyurl.com/EngMathYT
From playlist Intro to Matrices
(3.2.3) The Determinant of Square Matrices and Properties
This video defines the determinant of a matrix and explains what a determinant means in terms of mapping and area. https://mathispower4u.com
From playlist Differential Equations: Complete Set of Course Videos
Transcendental Functions 3 Examples using Properties of Logarithms.mov
Examples using the properties of logarithms.
From playlist Transcendental Functions
(4.1.3) Orthogonality of Eigenfunctions Theorem and Proof
This video explains and proves a theorem on the orthogonality of eigenfunctions. https://mathispower4u.com
From playlist Differential Equations: Complete Set of Course Videos
Indefinite Integration of Vector Valued Functions
This video explains how to find the antiderivative of a vector valued function. Site: http://mathispoweru4.com
From playlist Vector Valued Functions
Math 060 Fall 2017 111317C Orthonormal Bases
Motivation: how to obtain the coordinate vector with respect to a given basis? Definition: orthogonal set. Example. Orthogonal implies linearly independent. Orthonormal sets. Example of an orthonormal set. Definition: orthonormal basis. Properties of orthonormal bases. Example: Fou
From playlist Course 4: Linear Algebra (Fall 2017)
Denjoe O’Connor - Non-perturbative Studies of Membrane Matrix Models
https://indico.math.cnrs.fr/event/4272/attachments/2260/2719/IHESConference_Denjoe_OCONNOR.pdf
From playlist Space Time Matrices
Math 060 Fall 2017 112717C Hermitian Matrices Part 1
Definitions: complex conjugate, modulus, complex vector, conjugate transpose, complex inner product, conjugate matrix. Hermitian matrices. Hermitian matrices and the inner product. Hermitian matrices have 1. real eigenvalues, 2. orthogonal eigenspaces. Unitary matrices. Hermitian matr
From playlist Course 4: Linear Algebra (Fall 2017)
In this video, I define the notion of adjugate matrix and use it to calculate A-1 using determinants. This is again beautiful in theory, but inefficient in examples. Adjugate matrix example: https://youtu.be/OFykHi0idnQ Check out my Determinants Playlist: https://www.youtube.com/playlist
From playlist Determinants
Spherical Transverse M5-branes from the Plane Wave Matrix Model by Goro Ishiki
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
Matrix Entanglement by Vaibhav Gautam
PROGRAM NONPERTURBATIVE AND NUMERICAL APPROACHES TO QUANTUM GRAVITY, STRING THEORY AND HOLOGRAPHY (HYBRID) ORGANIZERS: David Berenstein (University of California, Santa Barbara, USA), Simon Catterall (Syracuse University, USA), Masanori Hanada (University of Surrey, UK), Anosh Joseph (II
From playlist NUMSTRING 2022
Morrey's conjecture - László Székelyhidi
Members’ Colloquium Topic: Morrey's conjecture Speaker: László Székelyhidi Affiliation: University of Leipzig; Distinguished Visiting Professor, School of Mathematics Date: February 14, 2022 Morrey’s conjecture arose from a rather innocent looking question in 1952: is there a local condi
From playlist Mathematics
WSU: Fundamental Lessons from String Theory with Cumrun Vafa
Cumrun Vafa, together with fellow world-renowned string theorist Andrew Strominger, developed a new way to calculate black hole entropy in the language of string theory. Follow Vafa as he guides you through some of the more incredible things we have learned since string theory’s inception.
From playlist WSU Master Classes
WSU: Fundamental Lessons from String Theory with Cumrun Vafa
Cumrun Vafa, together with fellow world-renowned string theorist Andrew Strominger, developed a new way to calculate black hole entropy in the language of string theory. Follow Vafa as he guides you through some of the more incredible things we have learned since string theory’s inception.
From playlist WSU Master Class
Data Compression with SVD — Topic 36 of Machine Learning Foundations
In this video, we take advantage of the singular value decomposition theory that we covered in the preceding video to dramatically compress data within a hands-on Python demo. There are eight subjects covered comprehensively in the ML Foundations series and this video is from the second
From playlist Linear Algebra for Machine Learning
Machine Learning Crash Course-2 Hours | Learn Machine Learning | Machine Learning Tutorial | Edureka
🔥 Post Graduate Diploma in Artificial Intelligence by E&ICT Academy NIT Warangal: https://www.edureka.co/executive-programs/machine-learning-and-ai 🔥 Topics Wise Machine Learning Podcast : https://castbox.fm/channel/id1832236?country=us This Edureka Machine Learning video on "Machine Lear
From playlist Machine Learning Algorithms in Python (With Demo) | Edureka
Pawel Grzegrzolka - Asymptotic dimension of fuzzy metric spaces
38th Annual Geometric Topology Workshop (Online), June 15-17, 2021 Pawel Grzegrzolka, Stanford University Title: Asymptotic dimension of fuzzy metric spaces Abstract: In this talk, we will discuss asymptotic dimension of fuzzy metric spaces. After a short introduction to fuzzy metric spac
From playlist 38th Annual Geometric Topology Workshop (Online), June 15-17, 2021
Complex, Hermitian, and Unitary Matrices
Remember when we talked about complex and imaginary numbers? All that a + bi stuff, it was a while ago. Well that can apply to matrices as well! We've been looking at real matrices thus far, but we can have imaginary or complex matrices if we have imaginary or complex terms as entries. Wha
From playlist Mathematics (All Of It)
Shahn Majid: Quantum geodesic flows and curvature
Talk in the Global Noncommutative Geometry Seminar (23 February 2022)
From playlist Global Noncommutative Geometry Seminar (Europe)