Using ‘fminsearch’ to Minimize a Function Specified by a File with Extra Parameters
In this video we show 4 different ways to use/call Matlab’s ‘fminsearch’ function to perform unconstrained optimization. Topics and timestamps: 0:00 – Introduction 2:23 – Defining function to be optimized 6:30 – fminsearch with a function specified by a file 10:17 – fminsearch with an ano
From playlist Working with Matlab
Vector and matrix forms for systems of linear equations | Linear Algebra MATH1141 | N J Wildberger
A system of linear equations may also be viewed in vector form, as an attempt to write one vector as a linear combination of other vectors. Or it more alternatively be viewed in matrix form. We discuss the matrix of coefficients, the vector of variables and the vector of constants. Puttin
From playlist Higher Linear Algebra
The Vandermonde Matrix and Polynomial Interpolation
The Vandermonde matrix is a used in the calculation of interpolating polynomials but is more often encountered in the proof that such polynomial interpolates exist. It is also often encountered in the study of determinants since it has a really nice determinant formula. Chapters 0:00 - In
From playlist Interpolation
Rose Yu - Incorporating Symmetry for Learning Spatiotemporal Dynamics - IPAM at UCLA
Recorded 26 January 2023. Rose Yu of the University of California, San Diego, presents "Incorporating Symmetry for Learning Spatiotemporal Dynamics" at IPAM's Learning and Emergence in Molecular Systems Workshop. Abstract: While deep learning has shown tremendous success in many scientific
From playlist 2023 Learning and Emergence in Molecular Systems
Stanford CS330: Deep Multi-task & Meta Learning I 2021 I Lecture 16
For more information about Stanford's Artificial Intelligence professional and graduate programs visit: https://stanford.io/ai To follow along with the course, visit: http://cs330.stanford.edu/fall2021/index.html To view all online courses and programs offered by Stanford, visit: http:/
From playlist Stanford CS330: Deep Multi-Task & Meta Learning I Autumn 2021I Professor Chelsea Finn
Anatole von Lilienfeld - Go EAST, young scientist - First principles view on chemical compound space
Recorded 27 January 2023. Anatole von Lilienfeld of the University of Toronto presents "Go EAST, young scientist - First principles view on chemical compound space" at IPAM's Learning and Emergence in Molecular Systems Workshop. Abstract: Many of the most relevant observables of matter dep
From playlist 2023 Learning and Emergence in Molecular Systems
Understanding Matrices and Matrix Notation
In order to do linear algebra, we will have to know how to use matrices. So what's a matrix? It's just an array of numbers listed in a grid of particular dimensions that can represent the coefficients and constants from a system of linear equations. They're fun, I promise! Let's just start
From playlist Mathematics (All Of It)
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
Advances in the MATLAB Editor and Live Editor
Learn about the new features to the MATLAB® Editor and Live Editor and how these improvements will enhance your workflow. -------------------------------------------------------------------------------------------------------- Get a free product trial: https://goo.gl/ZHFb5u Learn more abou
From playlist Tips and Tricks from MATLAB and Simulink Developers
What is a matrix? Free ebook http://tinyurl.com/EngMathYT
From playlist Intro to Matrices
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
The matrix approach to systems of linear equations | Linear Algebra MATH1141 | N J Wildberger
We summarize the matrix approach to solving systems of linear equations involving augmented matrices and row reduction. We also study the consequences of linearity of themultiplication of a matrix and vector. ************************ Screenshot PDFs for my videos are available at the webs
From playlist Higher Linear Algebra
https://bit.ly/PavelPatreon https://lem.ma/LA - Linear Algebra on Lemma http://bit.ly/ITCYTNew - Dr. Grinfeld's Tensor Calculus textbook https://lem.ma/prep - Complete SAT Math Prep
From playlist Part 4 Linear Algebra: Inner Products
We have already looked at the column view of a matrix. In this video lecture I want to expand on this topic to show you that each matrix has a column space. If a matrix is part of a linear system then a linear combination of the columns creates a column space. The vector created by the
From playlist Introducing linear algebra
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
Part IV: Matrix Algebra, Lec 3 | MIT Calculus Revisited: Multivariable Calculus
Part IV: Matrix Algebra, Lecture 3: Inverting a Matrix Instructor: Herbert Gross View the complete course: http://ocw.mit.edu/RES18-007F11 License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
From playlist MIT Calculus Revisited: Multivariable Calculus
Marina Poulet, Université Claude Bernard Lyon 1
December 9, Marina Poulet, Université Claude Bernard Lyon 1 Zariski-dense subgroups of Galois groups for Mahler equations
From playlist Fall 2021 Online Kolchin Seminar in Differential Algebra
Motivating Eigenvalues and Eigenvectors with Differential Equations
This video *derives* the eigenvalues and eigenvectors of a matrix "A" to solve the matrix system of equations dx/dt = A*x. Playlist: https://www.youtube.com/playlist?list=PLMrJAkhIeNNTYaOnVI3QpH7jgULnAmvPA Course Website: http://faculty.washington.edu/sbrunton/me564/ @eigensteve on Tw
From playlist Engineering Math: Differential Equations and Dynamical Systems
PreCalculus - Matrices & Matrix Applications (32 of 33) Using Cramer's Rule to Find x=? y=?
Visit http://ilectureonline.com for more math and science lectures! In this video I will find x=? y=? of systems of 2 linear equations using Cramer's rule. Next video in the Matrices series can be seen at: http://youtu.be/UfwXTMygeVs
From playlist Michel van Biezen: PRECALCULUS 12 - MATRICES
Lecture 8 | Quantum Entanglements, Part 1 (Stanford)
Lecture 8 of Leonard Susskind's course concentrating on Quantum Entanglements (Part 1, Fall 2006). Recorded November 13, 2006 at Stanford University. This Stanford Continuing Studies course is the first of a three-quarter sequence of classes exploring the "quantum entanglements" in mode
From playlist Course | Quantum Entanglements: Part 1 (Fall 2006)