Numerically Calculating Partial Derivatives
In this video we discuss how to calculate partial derivatives of a function using numerical techniques. In other words, these partials are calculated without needing an analytical representation of the function. This is useful in situations where the function in question is either too co
From playlist Vector Differential Calculus
(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
Calculus: Newton's Method uses tangent lines to approximate the zeros of a function. We estimate sqrt(3), derive the method, and note some issues with its application.
From playlist Calculus Pt 1: Limits and Derivatives
Chair's Talk -- Conjectures (Vladimir Matveev) & Zoom Talk (Andrey Konyaev): Monday 14 February
SMRI -MATRIX Symposium: Nijenhuis Geometry and Integrable Systems Week 2 (MATRIX),14 February 2022 0:00:00 Chair's Talk -- Conjectures, Vladimir Matveev 0:50:55 Zoom Talk, Andrey Konyaev 1:32:58 Questions from the Audience ----------------------------------------------------------------
From playlist MATRIX-SMRI Symposium: Nijenhuis Geometry and integrable systems
Christian Kuehn (7/25/22): Dynamical Systems for Deep Neural Networks
Abstract: In this talk, I am going to explain several approaches to explain the geometry and dynamics of neural networks. First, I will show, why neural networks should always be viewed within the framework of dynamical systems. Then I am going to show how to employ rigorous validated comp
From playlist Applied Geometry for Data Sciences 2022
11_3_1 The Gradient of a Multivariable Function
Using the partial derivatives of a multivariable function to construct its gradient vector.
From playlist Advanced Calculus / Multivariable Calculus
8ECM Invited Lecture: Burak Özbağcı
From playlist 8ECM Invited Lectures
B. Deroin - Monodromy of algebraic families of curves (Part 1)
The mini-course will focus on the properties of the monodromies of algebraic families of curves defined over the complex numbers. One of the goal will be to prove the irreducibility of those representations for locally varying families (Shiga). If time permit we will see how to apply this
From playlist Ecole d'été 2018 - Teichmüller dynamics, mapping class groups and applications
Polynomial approximation of functions (part 1)
Using a polynomial to approximate a function at f(0). More free lessons at: http://www.khanacademy.org/video?v=sy132cgqaiU
From playlist Calculus
Get the Code Here : http://goo.gl/aNeg5E Best Objective C Book : http://amzn.to/1GjLx6N Support me on Patreon : https://www.patreon.com/derekbanas C Intro 1:40 For Loop 2:37 Main Attributes 3:18 Compiling 4:52 Include 6:06 Data Types 6:17 Scanf / User Input 7:22 Data Type Precision 9:05
From playlist Learn in One Video
Nijenhuis geometry for ECRs: Pre-recorded Lecture 4
Pre-recorded Lecture 4: Nijenhuis geometry for ECRs Date: 10 February 2022 Lecture slides: https://mathematical-research-institute.sydney.edu.au/wp-content/uploads/2022/02/Prerecorded_Lecture4.pdf ---------------------------------------------------------------------------------------------
From playlist MATRIX-SMRI Symposium: Nijenhuis Geometry and integrable systems
Mordell Weil rank jumps and the Hilbert property - Salgado - Workshop 1 - CEB T2 2019
Cecília Salgado (UFRJ) / 21.05.2019 Mordell Weil rank jumps and the Hilbert property We study rank jumps of the Mordell-Weil groups of the fibres of elliptic surfaces. I will discuss the cases for which we show that the set for which the rank jumps is not thin. This is a work in progres
From playlist 2019 - T2 - Reinventing rational points
This video explains Newton's Method and provides an example. It also shows how to use the table feature of the graphing calculator to perform the calculations needed for Newton's Method. http://mathispower4u.wordpress.com/
From playlist Newton’s Method and L’Hopital’s Rule
Linear Approximations and Differentials
Linear Approximation In this video, I explain the concept of a linear approximation, which is just a way of approximating a function of several variables by its tangent planes, and I illustrate this by approximating complicated numbers f without using a calculator. Enjoy! Subscribe to my
From playlist Partial Derivatives
Seminar on Applied Geometry and Algebra (SIAM SAGA): Bernd Sturmfels
Date: Tuesday, February 9 at 11:00am EST (5:00pm CET) Speaker: Bernd Sturmfels, MPI MiS Leipzig / UC Berkeley Title: Linear Spaces of Symmetric Matrices. Abstract: Real symmetric matrices appear ubiquitously across the mathematical sciences, and so do linear spaces of such matrices. We
From playlist Seminar on Applied Geometry and Algebra (SIAM SAGA)
Year 12/AS Statistics Chapter 1.1 1.2 (Data Collection)
This lesson introduces collecting data for A-Level statistics. We start off by defining some important terms before quickly moving on to talking about random sampling. The three main random sampling techniques are explained in detail, and advantages and disadvantages are each are then su
From playlist Year 12/AS Edexcel (8MA0) Mathematics: FULL COURSE
Sketching Functions - Ultimate revision guide for Further maths GCSE
Sketching Functions - Algebra section of the Ultimate Guide to Further maths GCSE (level 2 Qualification from AQA) 2.01 The Basics https://www.youtube.com/watch?v=mOFa4udMV7U 2.02 Definition of a function https://www.youtube.com/watch?v=A6z5-V8cs2o 2.03 Domain and Range of a Function 2.0
From playlist Ultimate Guide to Further Maths GCSE
Newton's method for finding zeroes | Real numbers and limits Math Foundations 83 | N J Wildberger
Newton, the towering scientific figure of the 17th century, discovered a lovely method for finding approximate solutions to equations, involving iterated constructions of tangent lines and their intersections. We describe this method in general and then apply it to the simplest and most fa
From playlist Math Foundations
Rayleigh Quotient Based Numerical Methods for Eigenvalue Problems Lecture 5
Ren-Cang Li from UT presents: Rayleigh Quotient Based Numerical Methods for Eigenvalue Problems; Lecture 5
From playlist Gene Golub SIAM Summer School Videos