Epsilon delta limit (Example 3): Infinite limit at a point
This is the continuation of the epsilon-delta series! You can find Examples 1 and 2 on blackpenredpen's channel. Here I use an epsilon-delta argument to calculate an infinite limit, and at the same time I'm showing you how to calculate a right-hand-side limit. Enjoy!
From playlist Calculus
Introduction to the Dirac Delta Function
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From playlist Differential Equations
Calculus - Find the limit of a function using epsilon and delta
This video shows how to use epsilon and delta to prove that the limit of a function is a certain value. This particular video uses a linear function to highlight the process and make it easier to understand. Later videos take care of more complicated functions and using epsilon and delta
From playlist Calculus
We introduce the idea of Euler's Method for solving differential equations, and solve a few steps of a simple example using the technique.
From playlist Mathematical Physics I Uploads
Laplace transform method for solving delta function inhomogeneous terms
Illustrates the solution of an inhomgeneous, second-order, constant-coefficient ode using the Laplace transform method. Here the inhomogeneous term is a Dirac delta function. Free books: http://bookboon.com/en/differential-equations-with-youtube-examples-ebook http://www.math.ust.hk/~mac
From playlist Differential Equations with YouTube Examples
Calculus 3.03f - Derivative Example 6
Another of example of finding a derivative using the definition of the derivative.
From playlist Calculus Ch 3 - Derivatives
Finding Derivatives Using the Limit Definition
http://mathispower4u.wordpress.com/
From playlist Differentiation
We introduce Euler's method for solving differential equations, and discuss what that looks like in "computer world" as code. (Code is based on SageMath language.)
From playlist Mathematical Physics I Uploads
Project II: Feigenbaum Delta (Part B) | Lecture 22 | Numerical Methods for Engineers
A continuation of how to compute the Feigenbaum delta from the superstable cycles of the logistic map. Join me on Coursera: https://www.coursera.org/learn/numerical-methods-engineers Lecture notes at http://www.math.ust.hk/~machas/numerical-methods-for-engineers.pdf Subscribe to my chan
From playlist Numerical Methods for Engineers
Lec 2 | MIT 18.086 Mathematical Methods for Engineers II
Finite Differences, Accuracy, Stability, Convergence View the complete course at: http://ocw.mit.edu/18-086S06 License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
From playlist MIT 18.086 Mathematical Methods for Engineers II, Spring '06
Lec 10 | MIT Finite Element Procedures for Solids and Structures, Linear Analysis
Lecture 10: Solution of equilibrium equations in dynamic analysis Instructor: Klaus-Jürgen Bathe View the complete course: http://ocw.mit.edu/RES2-002S10 License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
From playlist MIT Linear Finite Element Analysis
Lec 3 | MIT 18.086 Mathematical Methods for Engineers II
The One-way Wave Equation and CFL / von Neumann Stability View the complete course at: http://ocw.mit.edu/18-086S06 License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
From playlist MIT 18.086 Mathematical Methods for Engineers II, Spring '06
Adaptive Runge-Kutta Methods | Lecture 54 | Numerical Methods for Engineers
How MATLAB decides on the appropriate time step for the ode integrator ode45.m. Join me on Coursera: https://www.coursera.org/learn/numerical-methods-engineers Lecture notes at http://www.math.ust.hk/~machas/numerical-methods-for-engineers.pdf Subscribe to my channel: http://www.youtu
From playlist Numerical Methods for Engineers
Modified Euler Method | Lecture 49 | Numerical Methods for Engineers
Explanation of the modified Euler method (predictor-corrector) method for solving an ordinary differential equation. This is a second-order Runge-Kutta method. Join me on Coursera: https://www.coursera.org/learn/numerical-methods-engineers Lecture notes at http://www.math.ust.hk/~machas
From playlist Numerical Methods for Engineers
Higher-order Runge-Kutta Methods | Lecture 52 | Numerical Methods for Engineers
A discussion of higher-order Runge-Kutta methods, including the popular fourth-order method. Join me on Coursera: https://www.coursera.org/learn/numerical-methods-engineers Lecture notes at http://www.math.ust.hk/~machas/numerical-methods-for-engineers.pdf Subscribe to my channel: http
From playlist Numerical Methods for Engineers
Lec 10 | MIT Finite Element Procedures for Solids and Structures, Nonlinear Analysis
Lecture 10: Solution of Nonlinear Static FE Equations I Instructor: Klaus-Jürgen Bathe View the complete course: http://ocw.mit.edu/RES2-002S10 License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
From playlist MIT Nonlinear Finite Element Analysis
Runge Kutta Methods | Lecture 50 | Numerical Methods for Engineers
How to derive the family of second-order Runge-Kutta methods for solving an ordinary differential equation. Join me on Coursera: https://www.coursera.org/learn/numerical-methods-engineers Lecture notes at http://www.math.ust.hk/~machas/numerical-methods-for-engineers.pdf Subscribe to my
From playlist Numerical Methods for Engineers
Lec 1 | MIT 18.086 Mathematical Methods for Engineers II
Difference Methods for Ordinary Differential Equations View the complete course at: http://ocw.mit.edu/18-086S06 License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
From playlist MIT 18.086 Mathematical Methods for Engineers II, Spring '06
How to Compute Delta y and the Differential dy
How to Compute Delta y and the Differential dy If you enjoyed this video please consider liking, sharing, and subscribing. You can also help support my channel by becoming a member https://www.youtube.com/channel/UCr7lmzIk63PZnBw3bezl-Mg/join Thank you:)
From playlist Differentials
Lec 18 | MIT 18.085 Computational Science and Engineering I
Finite difference methods: stability and convergence A more recent version of this course is available at: http://ocw.mit.edu/18-085f08 License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
From playlist MIT 18.085 Computational Science & Engineering I, Fall 2007