B06 Example problem with separable variables
Solving a differential equation by separating the variables.
From playlist Differential Equations
C49 Example problem solving a system of linear DEs Part 1
Solving an example problem of a system of linear differential equations, where one of the equations is not homogeneous. It's a long problem, so this is only part 1.
From playlist Differential Equations
C56 Continuation of previous problem
Adding a bit more depth to the previous problem.
From playlist Differential Equations
B04 Example problem with separable variables
Solving a differential equation by separating the variables.
From playlist Differential Equations
B07 Example problem with separable variables
Solving a differential equation by separating the variables.
From playlist Differential Equations
The Derivative of a Constant Example with y = 2
The Derivative of a Constant Example with y = 2
From playlist Random calculus problems:)
A18 Example problem using variation of parameters
An example problem using the method of variation of parameters to solve a non homogeneous system of differential equations.
From playlist A Second Course in Differential Equations
Dmitriy Zhuk: Quantified constraint satisfaction problem: towards the classification of complexity
HYBRID EVENT Recorded during the meeting "19th International Conference on Relational and Algebraic Methods in Computer Science" the November 2, 2021 by the Centre International de Rencontres Mathématiques (Marseille, France) Filmmaker: Guillaume Hennenfent Find this video and other t
From playlist Virtual Conference
Optimal shape and location of sensors or actuators in PDE models – Emmanuel Trélat – ICM2018
Control Theory and Optimization Invited Lecture 16.1 Optimal shape and location of sensors or actuators in PDE models Emmanuel Trélat Abstract: We report on a series of works done in collaboration with Y. Privat and E. Zuazua, concerning the problem of optimizing the shape and location o
From playlist Control Theory and Optimization
Engineering MAE 91. Intro to Thermodynamics. Lecture 07.
UCI MAE 91: Introduction to Thermodynamics (Spring 2013). Lec 07. Intro to Thermodynamics -- Ideal Gases -- View the complete course: http://ocw.uci.edu/courses/mae_91_introduction_to_thermal_dynamics.html Instructor: Roger Rangel, Ph.D. License: Creative Commons CC-BY-SA Terms of Use: ht
From playlist Engineering MAE 91. Intro to Thermodynamics
Donatella Marini: Virtual element approximation of magnetostatic
We present a lowest order Serendipity Virtual Element method, and show its use for the numerical solution of linear magneto-static problems in three dimensions. The method can be applied to very general decompositions of the computational domain (as is natural for Virtual Element Methods)
From playlist Numerical Analysis and Scientific Computing
Bifurcating conformal metrics with constant Q-curvature - Renato Bettiol
More videos on http://video.ias.edu
From playlist Variational Methods in Geometry
Solve Laplace's PDE: separation of variables
How to solve Laplace's PDE via the method of separation of variables. An example is discussed and solved.
From playlist Differential equations
How To Solve Simple Harmonic Motion Problems In Physics
This physics video tutorial provides a basic introduction into how to solve simple harmonic motion problems in physics. It explains how to calculate the frequency, period, spring constant and the angular frequency of a mass-spring system. It also explains how to find the amplitude and fr
From playlist New Physics Video Playlist
What Is General Relativity? Lesson 28: The Classical Central Force Problem - Orbit shape
What Is General Relativity? Lesson 28: The Classical Central Force Problem - Orbit shape Please consider supporting this channel via Patreon: https://www.patreon.com/XYLYXYLYX and discussing the material on the forums: https://www.patreon.com/XYLYXYLYX
From playlist What is General Relativity?
HTE: Confounding-Robust Estimation
Professor Stefan Wager discusses general principles for the design of robust, machine learning-based algorithms for treatment heterogeneity in observational studies, as well as the application of these principles to design more robust causal forests (as implemented in GRF).
From playlist Machine Learning & Causal Inference: A Short Course
A Critical Look at Proportional Relationships
From playlist Eureka Math Grade 8 Module 4
A first example problem solving a linear, second-order, homogeneous, ODE with variable coefficients around a regular singular point.
From playlist Differential Equations