Numerical artefacts | Numerical differential equations
Numerical diffusion is a difficulty with computer simulations of continua (such as fluids) wherein the simulated medium exhibits a higher diffusivity than the true medium. This phenomenon can be particularly egregious when the system should not be diffusive at all, for example an ideal fluid acquiring some spurious viscosity in a numerical model. (Wikipedia).
Explicit Methods for Solving the Diffusion Equation | Lecture 69 | Numerical Methods for Engineers
Derivation of the forward-time centered-space (FTCS) method for solving the one-dimensional diffusion 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
From playlist Numerical Methods for Engineers
Project VI: Two-Dimensional Diffusion Equation | Lecture 74 | Numerical Methods for Engineers
A discussion about a MATLAB code to solve the two-dimensional diffusion equation using the Crank-Nicolson 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
From playlist Numerical Methods for Engineers
Implicit Methods for Solving the Diffusion Equation | Lecture 71 | Numerical Methods for Engineers
Von Neumann stability analysis of an implicit method for solving the one-dimensional diffusion 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
Crank-Nicolson Method for the Diffusion Equation | Lecture 72 | Numerical Methods for Engineers
How to construct the Crank-Nicolson method for solving the one-dimensional diffusion 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 channel: htt
From playlist Numerical Methods for Engineers
Diffusion equation (separation of variables) | Lecture 53 | Differential Equations for Engineers
Solution of the diffusion equation (heat equation) by the method of separation of variables. Here, the first step is to separate the variables. Join me on Coursera: https://www.coursera.org/learn/differential-equations-engineers Lecture notes at http://www.math.ust.hk/~machas/different
From playlist Differential Equations for Engineers
Diffusion equation (Fourier series) | Lecture 55 | Differential Equations for Engineers
Solution of the diffusion equation (heat equation). Here, we satisfy the initial conditions using a Fourier series. Join me on Coursera: https://www.coursera.org/learn/differential-equations-engineers Lecture notes at http://www.math.ust.hk/~machas/differential-equations-for-engineers.p
From playlist Differential Equations for Engineers
Chemistry of Gases (35 of 40) Diffusion of Gases: Basics
Visit http://ilectureonline.com for more math and science lectures! In this video I will explain the basics of the diffusion of gases.
From playlist CHEMISTRY 10 THE CHEMISTRY OF GASES
Superdiffusive Hydrodynamics In Isotropic Quantum Spin Chains by Romain Vasseur
DISCUSSION MEETING : HYDRODYNAMICS AND FLUCTUATIONS - MICROSCOPIC APPROACHES IN CONDENSED MATTER SYSTEMS (ONLINE) ORGANIZERS : Abhishek Dhar (ICTS-TIFR, India), Keiji Saito (Keio University, Japan) and Tomohiro Sasamoto (Tokyo Institute of Technology, Japan) DATE : 06 September 2021 to 1
From playlist Hydrodynamics and fluctuations - microscopic approaches in condensed matter systems (ONLINE) 2021
Solving a system of equations with infinite many solutions
👉Learn how to solve a system (of equations) by elimination. A system of equations is a set of equations which are collectively satisfied by one solution of the variables. The elimination method of solving a system of equations involves making the coefficient of one of the variables to be e
From playlist Solve a System of Equations Using Elimination | Medium
Integrable and Near-integrable Spin Chains in Theory and Reality by Joel Moore
DISCUSSION MEETING : HYDRODYNAMICS AND FLUCTUATIONS - MICROSCOPIC APPROACHES IN CONDENSED MATTER SYSTEMS (ONLINE) ORGANIZERS : Abhishek Dhar (ICTS-TIFR, India), Keiji Saito (Keio University, Japan) and Tomohiro Sasamoto (Tokyo Institute of Technology, Japan) DATE : 06 September 2021 to
From playlist Hydrodynamics and fluctuations - microscopic approaches in condensed matter systems (ONLINE) 2021
Anomalous spin diffusion in one-dimensional antiferromagnets by Jacopo De Nardis
PROGRAM THERMALIZATION, MANY BODY LOCALIZATION AND HYDRODYNAMICS ORGANIZERS: Dmitry Abanin, Abhishek Dhar, François Huveneers, Takahiro Sagawa, Keiji Saito, Herbert Spohn and Hal Tasaki DATE : 11 November 2019 to 29 November 2019 VENUE: Ramanujan Lecture Hall, ICTS Bangalore How do is
From playlist Thermalization, Many Body Localization And Hydrodynamics 2019
Stable Models and Algorithms for Backward Diffusion Evolutions - Weickert - Workshop 1-CEB T1 2019
Weickert (Saarland University) / 04.02.2019 Stable Models and Algorithms for Backward Diffusion Evolutions Backward diffusion equations are potentially useful for image enhancement and deblurring. However, these processes are regarded as typical representatives for ill-posed problems t
From playlist 2019 - T1 - The Mathematics of Imaging
Anomalous transport in one-dimensional quantum systems by Vir Bulchandani
PROGRAM THERMALIZATION, MANY BODY LOCALIZATION AND HYDRODYNAMICS ORGANIZERS: Dmitry Abanin, Abhishek Dhar, François Huveneers, Takahiro Sagawa, Keiji Saito, Herbert Spohn and Hal Tasaki DATE : 11 November 2019 to 29 November 2019 VENUE: Ramanujan Lecture Hall, ICTS Bangalore How do is
From playlist Thermalization, Many Body Localization And Hydrodynamics 2019
Solutal Convection in Porous Media
Date and Time: Thursday, October 14, 12:00pm Eastern time zone Speaker: Marc Hesse, University of Texas at Austin Abstract: Solutal convection in porous media is thought to be controlled by the molecular Rayleigh number, Ram, the ratio of the buoyant driving force over dissipation by mole
From playlist SIAM Geosciences Webinar Series
On the numerical integration of the Lorenz-96 model... - Grudzien - Workshop 2 - CEB T3 2019
Grudzien (U Nevada in Reno, USA) / 13.11.2019 On the numerical integration of the Lorenz-96 model, with scalar additive noise, for benchmark twin experiments ---------------------------------- Vous pouvez nous rejoindre sur les réseaux sociaux pour suivre nos actualités. Facebook
From playlist 2019 - T3 - The Mathematics of Climate and the Environment
MATLAB Solution of the Diffusion Equation | Lecture 73 | Numerical Methods for Engineers
How to write a MATLAB code to solve the diffusion equation using the Crank-Nicolson 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
Li Wang: An asymptotic preserving method for Levy Fokker Planck equation with fractional...
CIRM VIRTUAL EVENT Recorded during the meeting "Kinetic Equations: from Modeling, Computation to Analysis" the March 23, 2021 by the Centre International de Rencontres Mathématiques (Marseille, France) Filmmaker: Guillaume Hennenfent Find this video and other talks given by worldwide m
From playlist Virtual Conference
Diffusive Back and Forth Nudging algorithm - Didier Auroux
PROGRAM: Data Assimilation Research Program Venue: Centre for Applicable Mathematics-TIFR and Indian Institute of Science Dates: 04 - 23 July, 2011 DESCRIPTION: Data assimilation (DA) is a powerful and versatile method for combining observational data of a system with its dynamical mod
From playlist Data Assimilation Research Program
GCSE Science Revision Biology "Diffusion"
Find my revision workbooks here: https://www.freesciencelessons.co.uk/workbooks/ In this video, we look at diffusion. I take you through the concept of diffusion and then we look at three factors that affect the rate of diffusion. Image credits: All images were created by and are the pro
From playlist 9-1 GCSE Biology Paper 1 Cell Biology