This video explains what information the gradient provides about a given function. http://mathispower4u.wordpress.com/
From playlist Functions of Several Variables - Calculus
A new and robust approach to construct energy stable schemes for gradient flows
Jie Shen Purdue University, USA
From playlist 2018 Modeling and Simulation of Interface Dynamics in Fluids/Solids and Their Applications
What is Gradient, and Gradient Given Two Points
"Find the gradient of a line given two points."
From playlist Algebra: Straight Line Graphs
Introduction to Gradient (2 of 2: Reading & Interpreting Graphs)
More resources available at www.misterwootube.com
From playlist Linear Relationships
What Does the Gradient Vector Mean Intuitively?
What Does the Gradient Vector Mean Intuitively? 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 Calculus 3
Download the free PDF http://tinyurl.com/EngMathYT A basic tutorial on the gradient field of a function. We show how to compute the gradient; its geometric significance; and how it is used when computing the directional derivative. The gradient is a basic property of vector calculus. NOT
From playlist Engineering Mathematics
Find the Gradient Vector Field of f(x,y)=x^3y^5
This video explains how to find the gradient of a function. It also explains what the gradient tells us about the function. The gradient is also shown graphically. http://mathispower4u.com
From playlist The Chain Rule and Directional Derivatives, and the Gradient of Functions of Two Variables
Introduction to Gradient Descent
An introduction to gradient descent. See also https://youtu.be/W2pSn_t0KYs
From playlist gradient_descent
Are all vector fields the gradient of a potential? ... and the Helmholtz Decomposition
This video asks a classic question: are all vector fields the gradient of a potential field? The answer is no, but by understanding why, we prepare ourselves for potential flows in the next videos. @eigensteve on Twitter eigensteve.com databookuw.com %%% CHAPTERS %%% 0:00 Introducti
From playlist Engineering Math: Vector Calculus and Partial Differential Equations
Jan Maas: Optimal transport methods for discrete and quantum systems (part 1)
Optimal transport has become a powerful tool to attack non-smooth problems in analysis and geometry. A key role is played by the 2-Wasserstein metric, which induces a rich geometric structure on the space of probability measures. This structure allows to obtain gradient flow structures for
From playlist HIM Lectures 2015
Global existence and convergence of solutions to gradient systems and applications... - Feehan
Analysis Seminar Topic:Global existence and convergence of solutions to gradient systems and applications to Yang-Mills flow Speaker: Paul Feehan Date: Wednesday, February 24 We discuss our results on global existence and convergence of solutions to the gradient flow equation for the Yang
From playlist Mathematics
A geometric integration approach to non-smooth (...) - Schoenlieb/Riis - Workshop 1 - CEB T1 2019
Schoenlieb/Riis (University of Cambridge) / 04.02.2019 A geometric integration approach to non-smooth and non-convex optimisation The optimisation of nonsmooth, nonconvex functions without access to gradients is a particularly challenging problem that is frequently encountered, for exam
From playlist 2019 - T1 - The Mathematics of Imaging
The thresholding scheme for mean curvature flow as minimizing movement scheme - 1
Speaker: Felix Otto (Max Planck Institute for Mathematics in the Sciences in Leipzig) International School on Extrinsic Curvature Flows | (smr 3209) 2018_06_12-15_45-smr3209
From playlist Felix Otto: "The thresholding scheme for mean curvature flow as minimizing movement scheme", ICTP, 2018
Worldwide Calculus: Vector Fields
Lecture on 'Vector Fields' from 'Worldwide Multivariable Calculus'. For more lecture videos and $10 digital textbooks, visit www.centerofmath.org.
From playlist Integration and Vector Fields
Mohammad Farazmand: "Accelerated Gradient Optimization: A Multiscale Analysis"
Machine Learning for Physics and the Physics of Learning 2019 Workshop III: Validation and Guarantees in Learning Physical Models: from Patterns to Governing Equations to Laws of Nature "Accelerated Gradient Optimization: A Multiscale Analysis" Mohammad Farazmand - North Carolina State Un
From playlist Machine Learning for Physics and the Physics of Learning 2019
An Almost-Linear-Time Algorithm for Approximate Max Flow in Undirected Graphs... - Jonathan Kelner
Jonathan Kelner Massachusetts Institute of Technology February 24, 2014 In this talk, I will describe a new framework for approximately solving flow problems in capacitated, undirected graphs, and I will apply it to find approximately maximum s-t flows in almost-linear time, improving on t
From playlist Mathematics
Energy-Momentum Tensor on the Lattice by Masakiyo Kitazawa
DISCUSSION MEETING EXTREME NONEQUILIBRIUM QCD (ONLINE) ORGANIZERS: Ayan Mukhopadhyay (IIT Madras) and Sayantan Sharma (IMSc Chennai) DATE & TIME: 05 October 2020 to 09 October 2020 VENUE: Online Understanding quantum gauge theories is one of the remarkable challenges of the millennium
From playlist Extreme Nonequilibrium QCD (Online)
Gradient (1 of 3: Developing the formula)
More resources available at www.misterwootube.com
From playlist Further Linear Relationships
Laplace's Equation and Potential Flow
Potential flows are an important class of fluid flows that are incompressible and irrotational. They are found by solving Laplace's equation, which is one of the most important PDEs in all of mathematical physics. @eigensteve on Twitter eigensteve.com databookuw.com %%% CHAPTERS %
From playlist Engineering Math: Vector Calculus and Partial Differential Equations