Computational fluid dynamics | Numerical differential equations
In numerical solution of differential equations, WENO (weighted essentially non-oscillatory) methods are classes of high-resolution schemes. WENO are used in the numerical solution of hyperbolic partial differential equations. These methods were developed from ENO methods (essentially non-oscillatory). The first WENO scheme was developed by Liu, Osher and Chan in 1994. In 1996, Guang-Sh and Chi-Wang Shu developed a new WENO scheme called WENO-JS. Nowadays, there are many WENO methods. (Wikipedia).
Substitution Method, Systems of Linear Equations
Shows how to solve systems of linear equations use substitution. Includes a brief description of the method and three worked examples. You can link to all my videos at my website: https://www.stepbystepscience.com
From playlist Algebra; Linear Equations
Linear Algebra: Continuing with function properties of linear transformations, we recall the definition of an onto function and give a rule for onto linear transformations.
From playlist MathDoctorBob: Linear Algebra I: From Linear Equations to Eigenspaces | CosmoLearning.org Mathematics
You Can't Run From Momentum! (a momentum introduction)
Two kids walk through the woods discussing momentum. I mean, who wouldn’t? Okay, fine. It’s a basic introduction to the concept of momentum. Want Lecture Notes? http://www.flippingphysics.com/momentum.html Next Video: Force of Impact Equation Derivation http://www.flippingphysics.com/imp
From playlist Momentum - A Level Physics
Matrices in MATLAB | Lecture 7 | Numerical Methods for Engineers
How to construct and operate with matrices in MATLAB. 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.youtube.com/user/jchasnov?sub_con
From playlist Numerical Methods for Engineers
Francis Filbet: Numerical simulation of the Vlasov-Poisson model with an external magnetic field
Find this video and other talks given by worldwide mathematicians on CIRM's Audiovisual Mathematics Library: http://library.cirm-math.fr. And discover all its functionalities: - Chapter markers and keywords to watch the parts of your choice in the video - Videos enriched with abstracts, b
From playlist Mathematical Physics
Quantum Mechanics 12a - Dirac Equation I
When quantum mechanics and relativity are combined to describe the electron the result is the Dirac equation, presented in 1928. This equation predicts electron spin and the existence of anti-matter.
From playlist Quantum Mechanics
Engineering CEE 20: Engineering Problem Solving. Lecture 13
UCI CIvil & Environmental Engineering 20 Engineering Problem Solving (Spring 2013) Lec 13. Engineering Problem Solving -- View the complete course: http://ocw.uci.edu/courses/cee_20_introduction_to_computational_engineering_problem_solving.html Instructor: Jasper Alexander Vrugt, Ph.D.
From playlist Engineering CEE 20: Engineering Problem Solving
Lecture 2 | Image Classification
Lecture 2 formalizes the problem of image classification. We discuss the inherent difficulties of image classification, and introduce data-driven approaches. We discuss two simple data-driven image classification algorithms: K-Nearest Neighbors and Linear Classifiers, and introduce the con
From playlist Lecture Collection | Convolutional Neural Networks for Visual Recognition (Spring 2017)
React Native - Lecture 3 - CS50's Mobile App Development with React Native 2018
00:00:00 - Introduction 00:00:56 - React Native 00:02:38 - UI/JS Bridge 00:04:04 - snack.expo.io 00:07:52 - Differences Between React Native and the Web 00:09:09 - React Native Components 00:10:41 - todoApp4.js 00:15:47 - Style 00:21:17 - StyleSheet 00:24:51 - Event Handling 00:32:05 - Com
From playlist CS50's Mobile App Development with React Native 2018
The matrix approach to systems of linear equations | Linear Algebra MATH1141 | N J Wildberger
We summarize the matrix approach to solving systems of linear equations involving augmented matrices and row reduction. We also study the consequences of linearity of themultiplication of a matrix and vector. ************************ Screenshot PDFs for my videos are available at the webs
From playlist Higher Linear Algebra
Linear algebra: Prove the Sherman-Morrison formula for computing a matrix inverse
This is part of an online course on beginner/intermediate linear algebra, which presents theory and implementation in MATLAB and Python. The course is designed for people interested in applying linear algebra to applications in multivariate signal processing, statistics, and data science.
From playlist Linear algebra: theory and implementation
Solving a SLE in 3 Variables with Row Operations 1
Linear Algebra: We solve a system of three linear equations in three variables using row operations. In this Part, we give a procedure for row reduction and give an example using coefficients of 0 and 1.
From playlist MathDoctorBob: Linear Algebra I: From Linear Equations to Eigenspaces | CosmoLearning.org Mathematics
Elimination Method, Systems of Linear Equations, No. 1
Shows how to solve systems of linear equations using the elimination method. Includes a short description of the method and three worked examples. You can link to all my videos at my website: https://www.stepbystepscience.com
From playlist Algebra; Linear Equations
TABLE OF CONTENTS 00:00:00 - Introduction 00:07:41 - git 00:11:00 - GitHub 00:12:31 - git clone 00:15:06 - git add 00:16:01 - git commit 00:17:40 - git status 00:18:42 - git push 00:20:01 - git pull 00:22:53 - Merge Conflicts 00:27:19 - git log 00:27:54 - git reset 00:35:44 - hello.html 0
From playlist CS50's Web Programming with Python and JavaScript
Linear regression is used to compare sets or pairs of numerical data points. We use it to find a correlation between variables.
From playlist Learning medical statistics with python and Jupyter notebooks
Vector and matrix forms for systems of linear equations | Linear Algebra MATH1141 | N J Wildberger
A system of linear equations may also be viewed in vector form, as an attempt to write one vector as a linear combination of other vectors. Or it more alternatively be viewed in matrix form. We discuss the matrix of coefficients, the vector of variables and the vector of constants. Puttin
From playlist Higher Linear Algebra
RubyConf 2021 - Control methods like a pro: A guide to Ruby's awesomeness, ... by Masafumi Okura
Control methods like a pro: A guide to Ruby's awesomeness, a.k.a. metaprogramming by Masafumi Okura Do you know that methods are objects in Ruby? We can manipulate method objects just like other object, meaning that we can store them in variables, get information from them and wrap them i
From playlist RubyConf 2021
RubyConf 2015 - Messenger: The (Complete) Story of Method Lookup by Jay McGavren
Messenger: The (Complete) Story of Method Lookup by Jay McGavren You call a method on an object, and it invokes the instance method defined on the class. Simple. Except when the method isn't on the class itself, because it's inherited from a superclass. Or a singleton class, mixin, or ref
From playlist RubyConf 2015
Linear Algebra 11q: Algorithm for Calculating the Inverse Matrix
https://bit.ly/PavelPatreon https://lem.ma/LA - Linear Algebra on Lemma http://bit.ly/ITCYTNew - Dr. Grinfeld's Tensor Calculus textbook https://lem.ma/prep - Complete SAT Math Prep
From playlist Part 1 Linear Algebra: An In-Depth Introduction with a Focus on Applications
RubyConf 2015 - Ruby 2 Methodology by Akira Matsuda
Ruby 2 Methodology by Akira Matsuda This talk focuses on "Method" in Ruby. Although Method is the key feature of an OOP language like Ruby, Ruby's Method is still drastically evolving. This session is a quick tour on new features and changes around Method in recent versions of the Ruby l
From playlist RubyConf 2015