LyX (styled as LYX; pronounced [ˈlɪks]) (Based on 3 developers, they say it can be pronounced "Licks", "Lucks" and "Leeks") is an open source, graphical user interface document processor based on the LaTeX typesetting system. Unlike most word processors, which follow the WYSIWYG ("what you see is what you get") paradigm, LyX has a WYSIWYM ("what you see is what you mean") approach, where what shows up on the screen roughly depicts the semantic structure of the page and is only an approximation of the document produced by TeX. Since LyX relies on the typesetting system of LaTeX without being a full-fledged LaTeX editor itself, it has the power and flexibility of LaTeX, and can handle documents including books, notes, theses, academic papers, letters, etc. LyX's interface is structured so that while knowledge of the LaTeX markup language is not necessary for basic usage, new LaTeX directives can be added into the document to support more complex features during editing — though not at the level of full control a full-fledged LaTeX editor can provide. LyX is popular among technical authors and scientists for its advanced mathematical modes, though it is increasingly used by non-mathematically-oriented scholars as well for its bibliographic database integration and its ability to manage multiple files. LyX has also become a popular publishing tool among self-publishers. LyX is available for all major operating systems, including Windows, MacOS, Linux, UNIX, ChromeOS, OS/2 and Haiku. LyX can be redistributed and modified under the terms of the GNU General Public License and is thus free software. (Wikipedia).
A 10' overview of the LHC project and its research plans
From playlist The Large Hadron Collider
GeoGebra 3D Calculator: When to Use?
GeoGebra 3D Calculator is one of the five apps in Calculator Suite. https://www.geogebra.org/calculator
From playlist GeoGebra Apps Intro: Which to USE?
Yves Achdou: Numerical methods for mean field games - Introduction to the system of PDEs and...
Abstract: Recently, an important research activity on mean field games (MFGs for short) has been initiated by the pioneering works of Lasry and Lions: it aims at studying the asymptotic behavior of stochastic differential games (Nash equilibria) as the number n of agents tends to infinity.
From playlist Numerical Analysis and Scientific Computing
The Euclidean plane, continued -- College Algebra
This lecture is on College Algebra. It follows the introductory part of the book Calculus Illustrated by Peter Saveliev. The text of the book can be found at http://calculus123.com.
From playlist College Algebra
A very quick demo of how to access the 2D and 3D calculator on Geogebra.
From playlist Geogebra
GeoGebra Geometry App: When to Use?
GeoGebra Geometry is one of the five apps in calculator Suite https://www.geogebra.org/calculator
From playlist GeoGebra Apps Intro: Which to USE?
GeoGebra Scientific Calculator: When to Use?
GeoGebra Scientific Calculator is a free easy-to-use version of a standard handled scientific calculator. https://www.geogebra.org/scientific
From playlist GeoGebra Apps Intro: Which to USE?
Link: https://www.geogebra.org/m/D4hmNy9M
From playlist 3D: Dynamic Interactives!
AWESOME Bicycle wheel gyroscope (science experiments)
Physics (la physique)(science experiments)
From playlist MECHANICS
3D Composite Solid Modeling in GeoGebra 3D
Just for fun: Composite solid modeling in #GeoGebra #3d & #AugmentedReality using geometric transformations. https://www.geogebra.org/m/thjnm4zc #MTBoS #ITeachMath #math #maths #EdTech #mathematics #geometry #HSMath #HSMathChat #GeomChat
From playlist GeoGebra 3D with AR (iOS): Explorations, Demos, and Lesson Ideas
Stanford CS229M - Lecture 8: Refined generalization bounds for neural nets, Kernel methods
For more information about Stanford's Artificial Intelligence professional and graduate programs visit: https://stanford.io/ai Lecture 8: Refined generalization bounds for neural nets, connection to Kernel methods. Covering number approach, VC dimension To follow along with the course,
From playlist Stanford CS229M: Machine Learning Theory - Fall 2021