Steam Vacuum - Making/How it Works
A steam vacuum is a vacuum that's create by making steam in a container (I use a microwave and a kettle) and then rapidly cooling it back to water (condensing it), leaving behind a vacuum. This vacuum is a low pressure are that dramatically sucks in more water and, if in a flexible contain
From playlist Science Projects
đ Learn about dilations. Dilation is the transformation of a shape by a scale factor to produce an image that is similar to the original shape but is different in size from the original shape. A dilation that creates a larger image is called an enlargement or a stretch while a dilation tha
From playlist Transformations
How from DC motor to AC generator!!!
In this video i show how from DC motor can make AC current. Enjoy!!!
From playlist ELECTROMAGNETISM
đ Learn about dilations. Dilation is the transformation of a shape by a scale factor to produce an image that is similar to the original shape but is different in size from the original shape. A dilation that creates a larger image is called an enlargement or a stretch while a dilation tha
From playlist Transformations
What is an enlargement dilation
đ Learn about dilations. Dilation is the transformation of a shape by a scale factor to produce an image that is similar to the original shape but is different in size from the original shape. A dilation that creates a larger image is called an enlargement or a stretch while a dilation tha
From playlist Transformations
How from DC motor to AC generator 2!!!
In this video i show how from DC motor can make AC current. Enjoy!!!
From playlist ELECTROMAGNETISM
How to determine the ratio of a reduction dilation
đ Learn about dilations. Dilation is the transformation of a shape by a scale factor to produce an image that is similar to the original shape but is different in size from the original shape. A dilation that creates a larger image is called an enlargement or a stretch while a dilation tha
From playlist Transformations
Overview of functions stretching and shrinking - Online Tutor - Free Math Videos
đ Learn how to determine the transformation of a function. Transformations can be horizontal or vertical, cause stretching or shrinking or be a reflection about an axis. You will see how to look at an equation or graph and determine the transformation. You will also learn how to graph a t
From playlist Characteristics of Functions
What are dilations, similarity and scale factors
đ Learn about dilations. Dilation is the transformation of a shape by a scale factor to produce an image that is similar to the original shape but is different in size from the original shape. A dilation that creates a larger image is called an enlargement or a stretch while a dilation tha
From playlist Transformations
F. Schulze - Mean curvature flow with generic initial data
Mean curvature flow is the gradient flow of the area functional and constitutes a natural geometric heat equation on the space of hypersurfaces in an ambient Riemannian manifold. It is believed, similar to Ricci Flow in the intrinsic setting, to have the potential to serve as a tool to app
From playlist Ecole d'ÊtÊ 2021 - Curvature Constraints and Spaces of Metrics
F. Schulze - Mean curvature flow with generic initial data (version temporaire)
Mean curvature flow is the gradient flow of the area functional and constitutes a natural geometric heat equation on the space of hypersurfaces in an ambient Riemannian manifold. It is believed, similar to Ricci Flow in the intrinsic setting, to have the potential to serve as a tool to app
From playlist Ecole d'ÊtÊ 2021 - Curvature Constraints and Spaces of Metrics
Shrinking targets and eventually always hitting points by Maxim Kirsebom
Program Probabilistic Methods in Negative Curvature ORGANIZERS: Riddhipratim Basu, Anish Ghosh and Mahan Mj DATE: 11 March 2019 to 22 March 2019 VENUE: Madhava Lecture Hall, ICTS, Bangalore The focal area of the program lies at the juncture of three areas: Probability theory o
From playlist Probabilistic Methods in Negative Curvature - 2019
Ben Andrews: Limiting shapes of fully nonlinear flows of convex hypersurfaces
Abstract: I will discuss some questions about the long-time behaviour of hypersurfaces evolving by functions of curvature which are homogeneous of degree greater than 1. ------------------------------------------------------------------------------------------------------------------------
From playlist MATRIX-SMRI Symposium: Singularities in Geometric Flows
Walter Neumann: Lipschitz embedding of complex surfaces
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 Algebraic and Complex Geometry
Shrinking Gradient Kahler-Ricci Solitons and Toric Geometry
Speaker: Charles Cifarelli (UC Berkeley) - Abstract: In this talk, I will present some recent work on the uniqueness of shrinking gradient K\"ahler-Ricci solitons on non-compact toric manifolds. In particular, the familiar Delzant classification holds in this context, and this allows one t
From playlist Informal Geometric Analysis Seminar
Bayesian inference and convex geometry: theory, methods, (...) - Pereyra - Workshop 2 - CEB T1 2019
Marcelo Pereyra (Heriot-Watt Univ.) / 14.03.2019 Bayesian inference and convex geometry: theory, methods, and algorithms. This talk summarises some new developments in theory, methods, and algorithms for performing Bayesian inference in high-dimensional models that are log-concave, with
From playlist 2019 - T1 - The Mathematics of Imaging
MIT 6.849 Geometric Folding Algorithms: Linkages, Origami, Polyhedra, Fall 2012 View the complete course: http://ocw.mit.edu/6-849F12 Instructor: Erik Demaine This lecture presents the fold and cut problem, and both the straight skeleton method and disk-packing method. Simple fold and cut
From playlist MIT 6.849 Geometric Folding Algorithms, Fall 2012
Determining the scale factor of two quadrilaterals
đ Learn about dilations. Dilation is the transformation of a shape by a scale factor to produce an image that is similar to the original shape but is different in size from the original shape. A dilation that creates a larger image is called an enlargement or a stretch while a dilation tha
From playlist Transformations
Stephen Wright: "Sparse and Regularized Optimization, Pt. 1"
Graduate Summer School 2012: Deep Learning, Feature Learning "Sparse and Regularized Optimization, Pt. 1" Stephen Wright, University of Wisconsin-Madison Institute for Pure and Applied Mathematics, UCLA July 17, 2012 For more information: https://www.ipam.ucla.edu/programs/summer-school
From playlist GSS2012: Deep Learning, Feature Learning