Determine if a Function is a Polynomial Function
This video explains how to determine if a function is a polynomial function. http://mathispower4u.com
From playlist Determining the Characteristics of Polynomial Functions
What are bounded functions and how do you determine the boundness
👉 Learn about the characteristics of a function. Given a function, we can determine the characteristics of the function's graph. We can determine the end behavior of the graph of the function (rises or falls left and rises or falls right). We can determine the number of zeros of the functi
From playlist Characteristics of Functions
In this video we cover some rational function fundamentals, including asymptotes and interecepts.
From playlist Polynomial Functions
Define a linear function. Determine if a linear function is increasing or decreasing. Interpret linear function models. Determine linear functions. Site: http://mathispower4u.com
From playlist Introduction to Functions: Function Basics
In this video we look at some formal definitions of polynomial division.
From playlist Polynomial Functions
Definition of a Surjective Function and a Function that is NOT Surjective
We define what it means for a function to be surjective and explain the intuition behind the definition. We then do an example where we show a function is not surjective. Surjective functions are also called onto functions. Useful Math Supplies https://amzn.to/3Y5TGcv My Recording Gear ht
From playlist Injective, Surjective, and Bijective Functions
Functions of equations - IS IT A FUNCTION
👉 Learn how to determine whether relations such as equations, graphs, ordered pairs, mapping and tables represent a function. A function is defined as a rule which assigns an input to a unique output. Hence, one major requirement of a function is that the function yields one and only one r
From playlist What is the Domain and Range of the Function
Cecilia Clementi: "Learning molecular models from simulation and experimental data"
Machine Learning for Physics and the Physics of Learning 2019 Workshop II: Interpretable Learning in Physical Sciences "Learning molecular models from simulation and experimental data" Cecilia Clementi - Rice University Institute for Pure and Applied Mathematics, UCLA October 14, 2019 F
From playlist Machine Learning for Physics and the Physics of Learning 2019
Define linear functions. Use function notation to evaluate linear functions. Learn to identify linear function from data, graphs, and equations.
From playlist Algebra 1
Rafael Gómez-Bombarelli: "Coarse graining autoencoders and evolutionary learning of atomistic..."
Machine Learning for Physics and the Physics of Learning 2019 Workshop I: From Passive to Active: Generative and Reinforcement Learning with Physics "Coarse graining autoencoders and evolutionary learning of atomistic potentials" Rafael Gomez-Bombarelli, Massachusetts Institute of Technol
From playlist Machine Learning for Physics and the Physics of Learning 2019
Using the vertical line test to determine if a graph is a function or not
👉 Learn how to determine whether relations such as equations, graphs, ordered pairs, mapping and tables represent a function. A function is defined as a rule which assigns an input to a unique output. Hence, one major requirement of a function is that the function yields one and only one r
From playlist What is the Domain and Range of the Function
Lecture 6 | Modern Physics: Statistical Mechanics
May 4, 2009 - Leonard Susskind explains the second law of thermodynamics, illustrates chaos, and discusses how the volume of phase space grows. Stanford University: http://www.stanford.edu/ Stanford Continuing Studies Program: http://csp.stanford.edu/ Stanford University Channe
From playlist Lecture Collection | Modern Physics: Statistical Mechanics
Alexander Wagner (8/10/20): Nonembeddability of persistence diagrams into Hilbert spaces
Title: Nonembeddability of persistence diagrams into Hilbert spaces Abstract: The stability of persistence diagrams with respect to changes in the input supports their use as a signature of the underlying space for statistics and machine learning. This stability is with respect to a famil
From playlist ATMCS/AATRN 2020
Lec 23 | MIT 3.320 Atomistic Computer Modeling of Materials
Accelerated Molecular Dynamics, Kinetic Monte Carlo, and Inhomogeneous Spatial Coarse Graining View the complete course at: http://ocw.mit.edu/3-320S05 License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
From playlist MIT 3.320 Atomistic Computer Modeling of Materials
Thomas Weighill - Coarse homotopy groups of warped cones
38th Annual Geometric Topology Workshop (Online), June 15-17, 2021 Thomas Weighill, University of North Carolina at Greensboro Title: Coarse homotopy groups of warped cones Abstract: Various versions of coarse homotopy theory have been around since the beginning of coarse geometry, and s
From playlist 38th Annual Geometric Topology Workshop (Online), June 15-17, 2021
Large deviations in periodically driven systems by Grant M Rotskoff
Large deviation theory in statistical physics: Recent advances and future challenges DATE: 14 August 2017 to 13 October 2017 VENUE: Madhava Lecture Hall, ICTS, Bengaluru Large deviation theory made its way into statistical physics as a mathematical framework for studying equilibrium syst
From playlist Large deviation theory in statistical physics: Recent advances and future challenges
Kurt Kremer: Multiscale modeling for soft matter - Perspectives and challenges
Abstract: Material properties of soft matter are governed by a delicate interplay of energetic and entropic contributions. In other words, generic universal aspects are as relevant as local chemistry specific properties. Thus many different time and length scales are intimately coupled, wh
From playlist Numerical Analysis and Scientific Computing
Dynamic Spatiotemporal Determinants Modulate the Selectivity and Promiscuity by Nagarajan Vaidehi
PROGRAM: STATISTICAL BIOLOGICAL PHYSICS: FROM SINGLE MOLECULE TO CELL (ONLINE) ORGANIZERS: Debashish Chowdhury (IIT Kanpur), Ambarish Kunwar (IIT Bombay) and Prabal K Maiti (IISc, Bengaluru) DATE: 07 December 2020 to 18 December 2020 VENUE: Online 'Fluctuation-and-noise' are th
From playlist Statistical Biological Physics: From Single Molecule to Cell (Online)
Entropy Growth in a Freely Expanding Ideal Gas by Anupam Kundu
ICTS In-house 2022 Organizers: Chandramouli, Omkar, Priyadarshi, Tuneer Date and Time: 20th to 22nd April, 2022 Venue: Ramanujan Hall inhouse@icts.res.in An exclusive three-day event to exchange ideas and research topics amongst members of ICTS.
From playlist ICTS In-house 2022
Analyze the characteristics of multiple functions
👉 Learn about the characteristics of a function. Given a function, we can determine the characteristics of the function's graph. We can determine the end behavior of the graph of the function (rises or falls left and rises or falls right). We can determine the number of zeros of the functi
From playlist Characteristics of Functions