Nonlinear systems | Hysteresis | Dynamical systems
Hysteretic models are mathematical models capable of simulating the complex nonlinear behavior characterizing mechanical systems and materials used in different fields of engineering, such as aerospace, civil, and mechanical engineering. Some examples of mechanical systems and materials having hysteretic behavior are: * materials, such as steel, reinforced concrete, wood; * structural elements, such as steel, reinforced concrete, or wood joints; * devices, such as seismic isolators and dampers. Hysteretic models may have a generalized displacement as input variable and a generalized force as output variable, or vice versa. In particular, in rate-independent hysteretic models, the output variable does not depend on the rate of variation of the input one. Rate-independent hysteretic models can be classified into four different categories depending on the type of equation that needs to be solved to compute the output variable: * Algebraic models; * Transcendental models; * Differential models; * Integral models. (Wikipedia).
(ML 13.6) Graphical model for Bayesian linear regression
As an example, we write down the graphical model for Bayesian linear regression. We introduce the "plate notation", and the convention of shading random variables which are being conditioned on.
From playlist Machine Learning
generative model vs discriminative model
understanding difference between generative model and discriminative model with simple example. all machine learning youtube videos from me, https://www.youtube.com/playlist?list=PLVNY1HnUlO26x597OgAN8TCgGTiE-38D6
From playlist Machine Learning
Hysteretic oscillations in a well-mixed population of budding yeast by Sandeep Krishna
Indian Statistical Physics Community Meeting 2018 DATE:16 February 2018 to 18 February 2018 VENUE:Ramanujan Lecture Hall, ICTS Bangalore This is an annual discussion meeting of the Indian statistical physics community which is attended by scientists, postdoctoral fellows, and graduate s
From playlist Indian Statistical Physics Community Meeting 2018
Zeroth-order abrupt phase transitions with signatures of criticality by Bhavtosh Bansal
DISCUSSION MEETING: 7TH INDIAN STATISTICAL PHYSICS COMMUNITY MEETING ORGANIZERS : Ranjini Bandyopadhyay, Abhishek Dhar, Kavita Jain, Rahul Pandit, Sanjib Sabhapandit, Samriddhi Sankar Ray and Prerna Sharma DATE: 19 February 2020 to 21 February 2020 VENUE: Ramanujan Lecture Hall, ICTS Ba
From playlist 7th Indian Statistical Physics Community Meeting 2020
Thomas Hudson: Explaining the Mullins effect in filled rubber
Thomas Hudson: Explaining the Mullins effect in filled rubber Filled rubber is an important material for a wide variety of everyday applications. In the late 1960s, it was noted that filled rubbers exhibit stress-strain hysteresis, a phenomenon which is now termed the Mullins effect after
From playlist HIM Lectures 2015
Alison Etheridge: Spatial population models (1/4)
Abstract: Mathematical models play a fundamental role in theoretical population genetics and, in turn, population genetics provides a wealth of mathematical challenges. In these lectures, we focus on some of the models which arise when we try to model the interplay between the forces of ev
From playlist Summer School on Stochastic modelling in the life sciences
Alison Etheridge: Spatial population models (4/4)
Abstract: Mathematical models play a fundamental role in theoretical population genetics and, in turn, population genetics provides a wealth of mathematical challenges. In these lectures, we focus on some of the models which arise when we try to model the interplay between the forces of ev
From playlist Summer School on Stochastic modelling in the life sciences
A Physicists Thoughts On Writing Deep Learning Papers
There's an art form to writing papers and that includes making sure your paper gets read. In today's video I'm going to share my experiences in publishing papers in high profile physics journals, and how that would apply to writing deep learning papers. Learn how to turn deep reinforcemen
From playlist Essential Soft Skills
Alison Etheridge: Spatial population models (3/4)
Abstract: Mathematical models play a fundamental role in theoretical population genetics and, in turn, population genetics provides a wealth of mathematical challenges. In these lectures, we focus on some of the models which arise when we try to model the interplay between the forces of ev
From playlist Summer School on Stochastic modelling in the life sciences
Quantum Transport, Lecture 14: Josephson effects
Instructor: Sergey Frolov, University of Pittsburgh, Spring 2013 http://sergeyfrolov.wordpress.com/ Summary: Andreev bound states, Josephson junctions, RSJ model. Quantum Transport course development supported in part by the National Science Foundation under grant DMR CAREER 1252962.
From playlist Quantum Transport
Quantum Transport, Lecture 15: Superconducting Interference
Instructor: Sergey Frolov, University of Pittsburgh, Spring 2013 http://sergeyfrolov.wordpress.com/ Summary: flux quantization, SQUIDs, pi-junctions, Fraunhofer diffraction in Josephson junctions. Quantum Transport course development supported in part by the National Science Foundation und
From playlist Quantum Transport
Quantum Hall ferromagnetism in trilayer graphene by Mandar Deshmukh
DATES Monday 20 Jun, 2016 - Wednesday 29 Jun, 2016 VENUE Ramanujan Lecture Hall, ICTS Bangalore APPLY Understanding strongly interacting quantum many body systems is one of the major frontiers in present day physics. Condensed matter physics provides a wide panoply of systems where strong
From playlist School on Current Frontiers in Condensed Matter Research
Two-dimensional power law behavior in one-dimensional NiTe2O5 by Yoon Seok Oh
Program The 2nd Asia Pacific Workshop on Quantum Magnetism ORGANIZERS: Subhro Bhattacharjee, Gang Chen, Zenji Hiroi, Ying-Jer Kao, SungBin Lee, Arnab Sen and Nic Shannon DATE: 29 November 2018 to 07 December 2018 VENUE: Ramanujan Lecture Hall, ICTS Bangalore Frustrated quantum magne
From playlist The 2nd Asia Pacific Workshop on Quantum Magnetism
Ex: Determine the Value of a Number on a Logarithmic Scale (Log Form)
This video explains how to determine the value of several numbers on a logarithmic scale scaled in logarithmic form. http://mathispower4u.com
From playlist Using the Definition of a Logarithm
The Ferris Wheel - Trigonometric Function Model (1 of 3: Setting up the equation)
More resources available at www.misterwootube.com
From playlist Trigonometric Functions and Graphs
Quantifying resilience... - Dakos - Workshop 3 - CEB T3 2019
Dakos (University of Montpellier) / 02.12.2019 Quantifying resilience: tipping points and early - warnings ---------------------------------- Vous pouvez nous rejoindre sur les réseaux sociaux pour suivre nos actualités. Facebook : https://www.facebook.com/InstitutHenriPoincare/
From playlist 2019 - T3 - The Mathematics of Climate and the Environment
What are Hyperbolas? | Ch 1, Hyperbolic Trigonometry
This is the first chapter in a series about hyperbolas from first principles, reimagining trigonometry using hyperbolas instead of circles. This first chapter defines hyperbolas and hyperbolic relationships and sets some foreshadowings for later chapters This is my completed submission t
From playlist Summer of Math Exposition 2 videos
Spinodal instability in correlated-electron-systems with long-range elastic by Bhavtosh Bansal
DISCUSSION MEETING INDIAN STATISTICAL PHYSICS COMMUNITY MEETING ORGANIZERS Ranjini Bandyopadhyay, Abhishek Dhar, Kavita Jain, Rahul Pandit, Sanjib Sabhapandit, Samriddhi Sankar Ray and Prerna Sharma DATE: 14 February 2019 to 16 February 2019 VENUE: Ramanujan Lecture Hall, ICTS Bangalo
From playlist Indian Statistical Physics Community Meeting 2019