Time series | Sequences and series
In probability theory – specifically in the theory of stochastic processes, a stationary sequence is a random sequence whose joint probability distribution is invariant over time. If a random sequence X j is stationary then the following holds: where F is the joint cumulative distribution function of the random variables in the subscript. If a sequence is stationary then it is wide-sense stationary. If a sequence is stationary then it has a constant mean (which may not be finite): (Wikipedia).
Intermittent Planetary Mechanism
This mechanism produces a reciprocating movement, with the forward always longer than the backward. It uses a planetary mechanism with two inputs, the sun and the ring. The output is the arm. The inputs are provided by an intermittent mechanism, with one gear moving two others, one at a ti
From playlist Planetary Mechanisms
Exploring Stationary Points (2 of 3: Introductory Examples regarding nature of Stationary Points)
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From playlist Applications of Differentiation
Stationary Points: Step-by-Step Guide
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From playlist Applications of Differentiation
Time Derivatives in Inertial and Rotating Frames (9.3)
In this video, I write down a relationship between the time derivatives of a vector quantity in the inertial and rotating frames.
From playlist Intermediate Classical Mechanics
From playlist l. Differential Calculus
Time Series Talk : Stationarity
Intro to stationarity in time series analysis My Patreon : https://www.patreon.com/user?u=49277905
From playlist Time Series Analysis
C64 Transient and steady state terms
Showing that the solution to simple harmonic motion problems have transient and steady-state terms
From playlist Differential Equations
In this second part on Motion, we take a look at calculating the velocity and position vectors when given the acceleration vector and initial values for velocity and position. It involves as you might imagine some integration. Just remember that when calculating the indefinite integral o
From playlist Life Science Math: Vectors
Laura Fontanella: Reflection of stationary sets and the tree property at ℵω2+1
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 Logic and Foundations
Serge Cantat - Random foldings of pentagons
Start with a pentagon in the euclidean plane, and consider the space of all pentagons with the same side lengths up to euclidean motion. This space is the real part of some K3 surface. Folding the pentagons along their diagonals, one obtains involutive automorphism of this K3 surface. I wi
From playlist Geometry in non-positive curvature and Kähler groups
C67 The physics of simple harmonic motion
See how the graphs of simple harmonic motion changes with changes in mass, the spring constant and the values correlating to the initial conditions (amplitude)
From playlist Differential Equations
Research talks by Rahul Siddharthan
Second Bangalore School on Population Genetics and Evolution URL: http://www.icts.res.in/program/popgen2016 DESCRIPTION: Just as evolution is central to our understanding of biology, population genetics theory provides the basic framework to comprehend evolutionary processes. Population
From playlist Second Bangalore School on Population Genetics and Evolution
From playlist Contributed talks One World Symposium 2020
Probability on Kazhdan Groups (Lecture 2) by Gábor Pete
PROGRAM: PROBABILISTIC METHODS IN NEGATIVE CURVATURE ORGANIZERS: Riddhipratim Basu (ICTS - TIFR, India), Anish Ghosh (TIFR, Mumbai, India), Subhajit Goswami (TIFR, Mumbai, India) and Mahan M J (TIFR, Mumbai, India) DATE & TIME: 27 February 2023 to 10 March 2023 VENUE: Madhava Lecture Hall
From playlist PROBABILISTIC METHODS IN NEGATIVE CURVATURE - 2023
Matthew Foreman: Welch games to Laver ideals
Recorded during the meeting "XVI International Luminy Workshop in Set Theory" the September 16, 2021 by the Centre International de Rencontres Mathématiques (Marseille, France) Filmmaker: Guillaume Hennenfent Find this video and other talks given by worldwide mathematicians on CIRM's Au
From playlist Logic and Foundations
Markov Chains: Simulation in Python | Stationary Distribution Computation | Part - 7
So far we have a fair knowledge of Markov Chains. But how to implement this? Here, I've coded a Markov Chain from scratch and I've mentioned 3 different ways of computing the stationary distribution! #markovchain #datascience #python Like my work? Support me - https://www.buymeacoffee.co
From playlist Markov Chains Clearly Explained!
Ralf Schindler Universität Münster, Germany
From playlist Talks of Mathematics Münster's reseachers
Rigidity on Homogeneous Bundles by Alexander Gorodnik
DISCUSSION MEETING STRUCTURED LIGHT AND SPIN-ORBIT PHOTONICS ORGANIZERS: Bimalendu Deb (IACS Kolkata, India), Tarak Nath Dey (IIT Guwahati, India), Subhasish Dutta Gupta (UOH, TIFR Hyderabad, India) and Nirmalya Ghosh (IISER Kolkata, India) DATE: 29 November 2022 to 02 December 2022 VE
From playlist Ergodic Theory and Dynamical Systems 2022
Simple Harmonic Motion (2 of 16): Pendulum, Calculating Period, Frequency, Length and Gravity
In this video I go over five example problems for calculating the period, frequency, length and acceleration due to gravity for a simple pendulum. A pendulum is a mass suspended from a string that is attached to pivot point. There is no friction so that the pendulum can swing freely. When
From playlist Simple Harmonic Motion, Waves and Vibrations
From playlist Contributed talks One World Symposium 2020