How to Determine if Functions are Linearly Independent or Dependent using the Definition
How to Determine if Functions are Linearly Independent or Dependent using the Definition If you enjoyed this video please consider liking, sharing, and subscribing. You can also help support my channel by becoming a member https://www.youtube.com/channel/UCr7lmzIk63PZnBw3bezl-Mg/join Th
From playlist Zill DE 4.1 Preliminary Theory - Linear Equations
Milad Bakhshizadeh (Columbia) -- Sharp Concentration Resultsfor Heavy-Tailed Distributions
We obtain concentration and large deviation for the sums of independent and identically distributed random variables with heavy-tailed distributions. Our main theorem can not only recover some of the existing results, such as the concentration of the sum of subWeibull random variables, but
From playlist Northeastern Probability Seminar 2020
Ex: Mode, Mid-range, Range, Standard Deviation Using Range Rule of Thumb
This video explains how to determine the vertical and horizontal shift using function notation. http://mathispower4u.com
From playlist Statistics: Describing Data
This video provides a lesson on dependent function and verifying given functions are linear dependent. Site: http://mathispower4u.com
From playlist Second Order Differential Equations
How to Choose Long Tail Keywords For Explosive Search Traffic
In this tutorial, you’ll learn how to find and choose long-tail keywords with high traffic potential and/or low competition (even if they have low individual search volume). A common misconception is that long-tail keywords must be a certain length (word count) in order to be classified
From playlist Keyword Research Tutorials For SEO
A02 Independence of the solution set
The independence of a linear system. How to make sure that a set of solutions are not constant multiples of each other.
From playlist A Second Course in Differential Equations
Marianne Clausel: Large scale reduction simple
Abstract: Consider a non-linear function G(Xt) where Xt is a stationary Gaussian sequence with long-range dependence. The usual reduction principle states that the partial sums of G(Xt) behave asymptotically like the partial sums of the first term in the expansion of G in Hermite polynomia
From playlist Probability and Statistics
An general explanation of the underactive thyroid.
From playlist For Patients
An Introduction to Linear Regression Analysis
Tutorial introducing the idea of linear regression analysis and the least square method. Typically used in a statistics class. Playlist on Linear Regression http://www.youtube.com/course?list=ECF596A4043DBEAE9C Like us on: http://www.facebook.com/PartyMoreStudyLess Created by David Lon
From playlist Linear Regression.
Spatial Clustering for Long-Ranged Avalanches and Epidemics by Alberto Rosso
DISCUSSION MEETING : STATISTICAL PHYSICS OF COMPLEX SYSTEMS ORGANIZERS : Sumedha (NISER, India), Abhishek Dhar (ICTS-TIFR, India), Satya Majumdar (University of Paris-Saclay, France), R Rajesh (IMSc, India), Sanjib Sabhapandit (RRI, India) and Tridib Sadhu (TIFR, India) DATE : 19 December
From playlist Statistical Physics of Complex Systems - 2022
Emmanuel Giner - Curing basis set convergence of WFT w/ DFT: overview of framework and some results
Recorded 03 May 2022. Emmanuel Giner of the Centre National de la Recherche Scientifique presents "Curing basis set convergence of WFT with DFT: overview of framework and some results" at IPAM's Large-Scale Certified Numerical Methods in Quantum Mechanics Workshop. Learn more online at: ht
From playlist 2022 Large-Scale Certified Numerical Methods in Quantum Mechanics
Emergent Behavior in Collective Dynamics
Distinguished Visitor Lecture Series Emergent Behavior in Collective Dynamics Eitan Tadmor University of Maryland, USA
From playlist Distinguished Visitors Lecture Series
R - t-tests and Correlation Examples
Lecturer: Dr. Erin M. Buchanan Missouri State University Spring 2017 This video demonstrates how to calculate single, dependent, and independent t-tests in R using t.test function, tapply to figure out the means/sds/N values, effect size, and some other useful functions. Correlation usin
From playlist Advanced Statistics Videos
Loren Coquille - Gibbs states for (long-range) Ising models
I will review old and present new results on standard and long-range Ising models in dimension 1, 2 and 3. I shall focus on fluctuations or rigidity of interfaces at low temperature, in the coexistence regime. Based on works in collaboration with Y. Velenik (Geneva) on one hand, and A. va
From playlist 100…(102!) Years of the Ising Model
Axial-DeepLab: Stand-Alone Axial-Attention for Panoptic Segmentation (Paper Explained)
#ai #machinelearning #attention Convolutional Neural Networks have dominated image processing for the last decade, but transformers are quickly replacing traditional models. This paper proposes a fully attentional model for images by combining learned Positional Embeddings with Axial Atte
From playlist Papers Explained
Kurt Johansson: The Airy point process in the two-periodic Aztec diamond
Abstract: The two-periodic Aztec diamond is a dimer or random tiling model with three phases, solid, liquid and gas. The dimers form a determinantal point process with a somewhat complicated but explicit correlation kernel. I will discuss in some detail how the Airy point process can be fo
From playlist Probability and Statistics
Non-equilibrium criticality in quench dynamics of infinite-range spin models by Mohammad Maghrebi
PROGRAM THERMALIZATION, MANY BODY LOCALIZATION AND HYDRODYNAMICS ORGANIZERS: Dmitry Abanin, Abhishek Dhar, François Huveneers, Takahiro Sagawa, Keiji Saito, Herbert Spohn and Hal Tasaki DATE : 11 November 2019 to 29 November 2019 VENUE: Ramanujan Lecture Hall, ICTS Bangalore How do is
From playlist Thermalization, Many Body Localization And Hydrodynamics 2019
Network Analysis. Lecture 13. Epidemics on networks
Spread of epidemics on networks.SI, SIS, SIR models. Epidemic threshold. Simulation of infection propagation. Lecture slides: http://www.leonidzhukov.net/hse/2015/networks/lectures/lecture13.pdf
From playlist Structural Analysis and Visualization of Networks.
Statistical mechanics of systems of interacting classical particles (Lecture 2) by Chandan Dasgupta
PROGRAM ENTROPY, INFORMATION AND ORDER IN SOFT MATTER ORGANIZERS: Bulbul Chakraborty, Pinaki Chaudhuri, Chandan Dasgupta, Marjolein Dijkstra, Smarajit Karmakar, Vijaykumar Krishnamurthy, Jorge Kurchan, Madan Rao, Srikanth Sastry and Francesco Sciortino DATE: 27 August 2018 to 02 Novemb
From playlist Entropy, Information and Order in Soft Matter
Check for Linear Dependence (3 functions, using definition)
Check for Linear Dependence (3 functions, using definition), 3 functions are linearly dependent if you can find c1, c2, c3, not all zero such that c1f1+c2f2+c3f3=0. Must use the definition to show linear dependence, blackpenredpen
From playlist Homogeneous Second-Order Linear Differential Equations (Nagle Sect4.2)