Probabilistic models | Randomized algorithms
In probability theory, the first-order second-moment (FOSM) method, also referenced as mean value first-order second-moment (MVFOSM) method, is a probabilistic method to determine the stochastic moments of a function with random input variables. The name is based on the derivation, which uses a first-order Taylor series and the first and second moments of the input variables. (Wikipedia).
The first method for solving second order linear ODE's uses reduction in order. In this method the second derivative is reduced to a first derivative in the dependent variable, which can usually be solved by separation of variables, or by introduction an integrating factor.
From playlist Differential Equations
Reduction of Order - Linear Second Order Homogeneous Differential Equations Part 2
This video explains how to apply the method of reduction of order to solve a linear second order homogeneous differential equations. Site: http://mathispower4u
From playlist Second Order Differential Equations: Reduction of Order
Reduction of Order - Linear Second Order Homogeneous Differential Equations Part 1
This video explains how to apply the method of reduction of order to solve a linear second order homogeneous differential equations. Site: http://mathispower4u
From playlist Second Order Differential Equations: Reduction of Order
Shortcut Reduction of Order - Linear Second Order Homogeneous Differential Equations Part 1
This video explains how to apply the shortcut formula for the method of reduction of order to solve a linear second order homogeneous differential equations. Site: http://mathispower4u.com
From playlist Second Order Differential Equations: Reduction of Order
Solve second order differential equation by substitution, Q10 on review sheet
Solve second order differential equation by substitution, 2nd order differential equation with variable coefficients, Differential equation by substitution, second order linear differential equations, blackpenredpen
From playlist First Order Differential Equations Review
Differential Equations: Linear First Order DEs Introduction
The second of the three analytic methods for solving first order differential equations is only valid if the differential equation is linear. In this video, we look at what it means for a differential equation to be linear and how it can then be solved.
From playlist Differential Equations
Ex 1: Determine Higher Order Derivatives
This video provides an example of how to determine the first, second, third, and fourth derivative of a function. Complete Video List at http://www.mathispower4u.com
From playlist Higher Order Differentiation
Ex 6: Determine Higher Order Derivatives Requiring the Quotient Rule
This video provides an example of how to determine the first and second derivative of function that requires the quotient rule. Complete Video List at http://www.mathispower4u.com
From playlist Higher Order Differentiation
The method of determining eigenvalues as part of calculating the sets of solutions to a linear system of ordinary first-order differential equations.
From playlist A Second Course in Differential Equations
Mathematics for cryo-electron microscopy – Amit Singer – ICM2018
Mathematics in Science and Technology Invited Lecture 17.8 Mathematics for cryo-electron microscopy Amit Singer Abstract: Single-particle cryo-electron microscopy (cryo-EM) has recently joined X-ray crystallography and NMR spectroscopy as a high-resolution structural method for biologica
From playlist Mathematics in Science and Technology
Matrix Equations and Model Reduction Lecture 3
Peter Benner from the Max Planck Institute presents: Matrix Equations and Model Reduction
From playlist Gene Golub SIAM Summer School Videos
Generalized maximum entropy estimation - T. Sutter - Main Conference - CEB T3 2017
Tobias Sutter (Zurich) / 11.12.2017 Title: Generalized maximum entropy estimation Abstract: We consider the problem of estimating a probability distribution that maximizes the entropy while satisfying a finite number of moment constraints, possibly corrupted by noise. Based on duality
From playlist 2017 - T3 - Analysis in Quantum Information Theory - CEB Trimester
6. Maximum Likelihood Estimation (cont.) and the Method of Moments
MIT 18.650 Statistics for Applications, Fall 2016 View the complete course: http://ocw.mit.edu/18-650F16 Instructor: Philippe Rigollet In this lecture, Prof. Rigollet continued on maximum likelihood estimators and talked about Weierstrass Approximation Theorem (WAT), and statistical appli
From playlist MIT 18.650 Statistics for Applications, Fall 2016
DDPS | Reduced order models for thermal radiative transfer problems based on moment equations & POD
In this DDPS talk from Aug. 13, 2021, Dmitriy Anistratov, a professor of nuclear engineering at North Carolina State University, presents a new group of reduced-order models (ROMs) for nonlinear thermal radiative transfer (TRT) problems. ROMs are formulated by means of the nonlinear proj
From playlist Data-driven Physical Simulations (DDPS) Seminar Series
Joe Kileel - Method of moments in cryo-EM - IPAM at UCLA
Recorded 16 November 2022. Joe Kileel of the University of Texas at Austin presents "Method of moments in cryo-EM" at IPAM's Cryo-Electron Microscopy and Beyond Workshop. Abstract: In this talk, I will present recent advances in the theory and implementation of method of moments-based appr
From playlist 2022 Cryo-Electron Microscopy and Beyond
Deep Learning Lecture 4.4 - RMSprop & Adam
Deep Learning Lecture: Optimization Methods - RMSprop - Adam
From playlist Deep Learning Lecture
Towards a theory of non-commutative optimization...… -Rafael Oliveira
Computer Science/Discrete Mathematics Seminar I Topic: Towards a theory of non-commutative optimization: geodesic 1st and 2nd order methods for moment maps and polytopes Speaker: Rafael Oliveira Affiliation:University of Toronto Date: October 22, 2019 For more video please visit http://v
From playlist Mathematics
Optimisation - an introduction: Professor Coralia Cartis, University of Oxford
Coralia Cartis (BSc Mathematics, Babesh-Bolyai University, Romania; PhD Mathematics, University of Cambridge (2005)) has joined the Mathematical Institute at Oxford and Balliol College in 2013 as Associate Professor in Numerical Optimization. Previously, she worked as a research scientist
From playlist Data science classes
Shi Jin: Asymptotic preserving methods for multi-scale physical problems - lecture 1
We will first outline the asymptotic-transition from quantum to classical, to kinetic and then the hydrodynamic equations, and then show how such asymptotics can guide the design and analysis of the so-called asymptotic-preserving schemes that offer efficient multiscale computations betwee
From playlist Virtual Conference
Differential Equation - 2nd Order Linear (1 of 17) Introduction
Visit http://ilectureonline.com for more math and science lectures! In this video I will introduce 2nd order linear homogeneous and non-homogeneous differential equations. Next video in the series can be seen at: http://youtu.be/aA4TNJKvFCQ
From playlist DIFFERENTIAL EQUATIONS 9 - 2nd ORDER INTRODUCTION