Differential Equations with Forcing: Method of Variation of Parameters
This video solves externally forced linear differential equations with the method of variation of parameters. This approach is extremely powerful. The idea is to solve the unforced, or "homogeneous" system, and then to replace the unknown coefficients c_k with unknown functions of time c
From playlist Engineering Math: Differential Equations and Dynamical Systems
Solving a system of equations with infinite many solutions
👉Learn how to solve a system (of equations) by elimination. A system of equations is a set of equations which are collectively satisfied by one solution of the variables. The elimination method of solving a system of equations involves making the coefficient of one of the variables to be e
From playlist Solve a System of Equations Using Elimination | Medium
Evaluating a limit by factoring
👉 Learn how to evaluate the limit of a function involving rational expressions. The limit of a function as the input variable of the function tends to a number/value is the number/value which the function approaches at that time. The limit of a function is usually evaluated by direct subst
From playlist Evaluate the Limit (PC)
What are the restrictions we put on a rational expression
👉 Learn about solving rational equations. A rational expression is an expression in the form of a fraction where the numerator and/or the denominator are/is an algebraic expression. There are many ways to solve rational equations, one of the ways is by multiplying all the individual ration
From playlist How to Solve Rational Equations | Learn About
How to Solve a System of Equations Using Elimination
👉Learn how to solve a system (of equations) by elimination. A system of equations is a set of equations which are collectively satisfied by one solution of the variables. The elimination method of solving a system of equations involves making the coefficient of one of the variables to be e
From playlist Solve a System of Equations Using Elimination | Medium
Left hand Limit of a rational function at a hole
👉 Learn all about the Limit. In this playlist, we will explore how to evaluate the limit of an equation, piecewise function, table and graph. We will explore continuity as well as discontinuities such as holes, asymptotes and jumps and how they relate to the limit. We will evaluate the g
From playlist Evaluate Limits of Rational Expressions
Solving two step equations with a rational expression on one side
👉 Learn how to solve two step rational linear equations. A linear equation is an equation whose highest exponent on its variable(s) is 1. A rational equation is an equation containing at least one fraction whose numerator and (or) denominator are polynomials. To solve for a variable in a
From playlist Solve Two Step Equations with a Rational Fraction
Using parent graphs to understand the left and right hand limits
👉 Learn how to evaluate the limit of an absolute value function. The limit of a function as the input variable of the function tends to a number/value is the number/value which the function approaches at that time. The absolute value function is a function which only takes the positive val
From playlist Evaluate Limits of Absolute Value
Solve a System of Equations Using Elimination
👉Learn how to solve a system (of equations) by elimination. A system of equations is a set of equations which are collectively satisfied by one solution of the variables. The elimination method of solving a system of equations involves making the coefficient of one of the variables to be e
From playlist Solve a System of Equations Using Elimination | Hard
Integrating Inference with Stochastic Process Algebra Models - Jane Hillston, Edinburgh
ProPPA is a probabilistic programming language for continuous-time dynamical systems, developed as an extension of the stochastic process algebra Bio-PEPA. It offers a high-level syntax for describing systems of interacting components with stochastic behaviours where some of the parameters
From playlist Logic and learning workshop
Statistical physics and statistical inference (Lecture 2) by Marc Mézard
INFOSYS-ICTS TURING LECTURES ARTIFICIAL INTELLIGENCE: SUCCESS, LIMITS, MYTHS AND THREATS SPEAKER: Marc Mézard (Director of Ecole normale supérieure - PSL University ) DATE: 06 January 2020, 16:00 to 17:30 VENUE: Chandrasekhar Auditorium, ICTS-TIFR, Bengaluru Lecture 1 (Public Lecture)
From playlist Infosys-ICTS Turing Lectures
CERIAS Security: Safely Analyzing Sensitive Network Data 5/6
Clip 5/6 Speaker: Gerome Miklau · University of Massachusetts, Amherst Our recent work investigates the properties of a network that can be accurately studied without threatening the privacy of individuals and their connections. We adopt the rigorous condition of differential privacy, an
From playlist The CERIAS Security Seminars 2009
Stability of the set of quantum states - S. Weis - Workshop 2 - CEB T3 2017
Stephan Weis / 26.10.17 Stability of the set of quantum states A convex set C is stable if the midpoint map (x,y) - (x+y)/2 is open. For compact C the Vesterstrøm–O’Brien theorem asserts that C is stable if and only if the barycentric map from the set of all Borel probability measures to
From playlist 2017 - T3 - Analysis in Quantum Information Theory - CEB Trimester
Howard Bondell - Bayesian inference using estimating equations via empirical likelihood
Professor Howard Bondell (University of Melbourne) presents "Do you have a moment? Bayesian inference using estimating equations via empirical likelihood", 22 October 2021.
From playlist Statistics Across Campuses
Statistical Rethinking Winter 2019 Lecture 11
Lecture 11 of the Dec 2018 through March 2019 edition of Statistical Rethinking: A Bayesian Course with R and Stan. Covers Chapters 10 and 11: maximum entropy, generalized linear models.
From playlist Statistical Rethinking Winter 2019
Jocelyn Read - Gravitational-wave observations of neutron-star mergers - IPAM at UCLA
Recorded 18 November 2021. Jocelyn Read of California State University, Fullerton (CSU Fullerton) presents " Gravitational-wave observations of neutron-star mergers" at IPAM's Workshop III: Source inference and parameter estimation in Gravitational Wave Astronomy. Abstract: New discoverie
From playlist Workshop: Source inference and parameter estimation in Gravitational Wave Astronomy
DDPS | Physics-Informed Learning for Nonlinear Dynamical Systems
Talk Abstract Dynamical modeling of a process is essential to study its dynamical behavior and perform engineering studies such as control and optimization. With the ease of accessibility of data, learning models directly from the data have recently drawn much attention. It is also desir
From playlist Data-driven Physical Simulations (DDPS) Seminar Series
Nexus trimester - Henry Pfister (Duke University) 1/2
Factor Graphs, Belief Propagation, and Density Evolution - 1/2 Henry Pfister (Duke University) March 16, 2016 Abstract: The goal of this mini-course is to introduce students to marginal inference techniques for large systems of random variables defined by sparse random factor graphs. Ove
From playlist 2016-T1 - Nexus of Information and Computation Theory - CEB Trimester
Factor Graphs 1 - Constraint Satisfaction Problems | Stanford CS221: AI (Autumn 2019)
For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/2ZmzIQT Topics: Factor Graphs Percy Liang, Associate Professor & Dorsa Sadigh, Assistant Professor - Stanford University http://onlinehub.stanford.edu/ Associate P
From playlist Stanford CS221: Artificial Intelligence: Principles and Techniques | Autumn 2019
Learn how to evaluate a limit by factoring
👉 Learn how to evaluate the limit of a function involving rational expressions. The limit of a function as the input variable of the function tends to a number/value is the number/value which the function approaches at that time. The limit of a function is usually evaluated by direct subst
From playlist Evaluate the Limit (PC)