The first-order reliability method, (FORM), is a semi-probabilistic reliability analysis method devised to evaluate the reliability of a system. The accuracy of the method can be improved by averaging over many samples, which is known as Line Sampling. The method is also known as the Hasofer-Lind Reliability Index, developed by Professor Michael Hasofer and Professor in 1974. The index has been recognized as an important step towards the development of contemporary methods to effectively and accurately estimate structural safety. The analysis method depends on a "Most Probable Point" on the limit state (Wikipedia).
Reliability 1: External reliability and rater reliability and agreement
In this video, I discuss external reliability, inter- and intra-rater reliability, and rater agreement.
From playlist Reliability analysis
Ex 1: Find the Interval that Guarantees a Solution to an IVP Exists (Interval of Validity)
This video explains how to find the interval that guarantees a a solution to a initial value problem involving a linear first order differential equation. http://mathispower4u.com
From playlist Linear First Order Differential Equations: Interval of Validity (Existence and Uniqueness)
Applying the first derivative test to a polynomial to determine the increasing and decreasing
👉 Learn how to find the extreme values of a function using the first derivative test. The extreme values of a function are the points/intervals where the graph is decreasing, increasing, or has an inflection point. A method that can be used to obtain the extreme values of a function is the
From playlist First Derivative Test for Functions
Ex 1: Initial Value Problem - Separation of Variables
This video provides an example of how to solve an initial value problem that requires the technique of separation of variables. Video Library: http://mathispower4u.com Search by Topic: http://mathispower4u.wordpress.com
From playlist First Order Differential Equations: Separation of Variables
Ex 2: Find the Interval that Guarantees a Solution to an IVP Exists (Interval of Validity)
This video explains how to find the interval that guarantees a a solution to a initial value problem involving a linear first order differential equation. http://mathispower4u.com
From playlist Linear First Order Differential Equations: Interval of Validity (Existence and Uniqueness)
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
First derivative test of rational function
👉 Learn how to find the extreme values of a function using the first derivative test. The extreme values of a function are the points/intervals where the graph is decreasing, increasing, or has an inflection point. A method that can be used to obtain the extreme values of a function is the
From playlist First Derivative Test for Functions
Find the Interval That a Linear First Order Differential Equation Has a Unique Solution
This video explains how to determine the interval that a first order differential equation initial value problem would have a unique solution. Library: http://mathispower4u.com Search: http://mathispower4u.wordpress.com
From playlist Introduction to Differential Equations
Differential Equations | First Order Linear System of DEs.
We solve a nonhomogeneous system of first order linear differential equations using a strategy inspired from solving a single first order linear differential equation. http://www.michael-penn.net http://www.randolphcollege.edu/mathematics/
From playlist Systems of Differential Equations
Table of Content 1:20 Lesson 1 topics 2:08 Common terminology 3:52 Reliability & validity 6:12 Levels of measurement 9:30 Independent & dependent variables 11:22 Descriptive & inferential statistics 14:22 Experimental & observations designs 18:02 Causal conclusions 22:13 Control groups 26:
From playlist STAT 200 Lectures (OER)
Markus Reiher - Uncertainty Quantification of Quantum Chemical Methods - IPAM at UCLA
Recorded 06 May 2022. Markus Reiher ETH Zurich presents "Uncertainty Quantification of Quantum Chemical Methods" at IPAM's Large-Scale Certified Numerical Methods in Quantum Mechanics Workshop. Learn more online at: http://www.ipam.ucla.edu/programs/workshops/workshop-iii-large-scale-certi
From playlist 2022 Large-Scale Certified Numerical Methods in Quantum Mechanics
CliqueCNN: Self-supervised image representation learning
How to learn useful representation from just a bunch of unlabeled images? I will give a high-level overview of what is self-supervised learning and explain the CliqueCNN method. We will also briefly talk about a bunch of other important self-supervised learning methods Annotations for ev
From playlist Computer Vision
DDPS | Towards reliable, efficient, and automated model reduction of parametrized nonlinear PDEs
Description: Many engineering tasks, such as parametric study and uncertainty quantification, require rapid and reliable solution of partial differential equations (PDEs) for many different configurations. In this talk, we consider goal-oriented model reduction of parametrized nonlinear PD
From playlist Data-driven Physical Simulations (DDPS) Seminar Series
MountainWest RubyConf 2015 - Message Oriented Programming
by Brian Knapp “I’m sorry that I long ago coined the term “objects” for this topic because it gets many people to focus on the lesser idea. The big idea is “messaging” - that is what the kernal of Smalltalk/Squeak is all about (and it’s something that was never quite completed in our Xerox
From playlist MWRC 2015
Validity, reliability and accuracy explained
What doe validity, reliability and accuracy mean in experiments? Watch and find out. Support me on Patreon - https://www.patreon.com/HighSchoolPhysicsExplained Find me on facebook - www.facebook.com/HighSchoolPhysicsExplained credit Pendulum animation - PhET Interactive Simulations Unive
From playlist general
A Defense of Classical Theology (Part 3): A Critique of Scientism and Naturalism
In part 3 of this series, I'd like to talk a bit about scientism and naturalism, which are two ideas that often surface when talking about natural theology. Usually they are brought in to outright dismiss any argument from metaphysics because it's not 'scientific' or cannot be 'empirically
From playlist Theology
Measuring Biodiversity | Required Practical Quadrat; Transect; Mark, Recapture Revision GCSE Biology
I want to help you achieve the grades you (and I) know you are capable of; these grades are the stepping stone to your future. Even if you don't want to study science or maths further, the grades you get now will open doors in the future. Tutoring - We can match you with an experienced t
From playlist Edexcel iGCSE Biology Revision
7. Solutions of Nonlinear Equations; Newton-Raphson Method
MIT 10.34 Numerical Methods Applied to Chemical Engineering, Fall 2015 View the complete course: http://ocw.mit.edu/10-34F15 Instructor: James Swan This lecture talked about the system of non-linear equations. License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/term
From playlist MIT 10.34 Numerical Methods Applied to Chemical Engineering, Fall 2015
First order system introduction
The basic properties of first order system step responses
From playlist Laplace
DevOpsDays NYC 2020: Chen Harel - Reliability Scoring: A 3-Part Formula for Promoting Reliable Code
The expression “separate the signal from the noise” comes up early and often in monitoring, but when our systems continue to get louder and louder – more errors, more alerts, more logs to sift through – finding the one anomaly that actually matters to the reliability of your application ca
From playlist DevOpsDays NYC 2020