In the computational complexity theory, the low hierarchy and high hierarchy of complexity levels were introduced in 1983 by Uwe Schöning to describe the internal structure of the complexity class NP. The low hierarchy starts from complexity class P and grows "upwards", while the high hierarchy starts from class NP and grows "downwards". Later these hierarchies were extended to sets outside NP. The framework of high/low hierarchies makes sense only under the assumption that P is not NP. On the other hand, if the low hierarchy consists of at least two levels, then P is not NP. It is not known whether these hierarchies cover all NP. (Wikipedia).
Highest Common Factor & Lowest Common Multiple - GCSE Mathematics
How to find the highest common factor and lowest common multiple (hcf and lcm) of any two numbers using prime factors. ❤️ ❤️ ❤️ Support the channel ❤️ ❤️ ❤️ https://www.youtube.com/channel/UCf89Gd0FuNUdWv8FlSS7lqQ/join
From playlist Number
Range, Profit and Negative Numbers
A fairly difficult negative number and business problem.
From playlist Middle School - Worked Examples
Low Pass Filters & High Pass Filters : Data Science Concepts
What is a low pass filter? What is a high pass filter? Sobel Filter: https://en.wikipedia.org/wiki/Sobel_operator
From playlist Time Series Analysis
Statistics - How to find outliers
This video covers how to find outliers in your data. Remember that an outlier is an extremely high, or extremely low value. We determine extreme by being 1.5 times the interquartile range above Q3 or below Q1. For more videos visit http://www.mysecretmathtutor.com
From playlist Statistics
Comparing the Solutions to Homogeneous and Nonhomogeneous Systems
This video compares the solutions to a homogeneous system and nonhomogeneous system of equations.
From playlist Rank and Homogeneous Systems
Ruslan Salakhutdinov: "Advanced Hierarchical Models"
Graduate Summer School 2012: Deep Learning, Feature Learning "Advanced Hierarchical Models" Ruslan Salakhutdinov Institute for Pure and Applied Mathematics, UCLA July 24, 2012 For more information: https://www.ipam.ucla.edu/programs/summer-schools/graduate-summer-school-deep-learning-fe
From playlist GSS2012: Deep Learning, Feature Learning
Maximum and Minimum Values (Closed interval method)
A review of techniques for finding local and absolute extremes, including an application of the closed interval method
From playlist 241Fall13Ex3
DDPS | Learning hierarchies of reduced-dimension and context-aware models for Monte Carlo sampling
In this DDPS Seminar Series talk from Sept. 2, 2021, University of Texas at Austin postdoctoral fellow Ionut-Gabriel Farcas discusses hierarchies of reduced-dimension and context-aware low-fidelity models for multi-fidelity Monte Carlo sampling. Description: In traditional model reduction
From playlist Data-driven Physical Simulations (DDPS) Seminar Series
Statistics - Levels of measurement
In this video I'll go over the categories for classifying data such as nominal, ordinal, interval, and ratio. To classify these remember to ask questions like, "can the data be ordered?" For more videos please visit http://www.mysecretmathtutor.com
From playlist Statistics
An average-case depth hierarchy theorem for Boolean - Li-Yang Tan
Computer Science/Discrete Mathematics Seminar I Topic: An average-case depth hierarchy theorem for Boolean circuits I Speaker: Li-Yang Tan Affiliation: Toyota Technological Institute, Chicago Date: Monday, April 4 We prove an average-case depth hierarchy theorem for Boolean circuits
From playlist Mathematics
Who You Find Attractive Is Based on How Hot You Are | Dan Ariely | Big Think
Who You Find Attractive Is Based on How Hot You Are New videos DAILY: https://bigth.ink Join Big Think Edge for exclusive video lessons from top thinkers and doers: https://bigth.ink/Edge --------------------------------------------------------------------------------- People who are very
From playlist Dan Ariely | Big Think
How Power Affects Communication | Intro to Human Communication | Study Hall
Our perception of who has power and why they do is shaped by the values of the cultures and societies we live in. These trickle down into our communities, families and workplaces, and affect our behavior and how we interact with other people. In this episode, we discuss the concept of powe
From playlist Intro to Human Communication: Course Foundations
MFEM Workshop 2021 | High-Order Matrix-Free Solvers
The LLNL-led MFEM (Modular Finite Element Methods) project provides high-order mathematical calculations for large-scale scientific simulations. The project’s first community workshop was held virtually on October 20, 2021, with participants around the world. Learn more about MFEM at https
From playlist MFEM Community Workshop 2021
14.2.4 Non-volatile Storage; Using the Hierarchy
MIT 6.004 Computation Structures, Spring 2017 Instructor: Chris Terman View the complete course: https://ocw.mit.edu/6-004S17 YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP62WVs95MNq3dQBqY2vGOtQ2 14.2.4 Non-volatile Storage; Using the Hierarchy License: Creative Comm
From playlist MIT 6.004 Computation Structures, Spring 2017
26C3: Legic Prime: Obscurity in Depth 1/7
Clip 1/7 Speakers: Henryk Plötz ,Karsten Nohl Legic Prime is an artifact from the time when proprietary cryptography in RFID was considered secure enough. We will demonstrate a break for basically any aspect of Legic Prime's claimed security features. If you rely on Legic Prime's sec
From playlist 26C3: Here be dragons day 2
TU Wien Rendering #20 - Space Partitioning 2
This lecture is held by Thomas Auzinger. Space partitioning helps us to alleviate the problem of intersecting a ray of light against every object in the scene. It turns out that we can often throw away half of the objects with every intersection test! About the course: This course aims to
From playlist TU Wien Rendering / Ray Tracing Course
The physics of birdsong by Gabriel Mindlin
Dynamics of Complex Systems - 2017 DATES: 10 May 2017 to 08 July 2017 VENUE: Madhava Lecture Hall, ICTS Bangalore This Summer Program on Dynamics of Complex Systems is second in the series. The theme for the program this year is Mathematical Biology. Over the past decades, the focus o
From playlist Dynamics of Complex Systems - 2017
Assumptions: Calling Out OUTLIERS – Problems and Causes (6-8)
An Outlier is a rare or extreme high or low score that does not fit the overall pattern of the distribution. Single Items Outliers tend to occur on biometrics and demographics. Univariate Outliers are extreme high or low scores on a single scale. Multivariate Outliers are extreme high or l
From playlist Depicting Distributions from Boxplots to z-Scores (WK 6 QBA 237)