Simulating in Real Time: Hydraulic Actuator
Get a Free Trial: https://goo.gl/C2Y9A5 Get Pricing Info: https://goo.gl/kDvGHt Ready to Buy: https://goo.gl/vsIeA5 Configure multiple, independent solvers to enable real-time simulation. The model of a hydraulic aileron actuation system is simulated on a real-time target. For more video
From playlist Physical Modeling
Adaptive Fluid Simulations | Two Minute Papers #10
There are computer programs that can simulate the behavior of fluids, such as water, milk, honey and many others. However, creating detailed simulations takes a really long time, up to days even for a few seconds of video footage. Adaptive algorithms are a class of techniques that try to
From playlist Fluid, Cloth and Hair Simulations (Two Minute Papers)
How to Model Custom Physical Components in Simscape
Simscape™ extends the MATLAB® language with constructs for modeling implicit equations. Learn more about Simscape: http://goo.gl/Jhsth7 Get a free Product Trial: https://goo.gl/5NvCdU Download Sample Lift Table Model: http://goo.gl/k4fYwA These extensions of MATLAB are used to model a tra
From playlist Physical Modeling
How To Build User-Adaptive Interfaces
Users have indicated many preferences on their devices these days. They want the operating system and apps to look and feel like their own. User-adaptive interfaces are those which are ready to use these preferences to enhance the user experience, to make it feel more at home. If done corr
From playlist Web Design: CSS / SVG
Modular Exponentiation Quiz - Applied Cryptography
This video is part of an online course, Applied Cryptography. Check out the course here: https://www.udacity.com/course/cs387.
From playlist Applied Cryptography
Adaptive Control Basics: What Is Model Reference Adaptive Control?
Use an adaptive control method called model reference adaptive control (MRAC). This controller can adapt in real time to variations and uncertainty in the system that is being controlled. See how model reference adaptive control cancels out the unmodelled dynamics so that a nominal plant
From playlist Learning-Based Control
Raúl Tempone: Adaptive strategies for Multilevel Monte Carlo
Abstract: We will first recall, for a general audience, the use of Monte Carlo and Multi-level Monte Carlo methods in the context of Uncertainty Quantification. Then we will discuss the recently developed Adaptive Multilevel Monte Carlo (MLMC) Methods for (i) It Stochastic Differential Equ
From playlist Probability and Statistics
Tune Parameters to Match Simulation Results
Get a Free Trial: https://goo.gl/C2Y9A5 Get Pricing Info: https://goo.gl/kDvGHt Ready to Buy: https://goo.gl/vsIeA5 Tune parameter values in abstracted models to match simulation results from detailed models. Optimization algorithms are used to automatically tune parameters of a dual-clu
From playlist Physical Modeling
AQC2016 - Classical Modeling of Quantum Tunneling
A Google TechTalk, June 29, 2016, presented by Itay Hen (USC) ABSTRACT: Tunneling is widely believed to be the main advantage quantum annealers have over their classical counterparts. With neither provable speedups nor no-go theorems demonstrated, the true power of quantum annealers remai
From playlist Adiabatic Quantum Computing Conference 2016
AQC - 2016 Quantum vs. Classical Optimization - A Status Report on the Arms Race
A Google TechTalk, June 27, 2016, presented by Helmut Katzgraber (Texas A&M) ABSTRACT: To date, a conclusive detection of quantum speedup remains elusive. However, recent results from quantum Monte Carlo simulations, as well as the D-Wave 2X quantum annealer show a scaling that clearly o
From playlist Adiabatic Quantum Computing Conference 2016
RubyConf 2022: Simulated Annealing: The Most Metal Algorithm Ever 🤘 by Chris Bloom
Simulated annealing is a fascinating algorithm that's designed to help find a particular type of solution (near-optimal, aka "good enough") to a particular type of problem (constrained optimization). It's inspired by the science of metallurgy, and because it's grounded in a real-world proc
From playlist RubyConf 2022: Mini and Houston
Sharing Models Using Simscape Editing Mode
A model developer uses Simscape™ and Simscape add-on products to develop a model of a hydraulic lift. Learn more about Simscape: http://goo.gl/Jhsth7 Get a free Product Trial: https://goo.gl/5NvCdU A model user, who does not have licenses for the Simscape add-on products, is able to use t
From playlist Physical Modeling
Matthias Poloczek: New Approximation Algorithms for MAX SAT Simple, Fast, and Excellent in Practice
Matthias Poloczek: New Approximation Algorithms for MAX SAT Simple, Fast, and Excellent in Practice We present simple randomized and deterministic algorithms that obtain 3/4-approximations for the maximum satisfiability problem (MAX SAT) in linear time. In particular, their worst case gua
From playlist HIM Lectures 2015
AQC 2016 - Simulated Quantum Annealing Can Be Exponentially Faster Than Classical
A Google TechTalk, June 27, 2016, presented by Elizabeth Crosson (Caltech) ABSTRACT: Simulated Quantum Annealing Can Be Exponentially Faster Than Classical Simulated Annealing: Cost functions with thin, high energy barriers can exhibit exponential separations between the run-time of class
From playlist Adiabatic Quantum Computing Conference 2016
Matt Moores - The Annealed Leap-Point MCMC Sampler (ALPS) for multi-modal posterior distributions
Dr Matt Moores (University of Wollongong) presents, "The Annealed Leap-Point MCMC Sampler (ALPS) for multi-modal posterior distributions", 10 June 2022.
From playlist Statistics Across Campuses
AQC 2016 - What is the Computational Value of Finite Range Tunneling?
A Google TechTalk, June 27, 2016, presented by Vasil Denchev (Google) ABSTRACT: Quantum annealing (QA) has been proposed as a quantum enhanced optimization heuristic exploiting tunneling. Here, we demonstrate how finite range tunneling can provide considerable computational advantage. For
From playlist Adiabatic Quantum Computing Conference 2016
Markov processes and applications-3 by Hugo Touchette
PROGRAM : BANGALORE SCHOOL ON STATISTICAL PHYSICS - XII (ONLINE) ORGANIZERS : Abhishek Dhar (ICTS-TIFR, Bengaluru) and Sanjib Sabhapandit (RRI, Bengaluru) DATE : 28 June 2021 to 09 July 2021 VENUE : Online Due to the ongoing COVID-19 pandemic, the school will be conducted through online
From playlist Bangalore School on Statistical Physics - XII (ONLINE) 2021
AQC 2016 - Floquet Quantum Annealing with Superconducting Circuit
A Google TechTalk, June 29, 2016, presented by Oleksandr Kyriienko (Niels Bohr Institute) ABSTRACT: The successful application of a quantum annealing procedure largely relies on the possibility to implement a non-trivial Hamiltonian in a fully controlled system. The circuit QED platform ha
From playlist Adiabatic Quantum Computing Conference 2016
AQC 2016 - Simulated Annealing Comparison Between All-to-All Connectivity Schemes
A Google TechTalk, June 29, 2016, presented by Tameem Albash (USC) ABSTRACT: Quantum annealing aims to exploit quantum mechanics to speed up the solution to optimization problems. Most problems exhibit complete connectivity between the logical spin variables after they are mapped to the I
From playlist Adiabatic Quantum Computing Conference 2016
Accelerated motion and oscillation!
In this video i demonstrate accelerated motion with interface. I show the graphs of simple accelerating motion and simple harmonic motion with force and motion sensor!
From playlist MECHANICS