The SPIKE algorithm is a hybrid parallel solver for banded linear systems developed by Eric Polizzi and Ahmed Sameh (Wikipedia).
Build a Heap - Intro to Algorithms
This video is part of an online course, Intro to Algorithms. Check out the course here: https://www.udacity.com/course/cs215.
From playlist Introduction to Algorithms
Get a Free Trial: https://goo.gl/C2Y9A5 Get Pricing Info: https://goo.gl/kDvGHt Ready to Buy: https://goo.gl/vsIeA5 Determine the period of a signal by measuring the distance between the peaks, and find peaks in a noisy signal using Signal Processing Toolbox™. For more on Signal Process
From playlist Signal Processing and Communications
Greedy Algorithm | What Is Greedy Algorithm? | Introduction To Greedy Algorithms | Simplilearn
This video on the Greedy Algorithm will acquaint you with all the fundamentals of greedy programming paradigm. In this tutorial, you will learn 'What Is Greedy Algorithm?' with the help of suitable examples. And finally, you will also discover few important applications of greedy algorithm
From playlist Data Structures & Algorithms [2022 Updated]
Centrality - Intro to Algorithms
This video is part of an online course, Intro to Algorithms. Check out the course here: https://www.udacity.com/course/cs215.
From playlist Introduction to Algorithms
Find the Shortest Path - Intro to Algorithms
This video is part of an online course, Intro to Algorithms. Check out the course here: https://www.udacity.com/course/cs215.
From playlist Introduction to Algorithms
Determining Signal Similarities
Get a Free Trial: https://goo.gl/C2Y9A5 Get Pricing Info: https://goo.gl/kDvGHt Ready to Buy: https://goo.gl/vsIeA5 Find a signal of interest within another signal, and align signals by determining the delay between them using Signal Processing Toolbox™. For more on Signal Processing To
From playlist Signal Processing and Communications
Using the property of equality to solve equations with exponents
👉 Learn how to solve exponential equations. An exponential equation is an equation in which a variable occurs as an exponent. To solve an exponential equation, we isolate the exponential part of the equation. Then we take the log of both sides. Note that the base of the log should correspo
From playlist Solve Exponential Equations without a Calculator
Solving an exponential equation using the one to one property 16^x + 2 = 6
👉 Learn how to solve exponential equations. An exponential equation is an equation in which a variable occurs as an exponent. To solve an exponential equation, we isolate the exponential part of the equation. Then we take the log of both sides. Note that the base of the log should correspo
From playlist Solve Exponential Equations with Logarithms
AQC 2016 - Quantum Monte Carlo vs Tunneling vs. Adiabatic Optimization
A Google TechTalk, June 27, 2016, presented by Aram Harrow (MIT) ABSTRACT: Can quantum adiabatic evolution solve optimization problems much faster than classical computers? One piece of evidence for this has been their apparent advantage in "tunneling" through barriers to escape local mi
From playlist Adiabatic Quantum Computing Conference 2016
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
Side Channel Analysis of Cryptographic Implementations
Cryptography and Network Security by Prof. D. Mukhopadhyay, Department of Computer Science and Engineering, IIT Kharagpur. For more details on NPTEL visit http://nptel.iitm.ac.in
From playlist Computer - Cryptography and Network Security
Using the equality of exponents to get the same base and solve
👉 Learn how to solve exponential equations. An exponential equation is an equation in which a variable occurs as an exponent. To solve an exponential equation, we isolate the exponential part of the equation. Then we take the log of both sides. Note that the base of the log should correspo
From playlist Solve Exponential Equations without a Calculator
Andrew Sutherland, Arithmetic L-functions and their Sato-Tate distributions
VaNTAGe seminar on April 28, 2020. License: CC-BY-NC-SA Closed captions provided by Jun Bo Lau.
From playlist The Sato-Tate conjecture for abelian varieties
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
Neural Networks for Machine Learning by Geoffrey Hinton [Coursera 2013] 1A Why do we need machine learning? 1B What are neural networks? 1C Some simple models of neurons 1D A simple example of learning 1E Three types of learning
From playlist Neural Networks for Machine Learning by Professor Geoffrey Hinton [Complete]
Gérard Ben Arous: "Which is worse: a weak signal lost in entropy or trapping by topological comp..."
Machine Learning for Physics and the Physics of Learning 2019 Workshop IV: Using Physical Insights for Machine Learning "Which is worse: a weak signal lost in entropy or trapping by topological complexity?" Gérard Ben Arous - New York University Abstract: What makes a high dimensional
From playlist Machine Learning for Physics and the Physics of Learning 2019
Artificial Intelligence per Kilowatt-hour: Max Welling, University of Amsterdam
Professor Welling is a research chair in Machine Learning at the University of Amsterdam and a Vice President Technologies at Qualcomm. He has a secondary appointment at the Canadian Institute for Advanced Research (CIFAR). He is co-founder of “Scyfer BV” a university spin-off in deep lear
From playlist AI for Social Good
Laura Grigori - Randomization techniques for solving large scale linear algebra problems
Recorded 30 March 2023. Laura Grigori of Sorbonne Université presents "Randomization techniques for solving large scale linear algebra problems" at IPAM's Increasing the Length, Time, and Accuracy of Materials Modeling Using Exascale Computing workshop. Learn more online at: http://www.ipa
From playlist 2023 Increasing the Length, Time, and Accuracy of Materials Modeling Using Exascale Computing
MountainWest RubyConf 2014 - Big O in a Homemade Hash by Nathan Long
Rubyists use hashes all the time. But could you build Ruby's Hash class from scratch? In this talk, I'll walk you through it. We'll learn what it takes to get the interface we want and maintain O(1) performance as it grows. Help us caption & translate this video! http://amara.org/v/FG2n/
From playlist MWRC 2014
Make A Combination Lock - Intro to Algorithms
This video is part of an online course, Intro to Algorithms. Check out the course here: https://www.udacity.com/course/cs215.
From playlist Introduction to Algorithms