Mathematical optimization | Convex optimization | Computation oracles
A separation oracle (also called a cutting-plane oracle) is a concept in the mathematical theory of convex optimization. It is a method to describe a convex set that is given as an input to an optimization algorithm. Separation oracles are used as input to ellipsoid methods. (Wikipedia).
Differential Equations: Separation of Variables
This video provides several examples of how to solve a DE using the technique of separation of variables. website: http://mathispower4u.com blog: http://mathispower4u.wordpress.com
From playlist First Order Differential Equations: Separation of Variables
11_3_6 Continuity and Differentiablility
Prerequisites for continuity. What criteria need to be fulfilled to call a multivariable function continuous.
From playlist Advanced Calculus / Multivariable Calculus
From playlist Music.
Integration by substitution -- Calculus I
This lecture is on Calculus I. It follows Part I of the book Calculus Illustrated by Peter Saveliev. The text of the book can be found at http://calculus123.com.
From playlist Calculus I
Integral Calculus Q&A (1 of 6: Separating an integrand)
More resources available at www.misterwootube.com
From playlist Integral Calculus
A silent video testing series for convergence or divergence using the comparison test
From playlist 242 spring 2012 exam 3
Ex 1: Differential Equations: Separation of Variables
This video solves a differential equation using separation of variables. Video Library: http://mathispower4u.com Search by Topic: http://mathispower4u.wordress.com
From playlist First Order Differential Equations: Separation of Variables
Haotian Jiang: Minimizing Convex Functions with Integral Minimizers
Given a separation oracle SO for a convex function f that has an integral minimizer inside a box with radius R, we show how to find an exact minimizer of f using at most • O(n(n + log(R))) calls to SO and poly(n,log(R)) arithmetic operations, or • O(nlog(nR)) calls to SO and exp(O(n)) · po
From playlist Workshop: Continuous approaches to discrete optimization
Yin Tat Lee & Aaron Sidford: Faster Cutting Plane Methods and Improved Running Times for Submodular
Yin Tat Lee & Aaron Sidford: Faster Cutting Plane Methods and Improved Running Times for Submodular Function Minimization In this talk we will present a new cutting plane method and show how this technique can be used to achieve faster asymptotic running times for fundamental problems in
From playlist HIM Lectures 2015
(ML 13.11) D-separation (part 2)
Definition of d-separation, and statement of the d-separation theorem for "reading off" conditional independence properties from directed graphical models.
From playlist Machine Learning
Oracle Separation of Quantum Polynomial time and the Polynomial Hierarchy - Avishay Tal
Computer Science/Discrete Mathematics Seminar I Topic: Oracle Separation of Quantum Polynomial time and the Polynomial Hierarchy Speaker: Avishay Tal Affiliation: University of California, Berkeley Date: Oct 1, 2018 For more video please visit http://video.ias.edu
From playlist Mathematics
22. Provably Intractable Problems, Oracles
MIT 18.404J Theory of Computation, Fall 2020 Instructor: Michael Sipser View the complete course: https://ocw.mit.edu/18-404JF20 YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP60_JNv2MmK3wkOt9syvfQWY Quickly reviewed last lecture. Introduced exponential complexity clas
From playlist MIT 18.404J Theory of Computation, Fall 2020
Equality Alone Does not Simulate Randomness- Marc Vinyals
Computer Science/Discrete Mathematics Seminar I Topic: Equality Alone Does not Simulate Randomness Speaker: Marc Vinyals Affiliation: Technion Date: January 27, 2020 For more video please visit http://video.ias.edu
From playlist Mathematics
DEFCON 18: Hacking and Protecting Oracle Database Vault 1/4
Speaker: Esteban Martínez Fayó Oracle Database Vault was launched a few years ago to put a limit on DBAs unlimited power especially over highly confidential data where it is required by regulations. This presentation will show how this add-on product for Oracle Database performs on this
From playlist DEFCON 18-1
Stefan Weltge: Speeding up the Cutting Plane Method?
We consider the problem of maximizing a linear functional over a general convex body K given by a separation oracle. While the standard cutting plane algorithm performs well in practice, no bounds on the number of oracle calls can be given. In contrast, methods with strong theoretical guar
From playlist Workshop: Continuous approaches to discrete optimization
Black Hat USA 2010: Hacking and Protecting Oracle Database Vault 1/5
Speaker: Esteban Martínez Fayó Oracle Database Vault was launched a few years ago to put a limit on DBAs unlimited power especially over highly confidential data where it is required by regulations. This presentation will show how this add-on product for Oracle Database performs on this d
From playlist BH USA 2010 - WHERE DATA LIVES
A Framework for Quadratic Form Maximization over Convex Sets -Vijay Bhattiprolu
Computer Science/Discrete Mathematics Seminar II Topic: A Framework for Quadratic Form Maximization over Convex Sets Speaker: Vijay Bhattiprolu Affiliation: Member, School of Mathematics Date: April 28, 2020 For more video please visit http://video.ias.edu
From playlist Mathematics
Hacktivity 2010: Post Exploitation Techniques in Oracle Databases
Speaker: László Tóth
From playlist Hacktivity 2010
The concept of “dimension” in measured signals
This is part of an online course on covariance-based dimension-reduction and source-separation methods for multivariate data. The course is appropriate as an intermediate applied linear algebra course, or as a practical tutorial on multivariate neuroscience data analysis. More info here:
From playlist Dimension reduction and source separation