Substring indices | Automata (computation)
A factor oracle is a finite state automaton that can efficiently search for factors (substrings) in a body of text. Older techniques, such as suffix trees, were time-efficient but required significant amounts of memory. Factor oracles, by contrast, can be constructed in linear time and space in an incremental fashion. (Wikipedia).
Factor a trinomial when not in standard form
👉Learn how to factor quadratics. A quadratic is an algebraic expression having two as the highest power of its variable(s). To factor an algebraic expression means to break it up into expressions that can be multiplied together to get the original expression. To factor a quadratic with th
From playlist Factor Quadratic Expressions
👉Learn how to factor quadratics. A quadratic is an algebraic expression having two as the highest power of its variable(s). To factor an algebraic expression means to break it up into expressions that can be multiplied together to get the original expression. To factor a quadratic with th
From playlist Factor Quadratic Expressions
Factoring the GCF from a binomial, 4x^2 + 24x
👉Learn how to factor quadratics. A quadratic is an algebraic expression having two as the highest power of its variable(s). To factor an algebraic expression means to break it up into expressions that can be multiplied together to get the original expression. To factor a quadratic, all we
From playlist Factor Quadratic Expressions | GCF
Factoring a trinomial using the diamond method
👉Learn how to factor quadratics. A quadratic is an algebraic expression having two as the highest power of its variable(s). To factor an algebraic expression means to break it up into expressions that can be multiplied together to get the original expression. To factor a quadratic with th
From playlist Factor Quadratic Expressions
Using factor trees to identify the GCF and factor it out of a binomial
👉Learn how to factor quadratics. A quadratic is an algebraic expression having two as the highest power of its variable(s). To factor an algebraic expression means to break it up into expressions that can be multiplied together to get the original expression. To factor a quadratic, all we
From playlist Factor Quadratic Expressions | GCF
How to factor a trinomial when your middle and constant are negative
👉Learn how to factor quadratics. A quadratic is an algebraic expression having two as the highest power of its variable(s). To factor an algebraic expression means to break it up into expressions that can be multiplied together to get the original expression. To factor a quadratic with th
From playlist Factor Quadratic Expressions
How to factor a trinomial using diamond method
👉Learn how to factor quadratics. A quadratic is an algebraic expression having two as the highest power of its variable(s). To factor an algebraic expression means to break it up into expressions that can be multiplied together to get the original expression. To factor a quadratic with th
From playlist Factor Quadratic Expressions
Introduction into factoring quadratics
👉Learn how to factor quadratics. A quadratic is an algebraic expression having two as the highest power of its variable(s). To factor an algebraic expression means to break it up into expressions that can be multiplied together to get the original expression. To factor a quadratic with th
From playlist Factor Quadratic Expressions
How to factor a trinomial when a is one
👉Learn how to factor quadratics. A quadratic is an algebraic expression having two as the highest power of its variable(s). To factor an algebraic expression means to break it up into expressions that can be multiplied together to get the original expression. To factor a quadratic with th
From playlist Factor Quadratic Expressions
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
Black Hat USA 2010: Hacking and Protecting Oracle Database Vault 1/5
Speaker: Esteban MartÃnez 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
This lecture is an informal introduction to the P=NP question in computer science: are nondeterministic polynomial time problems (NP) the same as polynomial time problems (P)? We describe what these terms mean, give a brief history, and examine some of the arguments for and against this qu
From playlist Math talks
Csaba Szepesvari: "Model misspecification in reinforcement learning"
Intersections between Control, Learning and Optimization 2020 "Model misspecification in reinforcement learning" Csaba Szepesvari - University of Alberta Abstract: Model misspecification refers to that the assumed model class used in a learning/reasoning algorithm represents an imperfect
From playlist Intersections between Control, Learning and Optimization 2020
DEFCON 18: Hacking and Protecting Oracle Database Vault 1/4
Speaker: Esteban MartÃnez 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
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
Hardness of Randomized Truthful Mechanisms for Combinatorial Auctions - Jan Vondrak
Jan Vondrak IBM Almaden March 26, 2012 The problem of combinatorial auctions is one of the basic questions in algorithmic mechanism design: how can we allocate/sell m items to n agents with private valuations of different combinations of items, so that the agents are motivated to reveal th
From playlist Mathematics
Ben Adcock: Compressed sensing and high-dimensional approximation: progress and challenges
Abstract: Many problems in computational science require the approximation of a high-dimensional function from limited amounts of data. For instance, a common task in Uncertainty Quantification (UQ) involves building a surrogate model for a parametrized computational model. Complex physica
From playlist Numerical Analysis and Scientific Computing
Algebra - Ch. 6: Factoring (2 of 55) What is Factoring?
Visit http://ilectureonline.com for more math and science lectures! In this video I will explain what is factoring. Factoring is the process of taking a number or an expression and writing it as a product of it's factor. (It is the reverse of applying the distributive property.) To donat
From playlist ALGEBRA CH 6 FACTORING
Lecture 5 | Convex Optimization II (Stanford)
Lecture by Professor Stephen Boyd for Convex Optimization II (EE 364B) in the Stanford Electrical Engineering department. Professor Boyd introduces stochastic programing and the localization and cutting-plane methods. This course introduces topics such as subgradient, cutting-plane, and
From playlist Lecture Collection | Convex Optimization