CS124 Lecture 12 12.1 Near duplicate documents1 Suppose we are designing a major search engine. We would like to avoid answering user queries with multiple copies of the same page. That is, there may be several pages with exactly the same text. These duplicates occur for a variety of reasons. Some are mirror sites, some […]
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CS124 Lecture 10 Spring 2016 10.1 The Birthday Paradox How many people do there need to be in a room before with probability greater than 1/2 some two of them have the same birthday? (Assume birthdays are distributed uniformly at random.) Surprisingly, only 23. This is easily determined as follows: the probability the first two
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\documentclass[11pt]{article} \usepackage{fullpage} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsmath} \usepackage{xcolor} \usepackage{algorithm} \usepackage{algorithmic} \newcommand{\F}{\mathbb{F}} \newcommand{\np}{\mathop{\rm NP}} %\newcommand{\binom}[2]{{#1 \choose #2}} \newcommand{\Z}{{\mathbb Z}} \newcommand{\vol}{\mathop{\rm Vol}} \newcommand{\conp}{\mathop{\rm co-NP}} \newcommand{\atisp}{\mathop{\rm ATISP}} \renewcommand{\vec}[1]{{\mathbf #1}} \newcommand{\cupdot}{\mathbin{\mathaccent\cdot\cup}} \newcommand{\mmod}[1]{\ (\mathrm{mod}\ #1)} \setlength{\parskip}{\medskipamount} \setlength{\parindent}{0in} %\input{dansmacs} \begin{document} \section*{CS 124 Homework 1: Spring 2021} \textbf{Your name:} \textbf{Collaborators:} \textbf{No. of late days used on previous psets: }\\ \textbf{No. of late days used
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Shortest paths and Minimum Spanning Tree CS 124 Section 2 Zuzanna Skoczylas •We use a queue (first-in first-out) to keep track of which vertices have already been visited. Unlike Depth-first search, we visit all of our closest neighbors before moving on to further ones. •Can be used to find the shortest path when all the
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CS 124 Homework 1: Spring 2021 Your name: Collaborators: No. of late days used on previous psets: No. of late days used after including this pset: Homework is due Wednesday at midnight ET. You are allowed up to twelve (college)/forty (ex- tension school) late days through the semester, but the number of late days you
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Internet Mathematics Vol. 1, No. 4: 485-509 Network Applications of Bloom Filters: A Survey Andrei Broder and Michael Mitzenmacher Abstract. A Bloom filter is a simple space-efficient randomized data structure for representing a set in order to support membership queries. Bloom filters allow false positives but the space savings often outweigh this drawback when the
\documentclass[11pt]{article} \usepackage{fullpage} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsmath} \usepackage{xcolor} \usepackage{algorithm} \usepackage{algorithmic} \newcommand{\F}{\mathbb{F}} \newcommand{\np}{\mathop{\rm NP}} %\newcommand{\binom}[2]{{#1 \choose #2}} \newcommand{\Z}{{\mathbb Z}} \newcommand{\vol}{\mathop{\rm Vol}} \newcommand{\conp}{\mathop{\rm co-NP}} \newcommand{\atisp}{\mathop{\rm ATISP}} \renewcommand{\vec}[1]{{\mathbf #1}} \newcommand{\cupdot}{\mathbin{\mathaccent\cdot\cup}} \newcommand{\mmod}[1]{\ (\mathrm{mod}\ #1)} \def\O{\mathop{\smash{O}}\nolimits} \def\o{\mathop{\smash{o}}\nolimits} \newcommand{\e}{{\rm e}} \newcommand{\R}{{\bf R}} \renewcommand{\Z}{{\bf Z}} \setlength{\parskip}{\medskipamount} \setlength{\parindent}{0in} %\input{dansmacs} \begin{document} \section*{CS 124 Homework 2: Spring 2021} \textbf{Your name:} \textbf{Collaborators:} \textbf{No. of late days used on
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CS 124 Lecture 11 11.1 Applications: Fingerprinting for pattern matching Suppose we are trying to find a pattern string P in a long document D. How can we do it quickly and efficiently? Hash the pattern P into say a 16 bit value. Now, run through the file, hashing each set of |P| consecutive characters
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Quantum Computation and Quantum Information 10th Anniversary Edition . Nielsen & . AMBRIDGE UNIVERSITY PRESS Cambridge, , Melbourne, Madrid, Cape Town, Singapore, Sa ̃o Paulo, Delhi, Dubai, Tokyo, Mexico City Copyright By PowCoder代写 加微信 powcoder Cambridge University Press The Edinburgh Building, Cambridge CB2 8RU, UK Published in the United States of America by Cambridge University
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Matrix Multiplication and Cache Friendly Code COMP 273 Winter 2021 – Assignment 4, Prof. Kry Available: 24 March – Due date: 12 April 1 Introduction In this assignment you will write code to multiply two square n × n matrices of single precision floating point numbers, and then optimize the code to exploit a memory