SMOOTH NUMBERS AND THE QUADRATIC SIEVE Carl Pomerance When faced with a large number n to factor, what do you do first? You might say “Look at the last digit,” with the idea of cheaply pulling out possible factors of

Source URL: www.mat.uniroma2.it

• Mathematics
• Integer factorization algorithms
• Number theory
• Quadratic sieve
• Special number field sieve
• Quadratic residue
• General number field sieve
• Prime number
• Lenstra elliptic curve factorization
• Sieve of Eratosthenes
• Euclidean algorithm
• Prime-counting function

This talk is divided into 7 parts. Part 1 begins with a quick look at the SSA optimization framework and global value numbering. Part 2 describes a well known brute force algorithm for GVN. Part 3 modifies this to arriv

Source URL: www.sable.mcgill.ca

• Compiler optimizations
• Search algorithms
• Arrays
• Global value numbering
• Static single assignment form
• Hash function
• Hash table
• Algorithm
• Lookup table
• Congruence

Experimental evaluation of modern variable selection strategies in Constraint Satisfaction Problems Thanasis Balafoutis1 and Kostas Stergiou1 Department of Information & Communication Systems Engineering University of th

Source URL: ceur-ws.org

• Constraint programming
• Operations research
• Constraint satisfaction problem
• Local consistency
• Mathematical optimization
• Heuristic
• Integer programming
• Constraint satisfaction
• Search algorithm
• Local search
• Look-ahead
• Decomposition method

Homework #10 Tips A. Phrase Structure Rules as Mini-Trees It may help to think of phrase structure rules as pieces of trees. For example, the rule VP → V (NP) (PP) would look like this: VP V

Source URL: people.umass.edu

• Syntax
• Syntactic categories
• Phrase structure rules
• Phrase
• NP
• PRO
• Parsing
• Left corner
• CYK algorithm

Experimental evaluation of modern variable selection strategies in Constraint Satisfaction Problems Thanasis Balafoutis1 and Kostas Stergiou1 Department of Information & Communication Systems Engineering University of th

Source URL: tmancini.di.uniroma1.it

• Constraint programming
• Operations research
• Constraint satisfaction problem
• Local consistency
• Mathematical optimization
• Heuristic
• Integer programming
• Constraint satisfaction
• Search algorithm
• Local search
• Look-ahead
• Decomposition method

To appear in the 18th ACM Symposium on Operating Systems Principles (SOSPAnticipatory scheduling: A disk scheduling framework to overcome deceptive idleness in synchronous I/O Sitaram Iyer

Source URL: www.cs.rice.edu

• Anticipatory scheduling
• Scheduling algorithms
• Scheduling
• I/O scheduling
• LOOK algorithm
• Round-robin scheduling
• Work-conserving scheduler
• Windows Task Scheduler
• Asynchronous I/O
• Noop scheduler
• CFQ

AM 121: Intro to Optimization Models and Methods Lecture 5: Tableau, first look at the simplex algorithm Yiling Chen

Source URL: am121.seas.harvard.edu

Chapter 12 Digital signatures In the public key setting, the primitive used to provide data integrity is a digital signature scheme. In this chapter we look at security notions and constructions for this primitive.

Source URL: cseweb.ucsd.edu

• RSA
• Full Domain Hash
• Cryptographic hash function
• Random oracle
• PKCS
• Lamport signature
• Rabin signature algorithm
• Cryptography
• Public-key cryptography
• Digital signature

Rabin’s     Informa.on  Dispersal  Algorithm:     A  Prescient  Look  at     Coding  on  Networks   Michael  Mitzenmacher  

Source URL: people.seas.harvard.edu

• Finite fields
• Information theory
• Mathematics
• Coding theory
• Matrix
• Error detection and correction

Editors’ Introduction Sanjay Jain, R´emi Munos, Frank Stephan, and Thomas Zeugmann The aim of the series of conferences on Algorithmic Learning Theory (ALT) is to look at learning from algorithmic and mathematical per

Source URL: www-alg.ist.hokudai.ac.jp

• Artificial intelligence
• Theoretical computer science
• Learning
• Probably approximately correct learning
• Inductive inference
• Active learning
• Algorithm
• Reinforcement learning
• Book:Machine Learning - The Complete Guide
• Machine learning
• Computational learning theory
• Applied mathematics