Competitive Online Algorithms Susanne Albers Overview arrive one by one and must be scheduled immediately

Source URL: www14.in.tum.de

• Online algorithms
• Analysis of algorithms
• Computer science
• Applied mathematics
• Computer programming
• K-server problem
• Metrical task system
• Adversary model
• Competitive analysis
• List update problem
• Algorithm
• Randomized algorithm

Online Algorithms: A Study of Graph-Theoretic Concepts Susanne Albers Max-Planck-Institut fur Informatik, Im Stadtwald, 66123 Saarbrucken, Germany. , http://www.mpi-sb.mpg.de/~ albers/

Source URL: www14.in.tum.de

• Online algorithms
• Analysis of algorithms
• Computer science
• Applied mathematics
• Mathematics
• Competitive analysis
• Cache replacement policies
• List update problem
• Algorithm
• K-server problem
• Time complexity
• Adversary model

Mathemati al Programming manus ript No. (will be inserted by the editor) Susanne Albers Online Algorithms: A Survey

Source URL: www14.in.tum.de

• Online algorithms
• Analysis of algorithms
• Adversary model
• List update problem
• K-server problem
• Algorithm
• Randomized algorithm
• Competitive analysis
• Metrical task system

Online Algorithms Susanne Albers University of Freiburg, Germany 1 Introduction This book chapter reviews fundamental concepts and results in the area of

Source URL: www14.in.tum.de

• Online algorithms
• Analysis of algorithms
• Competitive analysis
• Adversary model
• List update problem
• Metrical task system
• K-server problem
• Randomized algorithm
• Algorithm
• Page replacement algorithm
• Ski rental problem

Online Algorithms Susanne Albers Stefano Leonardiy Over the past twelve years, online algorithms have received considerable research interest. Online

Source URL: www14.in.tum.de

• Online algorithms
• Analysis of algorithms
• Theoretical computer science
• Metrical task system
• K-server problem
• Adversary model
• Algorithm
• Competitive analysis
• Randomized algorithm
• Approximation algorithm
• Computational learning theory

Theoretical Computer Science–16 www.elsevier.com/locate/tcs A new lower bound for the list update problem in the partial cost model

Source URL: www.maths.lse.ac.uk

• Online algorithms
• Analysis of algorithms
• List update problem
• Competitive analysis
• Adversary model
• Algorithm
• K-server problem

Online Computation with Advice Yuval Emek1 ? , Pierre Fraigniaud2 ?? , Amos Korman2

Source URL: www.liafa.jussieu.fr

• Computational complexity theory
• Applied mathematics
• Competitive analysis
• K-server problem
• Randomized algorithm
• Metrical task system
• Adversary model
• Minimum spanning tree
• Bin packing problem
• Theoretical computer science
• Online algorithms
• Analysis of algorithms

A Regularization Approach to Metrical Task Systems Jacob Abernethy1, , Peter L. Bartlett1, , Niv Buchbinder2, and Isabelle Stanton1, 1 UC Berkeley {jake,bartlett,isabelle}@eecs.berkeley.edu 2

Source URL: web.eecs.umich.edu

• Applied mathematics
• Analysis of algorithms
• Operations research
• Mathematical optimization
• Metrical task system
• K-server problem
• Vector space
• Dynamic programming
• Randomized algorithm
• Mathematics
• Algebra
• Online algorithms

Solutions, 2004 NCS/MAA TEAM COMPETITION Each problem number is followed by an 11-tuple (a10 , a9 , a8 , a7 , a6 , a5 , a4 , a3 , a2 , a1 , a0 ), where ak is the number of teams that scored k points on the problem. 1. Qu

Source URL: server.math.umanitoba.ca

• Mathematical analysis
• Sine
• Trigonometric functions
• Proof that π is irrational
• Integration by reduction formulae
• Trigonometry
• Mathematics
• Special functions

The set of problems for Mathletics. Problem 1. Find all pairs of positive integers (k, m) such that k! + 12 = m2 . Problem 2. Let a sequence of positive integers have the property that for all positive integers m and n,

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