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Online algorithm
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21	CS264: Beyond Worst-Case Analysis Lecture #3: Online Paging and Resource Augmentation∗ Tim Roughgarden† September 29, Add to Reading List Source URL: theory.stanford.edu Language: English - Date: 2014-10-06 12:17:28 Online algorithms Applied mathematics Mathematics Cache Computer science Analysis of algorithms Virtual memory Sorting algorithms Cache algorithms Competitive analysis CPU cache Algorithm
22	Online Bipartite Matching with Random Arrivals: An Approach Based on Strongly Factor-Revealing LPs ∗ Mohammad Mahdian Add to Reading List Source URL: www.qiqiyan.com.s3-website-us-east-1.amazonaws.com Language: English - Date: 2012-07-04 18:28:36 Mathematics Mathematical analysis Theory of computation Combinatorial optimization Matching Linear programming Approximation algorithm Permutation Measure theory operator
23	Online Authenticated-Encryption and its Nonce-Reuse Misuse-Resistance Viet Tung Hoang1,2 Reza Reyhanitabar3 Add to Reading List Source URL: eprint.iacr.org Language: English - Date: 2015-04-26 02:21:29 Cryptography Initialization vector Authenticated encryption Stream cipher Symmetric-key algorithm Cipher Chosen-plaintext attack Advantage Padding Data Encryption Standard Cryptographic nonce Block cipher mode of operation
24	Page Migration with Limited Local Memory Capacity Susanne Albers? Hisashi Koga?? Add to Reading List Source URL: www14.in.tum.de Language: English - Date: 2013-11-25 11:07:00 Computational complexity theory Mathematics Graph theory Analysis of algorithms Online algorithms Edsger W. Dijkstra Network theory Probabilistic complexity theory Randomized algorithm Algorithm Distributed computing Shortest path problem
25	Batch-Incremental vs. Instance-Incremental Learning in Dynamic and Evolving Data Jesse Read1 , Albert Bifet2 , Bernhard Pfahringer2 , Geoff Holmes2 1 Department of Signal Theory and Communications Add to Reading List Source URL: users.ics.aalto.fi Language: English - Date: 2012-10-25 03:54:39 Statistics Machine learning Learning Artificial intelligence Statistical classification Data mining Concept drift Massive Online Analysis K-nearest neighbors algorithm Support vector machine Stochastic gradient descent Batch processing
26	Online and Offline Learning in Multi-Objective Monte Carlo Tree Search Diego Perez, Spyridon Samothrakis and Simon Lucas School of Computer Science and Electronic Engineering University of Essex, Colchester CO4 3SQ, UK d Add to Reading List Source URL: eldar.mathstat.uoguelph.ca Language: English - Date: 2016-07-12 12:05:04 Mathematical optimization Applied mathematics Mathematics Numerical analysis Multi-objective optimization Pareto efficiency Genetic algorithm Multidisciplinary design optimization Evolutionary algorithm Algorithm MOEA Framework Monte Carlo tree search
27	What Works Best When? A Framework for Systematic Heuristic Evaluation Iain Dunning, Swati Gupta, John Silberholz Operations Research Center, Massachusetts Institute of Technology, Cambridge, MA 02139 , sw Add to Reading List Source URL: www.optimization-online.org Language: English - Date: 2015-05-04 12:28:03 Operations research Heuristics Mathematics Mathematical optimization Cognition Applied mathematics Search algorithms Hyper-heuristic Travelling salesman problem Genetic algorithm Algorithm Local search
28	239 Documenta Math. Ronald Graham: Laying the Foundations of Online Optimization Add to Reading List Source URL: documenta.sagemath.org Language: English - Date: 2012-07-25 10:25:05 Scheduling Operations research Mathematics Applied mathematics Computer science Makespan Online algorithm Job Competitive analysis Algorithm Optimization problem Job shop scheduling
29	Algorithms and Data Structures (WS15/16) Example Solutions for Unit 3 Problem 1 Algorithm: for the simplicity let’s assume that n = 2k, algorithm can be easily modified if n = 2k + 1 by using one additional comparison Add to Reading List Source URL: www-tcs.cs.uni-sb.de Language: English - Date: 2016-03-02 15:13:55 Analysis of algorithms Online algorithms Adversary model Algorithm Mathematics
30	Convergence of Hypervolume-Based Archiving Algorithms II: Competitiveness Submission to GECCO Track “Evolutionary Multiobjective Optimization (EMO)” ABSTRACT We study the convergence behavior of (µ + λ)-archiving a Add to Reading List Source URL: people.mpi-inf.mpg.de Language: English - Date: 2016-01-03 06:45:34 Mathematics Algorithm Mathematical logic Theoretical computer science Mu Greedy algorithm Online algorithm Discrete mathematics

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