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	Online algorithm - Wikipedia, the free encyclopedia
		In computer science, an online algorithm is one that can process its input piece-by-piece, without having the entire input available from the start.
		In contrast, an offline algorithm is given the whole problem data from the beginning and is required to output an answer which solves the problem at hand.
		As an example of the problem consider the problem of finding a shortest path in a finite connected graph when the graph is unknown and the algorithm receives the node neighbours only when it "enters" the node.
	en.wikipedia.org /wiki/Online_computations_and_algorithms (185 words)

	Learn more about Euclidean algorithm in the online encyclopedia. (Site not responding. Last check: 2007-10-14)
		The Euclidean algorithm (also called Euclid's algorithm) is an algorithm to determine the greatest common divisor (GCD) of two integers.
		When analyzing the runtime of Euclid's algorithm, it turns out that the inputs requiring the most steps are two successive Fibonacci numbers, and the worst case requires Θ(n) divisions, where n is the number of digits in the input (see Big O notation).
		The quotients that appear when the Euclidean algorithm is applied to the inputs a and b are precisely the numbers occurring in the continued fraction representation of a/b.
	www.onlineencyclopedia.org /e/eu/euclidean_algorithm.html (667 words)

	Algorithm (Site not responding. Last check: 2007-10-14)
		Algorithms are essential to the way computers process information, because a computer program is essentially an algorithm that tells the computer what specific steps to perform, in what specific order, to carry out a specific task, such as calculating the employees' paychecks or printing the students' report cards.
		Algorithms are now most often implemented as computer programs but can also be implemented otherwise, for example as electric circuits or mechanically.
		The general study of algorithms is a central part of computer science, going further than in programming languages that are designed for practical implementation.
	www.websign.sk /al/Algorithm.html (588 words)

	[No title] (Site not responding. Last check: 2007-10-14)
		Because recipe prediction algorithms and color prediction algorithms are optimized for different purposes, it is desirable for users to have access to an assortment of recipe prediction algorithms and color recommendation algorithms, each of which are optimized for a certain purpose.
		The algorithm exchange 100 forwards the color data from the user 105 or color exchange to the developer 110 associated with the recipe generation algorithm, wherein the data is used as inputs to the coloring algorithm.
		A method for using a coloring algorithm, said method comprising: receiving a selection from a client computer of a particular one of a plurality of coloring algorithms at a server computer; and receiving color measurements as inputs to the particular one of the plurality of coloring algorithms.
	www.wipo.int /cgi-pct/guest/getbykey5?KEY=02/29628.020411&ELEMENT_SET=DECL (2316 words)

	October 1998/An Algorithm for Online Data Compression (Site not responding. Last check: 2007-10-14)
		For the purpose of this article, I define online data compression as the compression of stream-based material where the compressor/decompressor pair must be able to process data at a rate equivalent to the input rate.
		Similar to the Deflate algorithm, it is a combination of the LZ77 algorithm and Huffman-like encoding.
		The LZH-Light algorithm is much more efficient (with both a higher speed and a higher compression ratio) than Deflate when low memory usage (less than 64 Kb for the compressor and the decompressor combined) is required.
	www.tcnj.edu /~hernande/cujv5/html/16.10/ignatche/ignatche.htm (3592 words)

	Conclusions and Further Research (Site not responding. Last check: 2007-10-14)
		The essential result of combining the Bayesian online learning from Chapter 2 with sparsity is the sparse online algorithm presented in Section 3.6.
		The online nature of the algorithm with a single processing of each input is prohibitive for data sets with moderate sizes but for which the full GP representation still impractical.
		We saw that the sparse online algorithm, due to its greedy nature, had its running time scaling linearly with the data while at the same time the number of parameters was kept constant.
	www.ncrg.aston.ac.uk /Projects/SSGP/thesis/Conclusions_Further.html (1551 words)

	MobileAgentPaper
		Sets of simulation and algorithm comparisons are carried out to demonstrate the feasibility and effectiveness of the proposed solution in both theoretical and practical e-business environments.
		The online leasing problem could be expressed as when to stop renting and choose buying with the aim of a minimised overall spending cost on that equipment.
		A competitive algorithm focuses on minimising the worst case ratio of the online cost to the optimal offline cost, as given in relation (1).
	ausweb.scu.edu.au /aw04/papers/refereed/yang/paper.html (5282 words)

	CS20c Progress Report
		The algorithm is online because it serves to dictate the movements of the robot in real-time given only information about the robot's position and immediate surroundings.
		A significant portion of the algorithm described in the paper is based upon concepts originally developed by the author in a previous paper [Blum1991].
		In simple scenes this algorithm reduces to a simple pattern of "sweeps." A sweep is a transveral of a fence, which is a simple structure composed of obstacles.
	www.cs.caltech.edu /~flogbert/progress.html (758 words)

	Sparsity and the Expectation-Propagation Algorithm (Site not responding. Last check: 2007-10-14)
		The EP algorithm induces an alternative parametrisation to the posterior GP: it is written as the prior and a product of conjugates of the posterior family, the contribution of the individual examples.
		The algorithm is sketched in Section 4.6 and the chapter finishes with conclusions and discussions.
		, the end-result of the online iterations, as
	www.ncrg.aston.ac.uk /Projects/SSGP/thesis/Sparsity_Expectation_Propag.html (3845 words)

	CS174 Spring 99, Lecture 17 Summary
		Because the behavior of an online algorithm depends on a stream of inputs interleaved with the online algorithm’s outputs, in order to analyze the online algorithm, its necessary to have a model of what produces those inputs.
		It means that the online algorithm is only a little worse than the optimal offline algorithm.
		A big C means that the online algorithm has many times more cache misses than the optimal offline algorithm.
	www.cs.berkeley.edu /~jfc/cs174lecs/lec17/lec17.html (2295 words)

	Dictionary of Algorithms and Data Structures
		This is a dictionary of algorithms, algorithmic techniques, data structures, archetypical problems, and related definitions.
		We do not include algorithms particular to business data processing, communications, operating systems or distributed algorithms, programming languages, AI, graphics, or numerical analysis: it is tough enough covering "general" algorithms and data structures.
		Data Structures and Algorithms is a wonderful site with illustrations, explanations, analysis, and code taking the student from arrays and lists through trees, graphs, and intractable problems.
	www.nist.gov /dads (612 words)

	[No title] (Site not responding. Last check: 2007-10-14)
		An online algorithm is an optimization algorithm which works under the handicap of an uncertain future.
		An online algorithm for a given problem is said to be c-competitive if for all problem instances the cost of the algorithm's solution is at most c times the cost of the optimal solution on that same problem instance.
		This algorithm is the first randomized algorithm for $m \geq 3$, and provides the best known competitive ratios for $m=3, \ldots, 7$.
	www.cs.unr.edu /~bebis/colloq97-98_abstracts/seiden.html (353 words)

	[No title]
		In Section IV, an online scheduling algorithm is suggested by analysis of the form of the offline scheduling algorithm.
		Online Scheduling: For the online scheduling algorithm, the packet arrival times are not known in advance and we assume a Poisson process with rate EMBED Equation.3 for packet arrivals.
		The Lazy algorithm proposed is tuned to Poisson arrivals, because (8) is obtained under the assumption of Poisson process for arrival rates.
	www.stanford.edu /class/ee360/Ahmad/Mohseni.doc (2953 words)

	NIPS2000 Online Abstracts and Papers (Site not responding. Last check: 2007-10-14)*
		An algorithm is $\mu$-successful if the agreement ratio of the half-space it outputs is as good as that of any half-space once training points that are inside the $\mu$-margins of its separating hyper-plane are disregarded.
		The method is based on a combination of a Bayesian online algorithm together with a sequential construction of a relevant subsample of the data which fully specifies the prediction of the model.
		However, the billiard algorithm as presented in [Herbrich et al., 2000] is restricted to small sample size because it requires $\mathcal{O}(m^{2})$ of memory and $\mathcal{O}(N\cdot m^2)$ computational steps where $m$ is the number of training patterns and $N$ is the number of random draws from the posterior distribution.
	www.cs.cmu.edu /Groups/NIPS/NIPS2000/00abstracts.html (19103 words)

	CSC 789 at UNLV, Fall 2003. Randomized Online Algorithms.
		We will discover that it is impossible to optimize the online case, in fact, the best that any online algorithm can do is to find a solution that costs twice as much as the optimal solution.
		In particular, we prove that the competitiveness of any deterministic online algorithm for the cache management problem, where the cache size is k, cannot be less than k.
		Today we will give a simple randomized algorithm for the 2-cache problem that uses an unlimited number of bookmarks, and then prove that its competitiveness is optimal, that is, H
	www.egr.unlv.edu /~larmore/Courses/CSC789/F03/Assignments (1208 words)

	An Online Algorithm for Dimension-Bound Analysis (Site not responding. Last check: 2007-10-14)
		We present an online algorithm to compute the dimension of a distributed computation.
		This algorithm requires the computation of the critical pairs of the partial order followed by the creation of extensions of the partial order.
		This is our next step toward the goal of creating an online vector clock whose size is bounded by the dimension of a distributed computation, not by the number of processes.
	ccnga.uwaterloo.ca /~pasward/Publications/europar99Abstract.shtml (127 words)

	Online Algorithm for Computing a Minimal Spanning Tree
		In NearPoints, steps 3-9 consist of an examination of O(n) points, where n is the number of points in the set S. We iterate this from steps 2-10, a number of times equal to the number of points marked.
		Algorithm AddToMST(T,x) utilizes Theorem 1 in its construction in the sense that it only considers the edges from x to its near points.
		Then c is not a near point of x, since after v is marked in step 4 of the algorithm, c will be deleted from the list of possible candidates for the near points.
	cgm.cs.mcgill.ca /~soss/geometry/online_mst.html (3554 words)

	An Optimal Deterministic Algorithm for Online b-Matching (ResearchIndex)
		Abstract: We study the online unweighted b-matching problem where at most b 1 requests can be matched to any server site.
		We present a deterministic algorithm Balance whose competitive ratio is 1 \Gamma 1 (1+ 1 b) b.
		We show that the competitive ratio of every deterministic online algorithm is at least 1 \Gamma 1 (1+ 1 b) b.
	citeseer.ist.psu.edu /8238.html (325 words)

	serial codes and online games - FileForums
		For online gameing the keys are registered i think but on the cd is only an algorithm which the key must pass.
		The check for this simple algorithm is used in the software, so anyone can reverse engineer it and make his own key gen. The trick is, the real keys are most of the time a SUBset of the large collection that the simple algorithm generated.
		This uses a different algorithm, and this algorithm is closely guarded and never used in the software itself, but is used on the keycheck servers which are controlled by the publishers.
	www.fileforums.com /showthread.php?t=62938 (807 words)

	An #tex2html_wrap_inline18# Algorithm for Online BDD Refinement (Site not responding. Last check: 2007-10-14)
		In this paper, we consider a natural online BDD refinement problem and show that it can be solved in
		Our algorithm is based on a new understanding of the interplay between the splitting and growing of classes of nodes.
		We apply our algorithm to show that automata with exponentially large, but implicitly represented alphabets, can be minimized in time
	www.brics.dk /BRICS/RS/95/29 (156 words)

	Caltech Parallel and Distributed Systems Group - An Online Algorithm for Checkpointing Placement
		The algorithm uses on-line knowledge of the current cost of a checkpoint when it decides whether or not to place a checkpoint.
		The total overhead of the execution time when the proposed algorithm is used is smaller than the overhead when fixed intervals are used.
		Although the proposed algorithm uses only on-line knowledge about the cost of checkpointing, its behavior is close to the off-line optimal algorithm that uses a complete knowledge of checkpointing cost.
	resolver.caltech.edu /CaltechPARADISE:1995.ETR006 (236 words)

	Algorithms Courses on the WWW (Site not responding. Last check: 2007-10-14)
		Michel X. Goemans, MIT Postscript lecture notes on online algorithms, randomized algorithms, network algorithms, linear programming, and approximation algorithms.
		Stony Brook algorithm repository maintained by Steven Skiena
		Analysis of Algorithms : Philippe Flajolet, Rocquencourt, and
	www.cs.pitt.edu /~kirk/algorithmcourses (180 words)

	The Stony Brook Algorithm Repository (Site not responding. Last check: 2007-10-14)
		This WWW page is intended to serve as a comprehensive collection of algorithm implementations for over seventy of the most fundamental problems in combinatorial algorithms.
		The problem taxonomy, implementations, and supporting material are all drawn from my book The Algorithm Design Manual.
		Since the practical person is more often looking for a program than an algorithm, we provide pointers to solid implementations of useful algorithms, when they are available.
	www.cs.sunysb.edu /~algorith (301 words)

	An Online Algorithm for Segmenting Time Series (Site not responding. Last check: 2007-10-14)
		A variety of algorithms have been proposed to obtain this representation, with several algorithms having been independently rediscovered several times.
		We show that all these algorithms have fatal flaws from a data mining perspective.
		We introduce a novel algorithm that we empirically show to be super or to all others n the literature.
	csdl.computer.org /comp/proceedings/icdm/2001/1119/00/11190289abs.htm (201 words)

	An Online Algorithm for Segmenting Time Series - Keogh, Chu, Hart, Pazzani (ResearchIndex) (Site not responding. Last check: 2007-10-14)
		This representation has been used by various researchers to support clustering, classification, indexing and association rule mining of time series data.
		A variety of algorithms have been proposed to obtain this...
		An Online Algorithm for Segmenting Time Series - Keogh, Chu, Hart, Pazzani (2001)
	citeseer.ist.psu.edu /482835.html (359 words)

	[No title]
		If we had known all the red and blue nodes initially, we could compute the minimum-cost matching M*.
		The competitive ratio of our algorithm is the maximum, over all sequences of blue nodes, of C(M)/C(M*).
		Police cars at various locations, emergencies arise one at a time, must move a police car to each emergency.
	www.cs.ucla.edu /~awm/talks/OnlineMatch.ppt (353 words)

	PASCAL -
		We present an algorithmic framework for phoneme classification where the set of phonemes is organized in a predefined hierarchical structure.
		We describe a new online algorithm for solving the hierarchical classification problem and provide worst-case loss analysis for the algorithm.
		We demonstrate the merits of our approach by applying the algorithm to synthetic data and as well as speech data.
	eprints.pascal-network.org /archive/00000880 (184 words)

	HelioCentrix -- the Online Algorithm Design Lab (Site not responding. Last check: 2007-10-14)
		In the distinctly different field of Software Systems Analysis and Design, module strength properties like Coupling and Cohesion can be characterized in Graph Theoretic terms.
		Tamassia, R. Algorithms for Plane Representations of Acyclic Digraphs", Theoretical Computer Science 61 (1988) 175-198.
		For this code writing feature to be at all useful, you would actually need to know how to write programs in "C", since this vendor disclaims any warranties for the correctness of the source code produced.
	zephyrcoast.net (1169 words)

	algorithm to diagnose acute sinusitis - algorithm to diagnose acute sinusitis online guide (Site not responding. Last check: 2007-10-14)
		Medical Information - Help you find best algorithm to diagnose acute sinusitis information online.
		Algorithm To Diagnose Acute Sinusitis in the Free Online Encyclopedia
		Read about Algorithm To Diagnose Acute Sinusitis in the free online encyclopedia and dictionary.
	www.medical-123.us /sinusitis/algorithm-to-diagnose-acute-sinusitis.html (231 words)

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