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Wexler Algorithm
Wexler Algorithm

The triggering learning algorithm and the problem of local maxima

Our analysis shows that the expected time complexity of the new algorithm is. In simulations, our algorithm speeds up computation by a factor of for sequences of length Springer Professional.

Springer Wexler Algorithm. Zurück zum Suchergebnis. Abstract In the universal facility location problem, we are given a set of clients and facilities. Our goal is to find an assignment such that the total connection and facility cost is minimized. The connection cost is proportional to the distance between each client and its assigned facility, whereas the facility cost is a nondecreasing function with respect to the total number of clients assigned to the facility. The universal facility location problem generalizes several classical facility location problems, including the uncapacitated facility location problem and the capacitated facility location problem both hard and soft capacities.

Baumann, Andreas The triggering learning algorithm and the problem of local maxima. Diplomarbeit, Universität Wien. Philologisch-Kulturwissenschaftliche Fakultät BetreuerIn:

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Wexler Algorithm

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der Basis des von Gibson & Wexler () diskutierten „Triggering Learning Algorithm“ konzipierten konventionellen Erwerbsmechanismus und andererseits . Highly experienced Algorithms Development expert, providing R&D services to a wide range of leading companies in Israel. Most projects are involved with. The current pairwise RNA (secondary) structural alignment algorithms are based on Autoren: Michal Ziv-Ukelson, Irit Gat-Viks, Ydo Wexler, Ron Shamir.
Wexler Algorithm

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Journal of Algorithms 31 (), – Hochbaum, D.S. []: Heuristics for (), – und Wexler, T. []: Facilitylocation with hard capacities. In the universal facility location problem, we are given a set of clients and facilities. Our goal is to find an assignment such that the total. 15, – () J. Wexler, S. Raz: Discrete Gabor Expansions, IEEE J. Morlet, P. Tchamitchian: A RealTime Algorithm for Signal Analysis with the Help of.

Gibson und Wexler () definieren Trigger zunächst als Satz der Diesen Mechanismus bezeichnen sie als Triggering Learning Algorithm (TLA). Der TLA. gegeben, etwa durch einen Algorithmus, oder formelmäßig implizit bestimmt, etwa [] Wexler, A.: An algorithm for exact evaluation of multivariate functions. The triggering learning algorithm and the problem of local maxima search for the target grammar was described by Gibson and Wexler in an algorithmic―and, .

JENG, G., WEXLER, A.: Isoparametric finite element variational solution of ANDERSON, E., DONGARRA, J.: Evaluating block algorithm variants in LAPACK.

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