dynamic algorithm

dynamic algorithm

[dī¦nam·ik ′al·gə‚rith·əm]
(computer science)
An algorithm whose operation is, to some extent, unpredictable in advance, generally because it contains logical decisions that are made on the basis of quantities computed during the course of the algorithm. Also known as heuristic algorithm.
References in periodicals archive ?
Considering the dynamic algorithm update rollouts and the lesser concern shown by DhruvSoft Technology for that, it's no surprise that they are considering to offer integrated Google AdWords and SEO services in California and beyond.
Sondergaard also gave examples such as, Amazon's recommendation algorithm that keeps customers engaged and buying; Netflix's dynamic algorithm -- built through crowdsourcing -- keeps people watching; and the Waze algorithm that directs thousands of independent cars on the road.
The Tera Bitcoin Price Index employs a dynamic algorithm that compiles and filters data on a real-time basis from a number of widely utilised global Bitcoin spot exchanges.
In the graph, the dynamic algorithm has the worst performance at all sensor placements.
Second, a dynamic algorithm that recomputes optimal path in each ITA lifecycle call based on internal knowledge base via mechanism presented in the previous chapter.
For the identification of desert dust outbreaks, an objective and dynamic algorithm will be set up where as initial conditions various aerosol optical properties derived by MODIS-Aqua, EP-TOMS and OMI platforms will be used.
2002) developed a link-based artificial neural network (ANN) and a stop-based ANN to predict bus arrival time where a dynamic algorithm was also presented to dynamically improve outputs.
The presentations discuss such topics as visualization of non-vectorial data using twin kernel embedding, dynamic algorithm selection using reinforcement learning, mining better technical trading strategies with genetic algorithms, finding the right features for instrument classification of classical music, quantification of intermarket influence based on global optimization and its application for stock market prediction, efficient fuzzy rules for classification, and computational quantification of trust updates, among others.
The dynamic algorithm also adjusts bandwidth allocation across the number of 802.
Extensive performance analysis based on the model metrics presented, demonstrated by simulation, the applicability of both the proposed model and the dynamic algorithm in Cluster computing.
The performance of a dynamic algorithm is a function of the interarrival distribution.

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