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A Data-Driven Approach to the Prediction of Plasticity in Composites Read chapter Read first chapter

2020 | OriginalPaper | Chapter

Proximate Objects Probabilistic Searching Method

Authors : Andrey Chukhray, Olena Havrylenko

Published in: Integrated Computer Technologies in Mechanical Engineering

Publisher: Springer International Publishing

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Abstract

The method of objects probabilistic search is developed based on the necessary proximity conditions in a Euclidean space, which were previously proved for the Levenshtein’s metric. The method is based on a random selection of k pivots in Euclidean space among the original objects, projecting all source objects in a k-dimensional Euclidean space, filling special hash data structures, and fast search facilities, similar to the desired, based on proven necessary conditions for the objects proximity in Euclidean space. Experimental studies of the proposed method show the higher speed in comparison with the known method.

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Metadata
Title
Proximate Objects Probabilistic Searching Method
Authors
Andrey Chukhray
Olena Havrylenko
Copyright Year
2020
Book
Integrated Computer Technologies in Mechanical Engineering

Print ISBN: 978-3-030-37617-8

Electronic ISBN: 978-3-030-37618-5

Copyright Year: 2020

DOI
https://doi.org/10.1007/978-3-030-37618-5_20

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