Optimal approximate computation of Euclidean distance in spiking neural P systems framework

Optimal approximate computation of Euclidean distance in spiking neural P systems framework

Abstract A fast approximation for the Euclidean distance, i.e., the $$L_2$$ -norm of a complex number was investigated. The problem is obtaining an initial estimate with minimal effort and maximum numerical precision. We show how to eliminate the square root computation and improve the precision of...

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Bibliographic Details
Main Authors: Otgonbayar Agvaan, Gordon Cichon, Uuganbaatar Dulamragchaa, Hyun-chul Kim, Seonuck Paek, Tseren-Onolt Ishdorj
Format: Article
Language:English
Published: Nature Portfolio 2025-05-01
Series:Scientific Reports
Subjects:
Euclidean distance
$$L_{2}$$ -norm
approximate computation
Spiking neural P systems
HP/LP neurons
Online Access:https://doi.org/10.1038/s41598-025-02793-3
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https://doi.org/10.1038/s41598-025-02793-3

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