Classic Linear Sieves Revisited

Recent IT research on prime numbers has focused on generating large primes forcryptography, neglecting the advancement of systematic generation of prime numbers insequence using techniques like sieving. Despite being relegated to educational contexts, sieving techniques hold untapped potential. Much of the existing work remains obscure to contemporaryresearchers, leaving numerous opportunities to enhance the field. This article aims to highlight the relevance of old sieving algorithms, demonstrating that modern approaches and creativity can yield significant progress. DOI: 10.61416/ceai.v26i4.9098

Authors

Institutions

Publication Details

Journal
Journal of Control Engineering and Applied Informatics
Published
2024-12-22
DOI
https://doi.org/10.61416/ceai.v26i4.9098
Citations
1
Primary Topic
Mathematics and Applications
Type
article
Field-Weighted Citation Impact
1.01

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Classic Linear Sieves Revisited

Mircea Ghidarcea, Decebal Popescu
1 citations
Journal of Control Engineering and Applied Informatics
Mathematics and Applications
1.01
article

Classic Linear Sieves Revisited

Mircea Ghidarcea, Decebal Popescu
article en
1 citations

Abstract

Recent IT research on prime numbers has focused on generating large primes forcryptography, neglecting the advancement of systematic generation of prime numbers insequence using techniques like sieving. Despite being relegated to educational contexts, sieving techniques hold untapped potential. Much of the existing work remains obscure to contemporaryresearchers, leaving numerous opportunities to enhance the field. This article aims to highlight the relevance of old sieving algorithms, demonstrating that modern approaches and creativity can yield significant progress. DOI: 10.61416/ceai.v26i4.9098

Journal of Control Engineering and Applied InformaticsVol. 26(4)
Laboratoire d'Informatique de Paris-Nord (FR), Universitatea Națională de Știință și Tehnologie Politehnica București (RO)
National University of Science and Technology
Openalex Percentile: Top 21%
Mathematics and Applications
1.01
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.