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A Random Sampling Algorithm for SVP Challenge Based on y-Sparse Representations of Short Lattice Vectors

contributor authorDan Ding
contributor authorGuizhen Zhu
date accessioned2020-03-12T22:37:16Z
date available2020-03-12T22:37:16Z
date issued2014
identifier other7016931.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1089010?show=full
formatgeneral
languageEnglish
publisherIEEE
titleA Random Sampling Algorithm for SVP Challenge Based on y-Sparse Representations of Short Lattice Vectors
typeConference Paper
contenttypeMetadata Only
identifier padid8227152
subject keywordsnetwork theory (graphs)
subject keywordsn connection weights
subject keywordsn evolution equation
subject keywordsn mean field theory
subject keywordsn node degrees
subject keywordsn node strengths
subject keywordsn old vertices
subject keywordsn power-law distributions
subject keywordsn scale-free property
subject keywordsn simultaneous node-edge change
subject keywordsn weighted evolving complex network model
subject keywordsn Complex networks
subject keywordsn Educational institutions
subject keywordsn Electronic mail
subject keywordsn Equations
subject keywordsn Mathematical model
subject keywordsn Numerical models
subject keywordsn Simulation
subject keywordsn Complex Network
subject keywordsn Power-law Distributions
subject keywordsn Scale-free
identifier doi10.1109/ChiCC.2014.6897083
journal titleomputational Intelligence and Security (CIS), 2014 Tenth International Conference on
filesize761451
citations0


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