A Random Sampling Algorithm for SVP Challenge Based on y-Sparse Representations of Short Lattice Vectors
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Year
: 2014DOI: 10.1109/ChiCC.2014.6897083
Keyword(s): network theory (graphs),n connection weights,n evolution equation,n mean field theory,n node degrees,n node strengths,n old vertices,n power-law distributions,n scale-free property,n simultaneous node-edge change,n weighted evolving complex network model,n Complex networks,n Educational institutions,n Electronic mail,n Equations,n Mathematical model,n Numerical models,n Simulation,n Complex Network,n Power-law Distributions,n Scale-free
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A Random Sampling Algorithm for SVP Challenge Based on y-Sparse Representations of Short Lattice Vectors
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| contributor author | Dan Ding | |
| contributor author | Guizhen Zhu | |
| date accessioned | 2020-03-12T22:37:16Z | |
| date available | 2020-03-12T22:37:16Z | |
| date issued | 2014 | |
| identifier other | 7016931.pdf | |
| identifier uri | http://libsearch.um.ac.ir:80/fum/handle/fum/1089010?locale-attribute=en | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | A Random Sampling Algorithm for SVP Challenge Based on y-Sparse Representations of Short Lattice Vectors | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8227152 | |
| subject keywords | network theory (graphs) | |
| subject keywords | n connection weights | |
| subject keywords | n evolution equation | |
| subject keywords | n mean field theory | |
| subject keywords | n node degrees | |
| subject keywords | n node strengths | |
| subject keywords | n old vertices | |
| subject keywords | n power-law distributions | |
| subject keywords | n scale-free property | |
| subject keywords | n simultaneous node-edge change | |
| subject keywords | n weighted evolving complex network model | |
| subject keywords | n Complex networks | |
| subject keywords | n Educational institutions | |
| subject keywords | n Electronic mail | |
| subject keywords | n Equations | |
| subject keywords | n Mathematical model | |
| subject keywords | n Numerical models | |
| subject keywords | n Simulation | |
| subject keywords | n Complex Network | |
| subject keywords | n Power-law Distributions | |
| subject keywords | n Scale-free | |
| identifier doi | 10.1109/ChiCC.2014.6897083 | |
| journal title | omputational Intelligence and Security (CIS), 2014 Tenth International Conference on | |
| filesize | 761451 | |
| citations | 0 |