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  • Search Results for 'Sparsification Logn'

Resparsification of Graphs
Resparsification of Graphs
calandra-battersby
Vertex Sparsification of Cuts, Flows, and Distances
Vertex Sparsification of Cuts, Flows, and Distances
myesha-ticknor
De nition1.1(UniqueGame).AuniquegameconsistsofaconstraintgraphG=(V;E),
De nition1.1(UniqueGame).AuniquegameconsistsofaconstraintgraphG=(V;E),
karlyn-bohler
forVertexCoverwiththesameapproximationfactor2� (1
forVertexCoverwiththesameapproximationfactor2 (1
alida-meadow
AdvancedApproximationAlgorithms(CMU18-854B,Spring2008)Lecture27:Algori
AdvancedApproximationAlgorithms(CMU18-854B,Spring2008)Lecture27:Algori
test
DictionaryLearningwithasquare,sparselyuseddictionary[17].Consideranm
DictionaryLearningwithasquare,sparselyuseddictionary[17].Consideranm
faustina-dinatale
On Sparsification
On Sparsification
conchita-marotz
LeftistTrees
LeftistTrees
debby-jeon
).Wearguethattheexactversionofthisproblemwouldalsosolveexactsimilarity
).Wearguethattheexactversionofthisproblemwouldalsosolveexactsimilarity
karlyn-bohler
locationusingtheoverlaygraphisdoneinthesevariousnetworksbyusingdi eren
locationusingtheoverlaygraphisdoneinthesevariousnetworksbyusingdi eren
tatyana-admore
experimentally.Oneofthemaincontributionsofthispaperistoshowthattheycan
experimentally.Oneofthemaincontributionsofthispaperistoshowthattheycan
min-jolicoeur
1IntroductionThecontributionofthispaperistwo-fold.First,wedeneanewcla
1IntroductionThecontributionofthispaperistwo-fold.First,wedeneanewcla
tatiana-dople
pected(k2n1=k)processingtimeperedge.Notethatthesizeofthespannerthusco
pected(k2n1=k)processingtimeperedge.Notethatthesizeofthespannerthusco
giovanna-bartolotta
2Beameetal.set-up,therearekplayers,withsetsx1;:::;xkf1;:::;ng,andthep
2Beameetal.set-up,therearekplayers,withsetsx1;:::;xkf1;:::;ng,andthep
lois-ondreau
LeftistHeaps|OverviewOurgoalistobeabletomergetwoheapsinO(logn)time,wh
LeftistHeaps|OverviewOurgoalistobeabletomergetwoheapsinO(logn)time,wh
alexa-scheidler
theoreticoptimum.WewillprovethematchinglowerboundinSection5.Aninterest
theoreticoptimum.WewillprovethematchinglowerboundinSection5.Aninterest
conchita-marotz
thedirectedgraph(whereseparatedirectededgeswouldrepresentTimsendingane
thedirectedgraph(whereseparatedirectededgeswouldrepresentTimsendingane
lois-ondreau
constant1=2,givenO(n)examples,withhighprobabilitytherewillonlybeonese
constant1=2,givenO(n)examples,withhighprobabilitytherewillonlybeonese
alida-meadow
2systemsregime.Thus,themean-eldanalysisshowsthat,inthelarge-systemsre
2systemsregime.Thus,themean-eldanalysisshowsthat,inthelarge-systemsre
sherrill-nordquist
isreleased,sothatthesenewnodesandedgeswillthenbepresentintheanonymized
isreleased,sothatthesenewnodesandedgeswillthenbepresentintheanonymized
yoshiko-marsland
Introduction2DRangetreesDegeneratecases
Introduction2DRangetreesDegeneratecases
pamella-moone
2errorprobabilityoveraquasi-staticmultiple-inputmultiple-output(MIMO)
2errorprobabilityoveraquasi-staticmultiple-inputmultiple-output(MIMO)
yoshiko-marsland
Math3210-3HW25SolutionsConvergenceTests1.Determinethevaluesofpforwhich
Math3210-3HW25SolutionsConvergenceTests1.Determinethevaluesofpforwhich
mitsue-stanley
Lattice Sparsification and the Approximate Closest Vector Problem
Lattice Sparsification and the Approximate Closest Vector Problem
aaron