Arpack
Julia wrapper for the arpack library designed to solve large-scale eigenvalue problems.
Installation
Install Arpack.jl through the Julia package manager:
julia> Pkg.add("Arpack")- Popularity
- 39 Stars
- Updated Last
- 1 Year Ago
- Started In
- May 2018
Required Packages
Used By Packages
-
AdmittanceModels
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AgnosticBayesEnsemble
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ApproximateBayesianComputing
-
AutoLandmarking
-
BifurcationKit
-
BiobakeryUtils
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BioProfiling
-
BLASBenchmarksGPU
-
Clusterpath
-
CollectiveSpins
-
CombinatorialMultigrid
-
CombineML
-
ConstraintSolver
-
CurricularVisualization
-
DiffEqTutorials
-
DiscretePersistentHomologyTransform
-
DSGE
-
EasyPlotting
-
Eirene
-
EmbeddingsAnalysis
-
Erdos
-
ErdosExtras
-
ExactDiagonalization
-
FEMMaterials
-
FinEtools
-
FinEtoolsAcoustics
-
FinEtoolsDeforLinear
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FinEtoolsDeforNonlinear
-
FinEtoolsFlexBeams
-
FinEtoolsHeatDiff
-
FinEtoolsMeshing
-
FinEtoolsVibInFluids
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FinEtoolsVoxelMesher
-
FrankWolfe
-
GaussianMixtures
-
GaussianRandomFields
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GeoThermalCloud
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GlobalApproximationValueIteration
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HigherOrderNetworks
-
ImageSegmentationEvaluation
-
IndependentComponentAnalysis
-
InfinitesimalGenerators
-
Intan
-
InvariantMeasures
-
Iris
-
Jags
-
JuliaFEM
-
Laplacians
-
LassoPlot
-
Lighthouse
-
LighthouseFlux
-
LocalAnisotropies
-
LowRankModels
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MambaModels
-
ManifoldLearning
-
MatrixCompletion
-
MatrixImpute
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MatrixNetworks
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MCMCBenchmarks
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MCPhylo
-
MFrontInterface
-
Microbiome
-
MicrobiomePlots
-
MLJMultivariateStatsInterface
-
Mozi
-
MultiscaleGraphSignalTransforms
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MultivariateAnomalies
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MultivariateStats
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NTFk
-
ProxSDP
-
Pseudospectra
-
QuantumOptics
-
QuantumWalk
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ScHoLP
-
SemiDiscretizationMethod
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ShellModel
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SpectralClustering
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StochasticSemiDiscretizationMethod
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Superfluids
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Twistronics
-
UMAP
-
WavesAndEigenvalues
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